# Self-hosting AI models Models with open weights, sorted by the graphics card they need at least at 4-bit – with licence, model files, best benchmark and the API price for comparison. - 301 models with open weights - 278 with a GPU memory figure - 284 with model files on Hugging Face Open weights means: the model files are public, you can run the model on your own hardware. What you may do with it is governed by the licence – not every licence allows every use. GPU memory is derived, not measured: parameters (bn) × 0.55 GB + 4 GB at 4-bit quantisation. Example: 32.8 bn × 0.55 GB + 4 GB = 22.0 GB – fits a 24 GB card. This is a lower bound: common 4-bit files of large models need about 0.6 GB per billion parameters, long contexts and many concurrent requests considerably more. Which hardware for which purpose: [Hardware for local LLMs (tech blog)](https://www.searchit-enterprise-search.com/en/hardware-local-llm/) ## 24 GB – one RTX PRO 4000 _GPU memory (4-bit, derived) up to 24 GB · 189 models_ | Model | Type | Parameters (bn, total / active) | GPU memory (4-bit, derived) | Licence | Model files | Best benchmark | API price: Input | API price: Output | |---|---|---:|---:|---|---|---|---:|---:| | [@cf/ai4bharat/indictrans2-en-indic-1B](https://models.searchit-agent.ai/en/models/cf-ai4bharat-indictrans2-en-indic-1b/) | Language models | 1.12 | from 5 GB | MIT | [huggingface.co/ai4bharat/indictrans2-en-indic-1B](https://huggingface.co/ai4bharat/indictrans2-en-indic-1B) | – | €0.31 | €0.31 | | [@cf/aisingapore/gemma-sea-lion-v4-27b-it](https://models.searchit-agent.ai/en/models/cf-aisingapore-gemma-sea-lion-v4-27b-it/) | Language models | 27.43 | from 20 GB | Gemma Terms of Use | [huggingface.co/aisingapore/Gemma-SEA-LION-v4-27B-IT](https://huggingface.co/aisingapore/Gemma-SEA-LION-v4-27B-IT) | – | €0.31 | €0.50 | | [@cf/baai/bge-reranker-base](https://models.searchit-agent.ai/en/models/cf-baai-bge-reranker-base/) | Language models | 0.28 | from 5 GB | MIT | [huggingface.co/BAAI/bge-reranker-base](https://huggingface.co/BAAI/bge-reranker-base) | – | €0.0027 | – | | [@cf/baai/bge-small-en-v1.5](https://models.searchit-agent.ai/en/models/cf-baai-bge-small-en-v1-5/) | Embeddings | 0.033 | from 5 GB | MIT | [huggingface.co/BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5) | – | €0.018 | – | | [@cf/cloudflare/clef](https://models.searchit-agent.ai/en/models/cf-cloudflare-clef/) | Language models | 27.36 | from 20 GB | Apache-2.0 | [huggingface.co/Cloudflare/clef](https://huggingface.co/Cloudflare/clef) | – | – | – | | [@cf/cloudflare/clef-omni](https://models.searchit-agent.ai/en/models/cf-cloudflare-clef-omni/) | Language models | 35.26 / 3 | from 24 GB | Apache-2.0 | [huggingface.co/Cloudflare/clef-omni](https://huggingface.co/Cloudflare/clef-omni) | – | – | – | | [@cf/deepseek-ai/deepseek-r1-distill-qwen-32b](https://models.searchit-agent.ai/en/models/cf-deepseek-ai-deepseek-r1-distill-qwen-32b/) | Language models | 32.76 | from 23 GB | MIT | [huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B) | – | €0.45 | €4.37 | | [@cf/huggingface/distilbert-sst-2-int8](https://models.searchit-agent.ai/en/models/cf-huggingface-distilbert-sst-2-int8/) | Language models | 0.067 | from 5 GB | Apache-2.0 | [huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english) | – | – | – | | [@cf/ibm-granite/granite-4.0-h-micro](https://models.searchit-agent.ai/en/models/cf-ibm-granite-granite-4-0-h-micro/) | Language models | 3.19 | from 6 GB | Apache-2.0 | [huggingface.co/ibm-granite/granite-4.0-h-micro](https://huggingface.co/ibm-granite/granite-4.0-h-micro) | – | €0.015 | €0.10 | | [@cf/meta/llama-2-7b-chat-fp16](https://models.searchit-agent.ai/en/models/cf-meta-llama-2-7b-chat-fp16/) | Language models | 6.74 | from 8 GB | Llama 2 Community License | [huggingface.co/meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) | – | €0.50 | €5.97 | | [@cf/meta/llama-guard-3-8b](https://models.searchit-agent.ai/en/models/cf-meta-llama-guard-3-8b/) | Language models | 8.03 | from 9 GB | Llama 3.1 Community License | [huggingface.co/meta-llama/Llama-Guard-3-8B](https://huggingface.co/meta-llama/Llama-Guard-3-8B) | – | €0.43 | €0.027 | | [@cf/meta/m2m100-1.2b](https://models.searchit-agent.ai/en/models/cf-meta-m2m100-1-2b/) | Language models | 1.2 | from 5 GB | MIT | [huggingface.co/facebook/m2m100\_1.2B](https://huggingface.co/facebook/m2m100_1.2B) | – | €0.31 | €0.31 | | [@cf/microsoft/resnet-50](https://models.searchit-agent.ai/en/models/cf-microsoft-resnet-50/) | Image generation | 0.026 | from 5 GB | Apache-2.0 | [huggingface.co/microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) | – | – | – | | [@cf/mistral/mistral-7b-instruct-v0.1](https://models.searchit-agent.ai/en/models/mistral-7b-instruct-v0-1/) | Language models | 7.24 | from 8 GB | Apache-2.0 | [huggingface.co/mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) | – | €0.099 | €0.17 | | [@cf/moondream/moondream3.1-9B-A2B](https://models.searchit-agent.ai/en/models/cf-moondream-moondream3-1-9b-a2b/) | Language models | 9.27 / 2 | from 10 GB | Moondream Model License 1.0 | [huggingface.co/moondream/moondream3.1-9B-A2B](https://huggingface.co/moondream/moondream3.1-9B-A2B) | – | €0.27 | €0.90 | | [@cf/pfnet/plamo-embedding-1b](https://models.searchit-agent.ai/en/models/cf-pfnet-plamo-embedding-1b/) | Embeddings | 1.05 | from 5 GB | Apache-2.0 | [huggingface.co/pfnet/plamo-embedding-1b](https://huggingface.co/pfnet/plamo-embedding-1b) | – | €0.017 | – | | [@cf/pipecat-ai/smart-turn-v2](https://models.searchit-agent.ai/en/models/cf-pipecat-ai-smart-turn-v2/) | Language models | 0.095 | from 5 GB | BSD-2-Clause | [huggingface.co/pipecat-ai/smart-turn-v2](https://huggingface.co/pipecat-ai/smart-turn-v2) | – | – | – | | [@cf/qwen/qwen2.5-coder-32b-instruct](https://models.searchit-agent.ai/en/models/cf-qwen-qwen2-5-coder-32b-instruct/) | Language models | 32.76 | from 23 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct) | – | €0.59 | €0.90 | | [@cf/qwen/qwq-32b](https://models.searchit-agent.ai/en/models/cf-qwen-qwq-32b/) | Language models | 32.76 | from 23 GB | Apache-2.0 | [huggingface.co/Qwen/QwQ-32B](https://huggingface.co/Qwen/QwQ-32B) | – | €0.59 | €0.90 | | [All MiniLM L12 v2](https://models.searchit-agent.ai/en/models/all-minilm-l12-v2/) | Embeddings | 0.033 | from 5 GB | Apache-2.0 | [huggingface.co/sentence-transformers/all-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L12-v2) | [MTEB NFCorpus · rank 23 of 29](https://models.searchit-agent.ai/en/leaderboards/mteb-nfcorpus/) | €0.0045 | – | | [all-MiniLM-L6-v2](https://models.searchit-agent.ai/en/models/all-minilm-l6-v2/) | Embeddings | 0.022 | from 5 GB | Apache-2.0 | [huggingface.co/sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) | [MTEB NFCorpus · rank 24 of 29](https://models.searchit-agent.ai/en/leaderboards/mteb-nfcorpus/) | €0.0045 | – | | [all-mpnet-base-v2](https://models.searchit-agent.ai/en/models/all-mpnet-base-v2/) | Embeddings | 0.11 | from 5 GB | Apache-2.0 | [huggingface.co/sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) | [MTEB EnglishFinance3Retrieval · rank 11 of 34](https://models.searchit-agent.ai/en/leaderboards/mteb-englishfinance3retrieval/) | €0.0045 | – | | [Argus-Colqwen3.5-9b-v0](https://models.searchit-agent.ai/en/models/argus-colqwen3-5-9b-v0/) | Embeddings | 8.82 | from 9 GB | Apache-2.0 | [huggingface.co/DataScience-UIBK/Argus-Colqwen3.5-9b-v0](https://huggingface.co/DataScience-UIBK/Argus-Colqwen3.5-9b-v0) | – | – | – | | [AutoGLM Phone 9B Multilingual](https://models.searchit-agent.ai/en/models/autoglm-phone-9b-multilingual/) | Language models | 10.29 | from 10 GB | MIT | [huggingface.co/zai-org/AutoGLM-Phone-9B-Multilingual](https://huggingface.co/zai-org/AutoGLM-Phone-9B-Multilingual) | – | – | – | | [Aya Expanse](https://models.searchit-agent.ai/en/models/aya-expanse/) | Language models | 32.3 | from 22 GB | CC-BY-NC-4.0 | [huggingface.co/CohereLabs/aya-expanse-32b](https://huggingface.co/CohereLabs/aya-expanse-32b) | – | – | – | | [bekko-embedding-v1-a25m](https://models.searchit-agent.ai/en/models/bekko-embedding-v1-a25m/) | Embeddings | 0.12 | from 5 GB | MIT | [huggingface.co/hotchpotch/bekko-embedding-v1-a25m](https://huggingface.co/hotchpotch/bekko-embedding-v1-a25m) | [MTEB GermanQuAD-Retrieval · rank 3 of 26](https://models.searchit-agent.ai/en/leaderboards/mteb-germanquad-retrieval/) | – | – | | [bekko-embedding-v1-a8m](https://models.searchit-agent.ai/en/models/bekko-embedding-v1-a8m/) | Embeddings | 0.11 | from 5 GB | MIT | [huggingface.co/hotchpotch/bekko-embedding-v1-a8m](https://huggingface.co/hotchpotch/bekko-embedding-v1-a8m) | [MTEB GermanQuAD-Retrieval · rank 4 of 26](https://models.searchit-agent.ai/en/leaderboards/mteb-germanquad-retrieval/) | – | – | | [BGE Multilingual Gemma2](https://models.searchit-agent.ai/en/models/bge-multilingual-gemma2/) | Embeddings | 9.24 | from 10 GB | Gemma Terms | [huggingface.co/BAAI/bge-multilingual-gemma2](https://huggingface.co/BAAI/bge-multilingual-gemma2) | [MTEB ArguAna · rank 2 of 38](https://models.searchit-agent.ai/en/leaderboards/mteb-arguana/) | €0.01 | – | | [BGE Reranker v2 M3](https://models.searchit-agent.ai/en/models/bge-reranker-v2-m3/) | Language models | 0.57 | from 5 GB | Apache-2.0 | [huggingface.co/BAAI/bge-reranker-v2-m3](https://huggingface.co/BAAI/bge-reranker-v2-m3) | – | €0.011 | – | | [bge-base-en-v1.5](https://models.searchit-agent.ai/en/models/bge-base-en-v1-5/) | Embeddings | 0.11 | from 5 GB | MIT | [huggingface.co/BAAI/bge-base-en-v1.5](https://huggingface.co/BAAI/bge-base-en-v1.5) | [MTEB SciFact · rank 4 of 28](https://models.searchit-agent.ai/en/leaderboards/mteb-scifact/) | €0.0045 | – | | [bge-en-icl](https://models.searchit-agent.ai/en/models/bge-en-icl/) | Embeddings | 7.11 | from 8 GB | Apache-2.0 | [huggingface.co/BAAI/bge-en-icl](https://huggingface.co/BAAI/bge-en-icl) | – | €0.009 | – | | [bge-large-en-v1.5](https://models.searchit-agent.ai/en/models/bge-large-en-v1-5/) | Embeddings | 0.34 | from 5 GB | MIT | [huggingface.co/BAAI/bge-large-en-v1.5](https://huggingface.co/BAAI/bge-large-en-v1.5) | [MTEB SciFact · rank 3 of 28](https://models.searchit-agent.ai/en/leaderboards/mteb-scifact/) | €0.009 | – | | [BGE-M3](https://models.searchit-agent.ai/en/models/bge-m3/) | Embeddings | 0.57 | from 5 GB | MIT | [huggingface.co/BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3) | [MTEB EnglishFinance1Retrieval · rank 12 of 34](https://models.searchit-agent.ai/en/leaderboards/mteb-englishfinance1retrieval/) | €0.0082 | – | | [Chroma](https://models.searchit-agent.ai/en/models/chroma/) | Image generation | 8.9 | from 9 GB | Apache-2.0 | [huggingface.co/lodestones/Chroma1-HD](https://huggingface.co/lodestones/Chroma1-HD) | – | – | – | | [Cloudflare/clef-flash](https://models.searchit-agent.ai/en/models/clef-flash/) | Language models | 9.41 | from 10 GB | Apache-2.0 | [huggingface.co/Cloudflare/clef-flash](https://huggingface.co/Cloudflare/clef-flash) | – | – | – | | [CogView-4](https://models.searchit-agent.ai/en/models/cogview-4/) | Image generation | 6.37 | from 8 GB | Apache-2.0 | [huggingface.co/zai-org/CogView4-6B](https://huggingface.co/zai-org/CogView4-6B) | – | – | – | | [COLMODERNVBERT](https://models.searchit-agent.ai/en/models/colmodernvbert/) | Embeddings | 0.25 | from 5 GB | MIT | [huggingface.co/ModernVBERT/colmodernvbert](https://huggingface.co/ModernVBERT/colmodernvbert) | – | – | – | | [colnomic-embed-multimodal-7b](https://models.searchit-agent.ai/en/models/colnomic-embed-multimodal-7b/) | Embeddings | 7 | from 8 GB | Apache-2.0 | [huggingface.co/nomic-ai/colnomic-embed-multimodal-7b](https://huggingface.co/nomic-ai/colnomic-embed-multimodal-7b) | – | – | – | | [colpali-v1.3](https://models.searchit-agent.ai/en/models/colpali-v1-3/) | Embeddings | 2.92 | from 6 GB | Apache-2.0 | [huggingface.co/vidore/colpali-v1.3](https://huggingface.co/vidore/colpali-v1.3) | – | – | – | | [Command R 03-2024](https://models.searchit-agent.ai/en/models/command-r-03-2024/) | Language models | 34.98 | from 24 GB | CC-BY-NC-4.0 | [huggingface.co/CohereLabs/c4ai-command-r-v01](https://huggingface.co/CohereLabs/c4ai-command-r-v01) | [MMLU-Pro (TIGER-Lab Leaderboard) · rank 40 of 42](https://models.searchit-agent.ai/en/leaderboards/tiger-mmlu-pro/) | €0.45 | €1.34 | | [convaiinnovations/laya](https://models.searchit-agent.ai/en/models/convaiinnovations-laya/) | Language models | 0.42 | from 5 GB | Apache-2.0 | [huggingface.co/convaiinnovations/laya](https://huggingface.co/convaiinnovations/laya) | – | – | – | | [Cydonia 24B v4.1](https://models.searchit-agent.ai/en/models/cydonia-24b-v4-1/) | Language models | 23.57 | from 17 GB | – | [huggingface.co/TheDrummer/Cydonia-24B-v4.1](https://huggingface.co/TheDrummer/Cydonia-24B-v4.1) | – | €0.27 | €0.45 | | [DeepSeek OCR 2](https://models.searchit-agent.ai/en/models/deepseek-ocr-2/) | Language models | 3.39 | from 6 GB | Apache-2.0 | [huggingface.co/deepseek-ai/DeepSeek-OCR-2](https://huggingface.co/deepseek-ai/DeepSeek-OCR-2) | – | – | – | | [DeepSeek-OCR](https://models.searchit-agent.ai/en/models/deepseek-ocr/) | Image models | 3.34 | from 6 GB | MIT | [huggingface.co/deepseek-ai/DeepSeek-OCR](https://huggingface.co/deepseek-ai/DeepSeek-OCR) | – | €0.27 | €1.07 | | [Devstral](https://models.searchit-agent.ai/en/models/devstral/) | Language models | 23.57 | from 17 GB | Apache-2.0 | [huggingface.co/mistralai/Devstral-Small-2507](https://huggingface.co/mistralai/Devstral-Small-2507) | – | – | – | | [e5-base-v2](https://models.searchit-agent.ai/en/models/e5-base-v2/) | Embeddings | 0.11 | from 5 GB | MIT | [huggingface.co/intfloat/e5-base-v2](https://huggingface.co/intfloat/e5-base-v2) | [MTEB TRECCOVID · rank 24 of 37](https://models.searchit-agent.ai/en/leaderboards/mteb-treccovid/) | €0.0045 | – | | [e5-large-v2](https://models.searchit-agent.ai/en/models/e5-large-v2/) | Embeddings | 0.34 | from 5 GB | MIT | [huggingface.co/intfloat/e5-large-v2](https://huggingface.co/intfloat/e5-large-v2) | [MTEB GermanDPR · rank 11 of 22](https://models.searchit-agent.ai/en/leaderboards/mteb-germandpr/) | €0.009 | – | | [E5-Mistral-7B](https://models.searchit-agent.ai/en/models/e5-mistral-7b/) | Embeddings | 7.11 / 7.11 | from 8 GB | MIT | [huggingface.co/intfloat/e5-mistral-7b-instruct](https://huggingface.co/intfloat/e5-mistral-7b-instruct) | [MTEB SciFact · rank 2 of 28](https://models.searchit-agent.ai/en/leaderboards/mteb-scifact/) | €0.02 | – | | [embeddinggemma-300m](https://models.searchit-agent.ai/en/models/embeddinggemma-300m/) | Embeddings | 0.31 | from 5 GB | Gemma Terms | [huggingface.co/google/embeddinggemma-300m](https://huggingface.co/google/embeddinggemma-300m) | [MTEB ArguAna · rank 4 of 38](https://models.searchit-agent.ai/en/leaderboards/mteb-arguana/) | – | – | | [EuroLLM 22B](https://models.searchit-agent.ai/en/models/eurollm-22b/) | Language models | 22.64 | from 17 GB | Apache-2.0 | [huggingface.co/utter-project/EuroLLM-22B-Instruct-2512](https://huggingface.co/utter-project/EuroLLM-22B-Instruct-2512) | – | – | – | | [Flux schnell](https://models.searchit-agent.ai/en/models/flux-1-schnell/) | Image generation | 11.89 | from 11 GB | Apache-2.0 | [huggingface.co/black-forest-labs/FLUX.1-schnell](https://huggingface.co/black-forest-labs/FLUX.1-schnell) | – | – | – | | [FLUX-1-dev](https://models.searchit-agent.ai/en/models/flux-1-dev/) | Image generation | 11.9 | from 11 GB | FLUX.1 \[dev\] Non-Commercial License | [huggingface.co/black-forest-labs/FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev) | – | – | – | | [FLUX-2-klein-4b](https://models.searchit-agent.ai/en/models/flux-2-klein-4b/) | Image generation | 3.88 | from 7 GB | Apache-2.0 | [huggingface.co/black-forest-labs/FLUX.2-klein-4B](https://huggingface.co/black-forest-labs/FLUX.2-klein-4B) | – | – | – | | [FLUX-2-klein-9b](https://models.searchit-agent.ai/en/models/flux-2-klein-9b/) | Image generation | 9.08 | from 9 GB | FLUX Non-Commercial License | [huggingface.co/black-forest-labs/FLUX.2-klein-9B](https://huggingface.co/black-forest-labs/FLUX.2-klein-9B) | – | – | – | | [FLUX.2 \[dev\]](https://models.searchit-agent.ai/en/models/flux-2-dev/) | Image generation | 32.22 | from 22 GB | FLUX Non-Commercial License | [huggingface.co/black-forest-labs/FLUX.2-dev](https://huggingface.co/black-forest-labs/FLUX.2-dev) | – | – | – | | [Gemma 2 9B](https://models.searchit-agent.ai/en/models/gemma2-9b/) | Language models | 9.24 | from 10 GB | Gemma Terms of Use | [huggingface.co/google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it) | [MMLU-Pro (TIGER-Lab Leaderboard) · rank 32 of 42](https://models.searchit-agent.ai/en/leaderboards/tiger-mmlu-pro/) | – | – | | [Gemma 3 12B](https://models.searchit-agent.ai/en/models/gemma-3-12b/) | Language models | 12.19 | from 11 GB | Gemma Terms of Use | [huggingface.co/google/gemma-3-12b-it](https://huggingface.co/google/gemma-3-12b-it) | [Vectara HHEM-2.3 · rank 5 of 82](https://models.searchit-agent.ai/en/leaderboards/hhem/) | €0.045 | €0.13 | | [Gemma 3 27B](https://models.searchit-agent.ai/en/models/gemma-3-27b/) | Language models | 27.4 | from 20 GB | Gemma Terms of Use | [huggingface.co/google/gemma-3-27b-it](https://huggingface.co/google/gemma-3-27b-it) | [Vectara HHEM-2.3 · rank 27 of 82](https://models.searchit-agent.ai/en/leaderboards/hhem/) | €0.072 | €0.14 | | [Gemma 3 4B](https://models.searchit-agent.ai/en/models/gemma-3-4b/) | Language models | 4.3 | from 7 GB | Gemma Terms of Use | [huggingface.co/google/gemma-3-4b-it](https://huggingface.co/google/gemma-3-4b-it) | [Vectara HHEM-2.3 · rank 23 of 82](https://models.searchit-agent.ai/en/leaderboards/hhem/) | €0.018 | €0.036 | | [Gemma 4 31B](https://models.searchit-agent.ai/en/models/gemma-4-31b/) | Language models | 31 | from 22 GB | Apache-2.0 | [huggingface.co/google/gemma-4-31B-it](https://huggingface.co/google/gemma-4-31B-it) | [Vectara HHEM-2.3 · rank 27 of 82](https://models.searchit-agent.ai/en/leaderboards/hhem/) | €0.09 | €0.27 | | [Gemma 4 Uncensored](https://models.searchit-agent.ai/en/models/gemma-4-uncensored/) | Language models | 25.2 / 3.8 | from 18 GB | Gemma Terms of Use | [huggingface.co/Jiunsong/supergemma4-26b-uncensored-gguf-v2](https://huggingface.co/Jiunsong/supergemma4-26b-uncensored-gguf-v2) | – | €0.15 | €0.45 | | [gemma-4-12B-it](https://models.searchit-agent.ai/en/models/gemma-4-12b-it/) | Language models | 11.95 | from 11 GB | Apache-2.0 | [huggingface.co/google/gemma-4-12B-it](https://huggingface.co/google/gemma-4-12B-it) | – | €0.09 | €0.27 | | [GLM 4.7 Flash](https://models.searchit-agent.ai/en/models/glm-4-7-flash/) | Language models | 30 / 3 | from 21 GB | MIT | [huggingface.co/zai-org/GLM-4.7-Flash](https://huggingface.co/zai-org/GLM-4.7-Flash) | [Vectara HHEM-2.3 · rank 36 of 82](https://models.searchit-agent.ai/en/leaderboards/hhem/) | €0.031 | €0.18 | | [GLM 4.7 Flash Heretic](https://models.searchit-agent.ai/en/models/glm-4-7-flash-heretic/) | Language models | 30 / 3 | from 21 GB | MIT | [huggingface.co/Olafangensan/GLM-4.7-Flash-heretic](https://huggingface.co/Olafangensan/GLM-4.7-Flash-heretic) | – | €0.063 | €0.36 | | [GLM-4-32B-0414-128K](https://models.searchit-agent.ai/en/models/glm-4-32b-0414-128k/) | Language models | 32 | from 22 GB | MIT | [huggingface.co/zai-org/GLM-4-32B-0414](https://huggingface.co/zai-org/GLM-4-32B-0414) | – | €0.09 | €0.09 | | [GLM-OCR](https://models.searchit-agent.ai/en/models/glm-ocr/) | Image models | 0.9 | from 5 GB | – | [huggingface.co/zai-org/GLM-OCR](https://huggingface.co/zai-org/GLM-OCR) | – | €0.027 | €0.027 | | [gpt-oss-20b](https://models.searchit-agent.ai/en/models/gpt-oss-20b/) | Language models | 21 / 3.6 | from 16 GB | Apache-2.0 | [huggingface.co/openai/gpt-oss-20b](https://huggingface.co/openai/gpt-oss-20b) | [MMLU-Pro (TIGER-Lab Leaderboard) · rank 16 of 42](https://models.searchit-agent.ai/en/leaderboards/tiger-mmlu-pro/) | €0.024 | €0.11 | | [Granite 4.0 H Small](https://models.searchit-agent.ai/en/models/granite-4-0-h-small/) | Language models | 32.21 / 9 | from 22 GB | Apache-2.0 | [huggingface.co/ibm-granite/granite-4.0-h-small](https://huggingface.co/ibm-granite/granite-4.0-h-small) | [Vectara HHEM-2.3 · rank 11 of 82](https://models.searchit-agent.ai/en/leaderboards/hhem/) | – | – | | [Granite Vision 3.2 2B](https://models.searchit-agent.ai/en/models/granite-vision-3-2-2b/) | Image models | 2.98 | from 6 GB | Apache-2.0 | [huggingface.co/ibm-granite/granite-vision-3.2-2b](https://huggingface.co/ibm-granite/granite-vision-3.2-2b) | – | – | – | | [granite-embedding-278m-multilingual](https://models.searchit-agent.ai/en/models/granite-embedding-278m-multilingual/) | Embeddings | 0.28 | from 5 GB | Apache-2.0 | [huggingface.co/ibm-granite/granite-embedding-278m-multilingual](https://huggingface.co/ibm-granite/granite-embedding-278m-multilingual) | [MTEB GermanDPR · rank 10 of 22](https://models.searchit-agent.ai/en/leaderboards/mteb-germandpr/) | – | – | | [granite-embedding-311m-multilingual-r2](https://models.searchit-agent.ai/en/models/granite-embedding-311m-multilingual-r2/) | Embeddings | 0.31 | from 5 GB | Apache-2.0 | [huggingface.co/ibm-granite/granite-embedding-311m-multilingual-r2](https://huggingface.co/ibm-granite/granite-embedding-311m-multilingual-r2) | [MTEB SciFact · rank 14 of 28](https://models.searchit-agent.ai/en/leaderboards/mteb-scifact/) | – | – | | [granite-embedding-97m-multilingual-r2](https://models.searchit-agent.ai/en/models/granite-embedding-97m-multilingual-r2/) | Embeddings | 0.097 | from 5 GB | Apache-2.0 | [huggingface.co/ibm-granite/granite-embedding-97m-multilingual-r2](https://huggingface.co/ibm-granite/granite-embedding-97m-multilingual-r2) | [MTEB LegalQuAD · rank 27 of 44](https://models.searchit-agent.ai/en/leaderboards/mteb-legalquad/) | – | – | | [granite-vision-3.3-2b-embedding](https://models.searchit-agent.ai/en/models/granite-vision-3-3-2b-embedding/) | Embeddings | 2.98 | from 6 GB | Apache-2.0 | [huggingface.co/ibm-granite/granite-vision-3.3-2b-embedding](https://huggingface.co/ibm-granite/granite-vision-3.3-2b-embedding) | – | – | – | | [green-embedding](https://models.searchit-agent.ai/en/models/green-embedding/) | Embeddings | 4.02 | from 7 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3-Embedding-4B](https://huggingface.co/Qwen/Qwen3-Embedding-4B) | – | €0.20 | – | | [green-l](https://models.searchit-agent.ai/en/models/green-l/) | Language models | 24.01 | from 18 GB | Apache-2.0 | [huggingface.co/mistralai/Mistral-Small-3.2-24B-Instruct-2506](https://huggingface.co/mistralai/Mistral-Small-3.2-24B-Instruct-2506) | – | €0.25 | €0.80 | | [green-l-raw](https://models.searchit-agent.ai/en/models/green-l-raw/) | Language models | 24.01 | from 18 GB | Apache-2.0 | [huggingface.co/mistralai/Mistral-Small-3.2-24B-Instruct-2506](https://huggingface.co/mistralai/Mistral-Small-3.2-24B-Instruct-2506) | – | €0.25 | €0.80 | | [green-rerank](https://models.searchit-agent.ai/en/models/green-rerank/) | Language models | 4.02 | from 7 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3-Reranker-4B](https://huggingface.co/Qwen/Qwen3-Reranker-4B) | – | €0.12 | – | | [gte-base](https://models.searchit-agent.ai/en/models/gte-base/) | Embeddings | 0.11 | from 5 GB | MIT | [huggingface.co/thenlper/gte-base](https://huggingface.co/thenlper/gte-base) | [MTEB GermanDPR · rank 17 of 22](https://models.searchit-agent.ai/en/leaderboards/mteb-germandpr/) | €0.0045 | – | | [gte-large](https://models.searchit-agent.ai/en/models/gte-large/) | Embeddings | 0.34 | from 5 GB | MIT | [huggingface.co/thenlper/gte-large](https://huggingface.co/thenlper/gte-large) | [MTEB GermanDPR · rank 12 of 22](https://models.searchit-agent.ai/en/leaderboards/mteb-germandpr/) | €0.009 | – | | [gte-multilingual-base](https://models.searchit-agent.ai/en/models/gte-multilingual-base/) | Embeddings | 0.3 | from 5 GB | Apache-2.0 | [huggingface.co/Alibaba-NLP/gte-multilingual-base](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) | [MTEB SciFact · rank 7 of 28](https://models.searchit-agent.ai/en/leaderboards/mteb-scifact/) | – | – | | [harrier-oss-v1-270m](https://models.searchit-agent.ai/en/models/harrier-oss-v1-270m/) | Embeddings | 0.27 / 0.27 | from 5 GB | MIT | [huggingface.co/microsoft/harrier-oss-v1-270m](https://huggingface.co/microsoft/harrier-oss-v1-270m) | [MTEB ArguAna · rank 9 of 38](https://models.searchit-agent.ai/en/leaderboards/mteb-arguana/) | – | – | | [Ideogram V4](https://models.searchit-agent.ai/en/models/ideogram-4-0/) | Image generation | 9.3 | from 10 GB | Ideogram 4 Non-Commercial | [huggingface.co/ideogram-ai/ideogram-4-fp8](https://huggingface.co/ideogram-ai/ideogram-4-fp8) | – | – | – | | [intfloat/multilingual-e5-large](https://models.searchit-agent.ai/en/models/multilingual-e5-large/) | Embeddings | 0.56 | from 5 GB | MIT | [huggingface.co/intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) | [MTEB GermanDPR · rank 4 of 22](https://models.searchit-agent.ai/en/leaderboards/mteb-germandpr/) | €0.0082 | – | | [jina-clip-v1](https://models.searchit-agent.ai/en/models/jina-clip-v1/) | Embeddings | 0.22 | from 5 GB | Apache-2.0 | [huggingface.co/jinaai/jina-clip-v1](https://huggingface.co/jinaai/jina-clip-v1) | – | – | – | | [jina-clip-v2](https://models.searchit-agent.ai/en/models/jina-clip-v2/) | Embeddings | 0.86 | from 5 GB | Apache-2.0 | [huggingface.co/jinaai/jina-clip-v2](https://huggingface.co/jinaai/jina-clip-v2) | – | – | – | | [jina-embeddings-v2-base-de](https://models.searchit-agent.ai/en/models/jina-embeddings-v2-base-de/) | Embeddings | 0.16 | from 5 GB | Apache-2.0 | [huggingface.co/jinaai/jina-embeddings-v2-base-de](https://huggingface.co/jinaai/jina-embeddings-v2-base-de) | – | €0.05 | – | | [Kokoro Text to Speech](https://models.searchit-agent.ai/en/models/kokoro/) | Language models | 0.082 | from 5 GB | Apache-2.0 | [huggingface.co/hexgrad/Kokoro-82M](https://huggingface.co/hexgrad/Kokoro-82M) | – | – | – | | [Krea 2 Turbo](https://models.searchit-agent.ai/en/models/krea-2-turbo/) | Image generation | 12.82 | from 12 GB | Krea 2 Community License | [huggingface.co/krea/Krea-2-Turbo](https://huggingface.co/krea/Krea-2-Turbo) | – | – | – | | [LFM2.5-VL-3B](https://models.searchit-agent.ai/en/models/lfm2-5-vl-3b/) | Image models | 3.12 | from 6 GB | LFM Open License | [huggingface.co/LiquidAI/LFM2.5-VL-3B](https://huggingface.co/LiquidAI/LFM2.5-VL-3B) | – | – | – | | [LightOnOCR 2](https://models.searchit-agent.ai/en/models/lightonocr-2/) | Image models | 1.01 | from 5 GB | Apache-2.0 | [huggingface.co/lightonai/LightOnOCR-2-1B](https://huggingface.co/lightonai/LightOnOCR-2-1B) | – | €0.15 | €0.30 | | [lightonocr-3-0.8b](https://models.searchit-agent.ai/en/models/lightonocr-3-0-8b/) | Language models | 0.85 | from 5 GB | Apache-2.0 | [huggingface.co/lightonai/LightOnOCR-3-0.8B](https://huggingface.co/lightonai/LightOnOCR-3-0.8B) | – | – | – | | [Llama 3 8B](https://models.searchit-agent.ai/en/models/llama-3-8b/) | Language models | 8.03 | from 9 GB | Llama 3 Community License | [huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) | [OTIS Mock AIME 2024-2025 (Epoch AI) · rank 145 of 153](https://models.searchit-agent.ai/en/leaderboards/epoch-aime/) | €0.11 | €0.24 | | [Llama 3 8B Stheno V3.2](https://models.searchit-agent.ai/en/models/llama-3-8b-stheno-v3-2/) | Language models | 8.03 | from 9 GB | CC-BY-NC-4.0 | [huggingface.co/Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2) | – | – | – | | [Llama 3.1 8B Instruct](https://models.searchit-agent.ai/en/models/llama-3-1-8b/) | Language models | 8.03 | from 9 GB | Llama 3.1 Community License | [huggingface.co/meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) | [MMLU-Pro (TIGER-Lab Leaderboard) · rank 36 of 42](https://models.searchit-agent.ai/en/leaderboards/tiger-mmlu-pro/) | €0.018 | €0.036 | | [Llama 3.2 1B](https://models.searchit-agent.ai/en/models/llama-3-2-1b/) | Language models | 1.24 | from 5 GB | Llama 3.2 Community License | [huggingface.co/meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) | [OTIS Mock AIME 2024-2025 (Epoch AI) · rank 150 of 153](https://models.searchit-agent.ai/en/leaderboards/epoch-aime/) | €0.024 | €0.18 | | [Llama 3.2 3B](https://models.searchit-agent.ai/en/models/llama-3-2-3b/) | Language models | 3.21 | from 6 GB | Llama 3.2 Community License | [huggingface.co/meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) | [Berkeley Function-Calling Leaderboard V4 · rank 40 of 42](https://models.searchit-agent.ai/en/leaderboards/bfcl-v4/) | €0.046 | €0.30 | | [Llama 3.2 Vision 11B](https://models.searchit-agent.ai/en/models/llama-3-2-11b-vision/) | Image models | 10.67 | from 10 GB | Llama 3.2 Community License | [huggingface.co/meta-llama/Llama-3.2-11B-Vision-Instruct](https://huggingface.co/meta-llama/Llama-3.2-11B-Vision-Instruct) | – | €0.14 | €0.14 | | [Llama-Guard-4-12B](https://models.searchit-agent.ai/en/models/llama-guard-4-12b/) | Language models | 12 | from 11 GB | Llama 4 Community License | [huggingface.co/meta-llama/Llama-Guard-4-12B](https://huggingface.co/meta-llama/Llama-Guard-4-12B) | – | €0.16 | €0.16 | | [LLaVA 1.5 7B](https://models.searchit-agent.ai/en/models/llava-1-5-7b/) | Image models | 7.06 | from 8 GB | Llama-2-Lizenz | [huggingface.co/llava-hf/llava-1.5-7b-hf](https://huggingface.co/llava-hf/llava-1.5-7b-hf) | – | – | – | | [M MiniCPM-V 4.5](https://models.searchit-agent.ai/en/models/minicpm-v-4-5/) | Language models | 8.7 | from 9 GB | Apache-2.0 | [huggingface.co/openbmb/MiniCPM-V-4\_5](https://huggingface.co/openbmb/MiniCPM-V-4_5) | – | €0.58 | €0.98 | | [Magistral Small 1.2](https://models.searchit-agent.ai/en/models/magistral-small-1-2/) | Language models | 24.01 | from 18 GB | Apache-2.0 | [huggingface.co/mistralai/Magistral-Small-2509](https://huggingface.co/mistralai/Magistral-Small-2509) | [OTIS Mock AIME 2024-2025 (Epoch AI) · rank 116 of 153](https://models.searchit-agent.ai/en/leaderboards/epoch-aime/) | €0.22 | €0.67 | | [Ministral 3 14B](https://models.searchit-agent.ai/en/models/ministral-14b-2512/) | Image models | 13.95 | from 12 GB | Apache-2.0 | [huggingface.co/mistralai/Ministral-3-14B-Instruct-2512](https://huggingface.co/mistralai/Ministral-3-14B-Instruct-2512) | [Vectara HHEM-2.3 · rank 79 of 82](https://models.searchit-agent.ai/en/leaderboards/hhem/) | €0.09 | €0.09 | | [Ministral 3 3B](https://models.searchit-agent.ai/en/models/ministral-3b-2512/) | Language models | 3.85 | from 7 GB | Apache-2.0 | [huggingface.co/mistralai/Ministral-3-3B-Instruct-2512](https://huggingface.co/mistralai/Ministral-3-3B-Instruct-2512) | [Vectara HHEM-2.3 · rank 82 of 82](https://models.searchit-agent.ai/en/leaderboards/hhem/) | €0.045 | €0.045 | | [Ministral 3 8B](https://models.searchit-agent.ai/en/models/ministral-3-8b/) | Language models | 8.92 | from 9 GB | Apache-2.0 | [huggingface.co/mistralai/Ministral-3-8B-Instruct-2512](https://huggingface.co/mistralai/Ministral-3-8B-Instruct-2512) | [searchit Entity Extraction · rank 31 of 53](https://models.searchit-agent.ai/en/leaderboards/searchit-entity-extraction/) | €0.063 | €0.063 | | [Mistral 7B](https://models.searchit-agent.ai/en/models/mistral-7b/) | Language models | 7.25 | from 8 GB | Apache-2.0 | [huggingface.co/mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) | – | €0.13 | €0.18 | | [Mistral 7B Instruct](https://models.searchit-agent.ai/en/models/mistral-7b-instruct-v0-3/) | Language models | 7.25 | from 8 GB | Apache-2.0 | [huggingface.co/mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) | [OTIS Mock AIME 2024-2025 (Epoch AI) · rank 152 of 153](https://models.searchit-agent.ai/en/leaderboards/epoch-aime/) | €0.12 | €0.12 | | [Mistral Nemo Instruct](https://models.searchit-agent.ai/en/models/mistral-nemo-instruct-2407/) | Language models | 12.25 | from 11 GB | Apache-2.0 | [huggingface.co/mistralai/Mistral-Nemo-Instruct-2407](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407) | [Berkeley Function-Calling Leaderboard V4 · rank 35 of 42](https://models.searchit-agent.ai/en/leaderboards/bfcl-v4/) | €0.016 | €0.025 | | [Mistral Small 24B Instruct New](https://models.searchit-agent.ai/en/models/mistral-small-24b-instruct-new/) | Language models | 24.01 | from 18 GB | Apache-2.0 | [huggingface.co/mistralai/Mistral-Small-3.2-24B-Instruct-2506](https://huggingface.co/mistralai/Mistral-Small-3.2-24B-Instruct-2506) | – | €0.099 | €0.30 | | [Mistral Small 3 24B](https://models.searchit-agent.ai/en/models/mistral-small-3-24b/) | Language models | 23.6 | from 17 GB | Apache-2.0 | [huggingface.co/mistralai/Mistral-Small-24B-Instruct-2501](https://huggingface.co/mistralai/Mistral-Small-24B-Instruct-2501) | [Vectara HHEM-2.3 · rank 8 of 82](https://models.searchit-agent.ai/en/leaderboards/hhem/) | €0.045 | €0.072 | | [Mistral Small 3.1 24B](https://models.searchit-agent.ai/en/models/mistral-small-3-1-24b/) | Language models | 24.01 | from 18 GB | Apache-2.0 | [huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503](https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503) | [OTIS Mock AIME 2024-2025 (Epoch AI) · rank 139 of 153](https://models.searchit-agent.ai/en/leaderboards/epoch-aime/) | €0.09 | €0.27 | | [Mistral Small 3.2 24B](https://models.searchit-agent.ai/en/models/mistral-small-3-2-24b/) | Language models | 24.01 | from 18 GB | Apache-2.0 | [huggingface.co/mistralai/Mistral-Small-3.2-24B-Instruct-2506](https://huggingface.co/mistralai/Mistral-Small-3.2-24B-Instruct-2506) | [Berkeley Function-Calling Leaderboard V4 · rank 26 of 42](https://models.searchit-agent.ai/en/leaderboards/bfcl-v4/) | €0.061 | €0.16 | | [mistral-7b-instruct-v0.2](https://models.searchit-agent.ai/en/models/mistral-7b-instruct-v0-2/) | Language models | 7.24 | from 8 GB | Apache-2.0 | [huggingface.co/mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) | [MMLU-Pro (TIGER-Lab Leaderboard) · rank 42 of 42](https://models.searchit-agent.ai/en/leaderboards/tiger-mmlu-pro/) | €0.14 | €0.20 | | [most-embed-de](https://models.searchit-agent.ai/en/models/most-embed-de/) | Embeddings | 1.14 | from 5 GB | CC-BY-NC-4.0 | [huggingface.co/malteos/most-embed-de](https://huggingface.co/malteos/most-embed-de) | [MTEB LegalQuAD · rank 1 of 44](https://models.searchit-agent.ai/en/leaderboards/mteb-legalquad/) | – | – | | [multi-qa-mpnet-base-dot-v1](https://models.searchit-agent.ai/en/models/multi-qa-mpnet-base-dot-v1/) | Embeddings | 0.11 | from 5 GB | – | [huggingface.co/sentence-transformers/multi-qa-mpnet-base-dot-v1](https://huggingface.co/sentence-transformers/multi-qa-mpnet-base-dot-v1) | – | €0.0045 | – | | [multilingual-e5-large-instruct](https://models.searchit-agent.ai/en/models/multilingual-e5-large-instruct/) | Embeddings | 0.56 | from 5 GB | MIT | [huggingface.co/intfloat/multilingual-e5-large-instruct](https://huggingface.co/intfloat/multilingual-e5-large-instruct) | [MTEB GermanQuAD-Retrieval · rank 6 of 26](https://models.searchit-agent.ai/en/leaderboards/mteb-germanquad-retrieval/) | €0.009 | – | | [multilingual-e5-small](https://models.searchit-agent.ai/en/models/multilingual-e5-small/) | Embeddings | 0.12 | from 5 GB | MIT | [huggingface.co/intfloat/multilingual-e5-small](https://huggingface.co/intfloat/multilingual-e5-small) | [MTEB GermanQuAD-Retrieval · rank 10 of 26](https://models.searchit-agent.ai/en/leaderboards/mteb-germanquad-retrieval/) | €0.0067 | – | | [mxbai-embed-large-v1](https://models.searchit-agent.ai/en/models/mxbai-embed-large-v1/) | Embeddings | 0.34 | from 5 GB | Apache-2.0 | [huggingface.co/mixedbread-ai/mxbai-embed-large-v1](https://huggingface.co/mixedbread-ai/mxbai-embed-large-v1) | [MTEB NFCorpus · rank 3 of 29](https://models.searchit-agent.ai/en/leaderboards/mteb-nfcorpus/) | – | – | | [Nemotron Embed VL 1B v2](https://models.searchit-agent.ai/en/models/nemotron-embed-vl-1b-v2/) | Embeddings | 1.7 | from 5 GB | NVIDIA Open Model License | [huggingface.co/nvidia/llama-nemotron-embed-vl-1b-v2](https://huggingface.co/nvidia/llama-nemotron-embed-vl-1b-v2) | – | €0.011 | €0.011 | | [nemotron-colembed-vl-8b-v2](https://models.searchit-agent.ai/en/models/nemotron-colembed-vl-8b-v2/) | Embeddings | 8.77 | from 9 GB | eigene Lizenz - vor Einsatz pruefen | [huggingface.co/nvidia/nemotron-colembed-vl-8b-v2](https://huggingface.co/nvidia/nemotron-colembed-vl-8b-v2) | – | – | – | | [Nemotron-Content-Safety-3.5](https://models.searchit-agent.ai/en/models/nemotron-content-safety-3-5/) | Language models | 4 | from 7 GB | OpenMDW-1.1 + Gemma Terms of Use | [huggingface.co/nvidia/Nemotron-3.5-Content-Safety](https://huggingface.co/nvidia/Nemotron-3.5-Content-Safety) | – | €0.18 | €0.18 | | [nemotron-nano-v2-12b](https://models.searchit-agent.ai/en/models/nemotron-nano-v2-12b/) | Language models | 12.31 | from 11 GB | NVIDIA Open Model License | [huggingface.co/nvidia/NVIDIA-Nemotron-Nano-12B-v2](https://huggingface.co/nvidia/NVIDIA-Nemotron-Nano-12B-v2) | – | €0.21 | €0.64 | | [nomic-embed-text-v1.5](https://models.searchit-agent.ai/en/models/nomic-embed-text-v1-5/) | Embeddings | 0.14 | from 5 GB | Apache-2.0 | [huggingface.co/nomic-ai/nomic-embed-text-v1.5](https://huggingface.co/nomic-ai/nomic-embed-text-v1.5) | [MTEB SciFact · rank 16 of 28](https://models.searchit-agent.ai/en/leaderboards/mteb-scifact/) | – | – | | [nomic-embed-text-v2-moe](https://models.searchit-agent.ai/en/models/nomic-embed-text-v2-moe/) | Embeddings | 0.47 / 0.3 | from 5 GB | Apache-2.0 | [huggingface.co/nomic-ai/nomic-embed-text-v2-moe](https://huggingface.co/nomic-ai/nomic-embed-text-v2-moe) | [MTEB EnglishFinance1Retrieval · rank 8 of 34](https://models.searchit-agent.ai/en/leaderboards/mteb-englishfinance1retrieval/) | – | – | | [nomic-embed-vision-v1.5](https://models.searchit-agent.ai/en/models/nomic-embed-vision-v1-5/) | Embeddings | 0.093 | from 5 GB | Apache-2.0 | [huggingface.co/nomic-ai/nomic-embed-vision-v1.5](https://huggingface.co/nomic-ai/nomic-embed-vision-v1.5) | – | – | – | | [North Micro Vision Instruct](https://models.searchit-agent.ai/en/models/north-micro-vision/) | Image models | 2.48 | from 6 GB | Apache-2.0 | [huggingface.co/CohereLabs/north-micro-vision-instruct](https://huggingface.co/CohereLabs/north-micro-vision-instruct) | – | – | – | | [NVIDIA Nemotron 3 Nano 30B](https://models.searchit-agent.ai/en/models/nvidia-nemotron-3-nano-30b-a3b/) | Language models | 31.58 / 3.5 | from 22 GB | NVIDIA Nemotron Open Model License | [huggingface.co/nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16](https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16) | [Vectara HHEM-2.3 · rank 40 of 82](https://models.searchit-agent.ai/en/leaderboards/hhem/) | €0.027 | €0.11 | | [NVIDIA Nemotron 3.5 Lightning 30B A3B](https://models.searchit-agent.ai/en/models/nvidia-nemotron-3-5-lightning-30b-a3b/) | Language models | 30 / 3 | from 21 GB | OpenMDW-1.1 | [huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16](https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16) | – | €0.046 | €0.14 | | [NVIDIA Nemotron Nano 2](https://models.searchit-agent.ai/en/models/nvidia-nemotron-nano-2/) | Language models | 8.89 | from 9 GB | NVIDIA Open Model License | [huggingface.co/nvidia/NVIDIA-Nemotron-Nano-9B-v2](https://huggingface.co/nvidia/NVIDIA-Nemotron-Nano-9B-v2) | – | €0.027 | €0.11 | | [NVIDIA Nemotron Nano 2 VL](https://models.searchit-agent.ai/en/models/nvidia-nemotron-nano-2-vl/) | Language models | 13.18 | from 12 GB | NVIDIA Open Model License | [huggingface.co/nvidia/NVIDIA-Nemotron-Nano-12B-v2-VL-BF16](https://huggingface.co/nvidia/NVIDIA-Nemotron-Nano-12B-v2-VL-BF16) | – | €0.054 | €0.21 | | [Ops-Colqwen3-4B](https://models.searchit-agent.ai/en/models/ops-colqwen3-4b/) | Embeddings | 4.44 | from 7 GB | Apache-2.0 | [huggingface.co/OpenSearch-AI/Ops-Colqwen3-4B](https://huggingface.co/OpenSearch-AI/Ops-Colqwen3-4B) | – | – | – | | [Orpheus TTS](https://models.searchit-agent.ai/en/models/orpheus-tts/) | Language models | 3.78 | from 7 GB | Apache-2.0 | [huggingface.co/canopylabs/orpheus-3b-0.1-ft](https://huggingface.co/canopylabs/orpheus-3b-0.1-ft) | – | – | – | | [Parakeet ASR](https://models.searchit-agent.ai/en/models/parakeet-asr/) | Language models | 0.6 | from 5 GB | CC-BY-4.0 | [huggingface.co/nvidia/parakeet-tdt-0.6b-v3](https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3) | – | – | – | | [paraphrase-MiniLM-L6-v2](https://models.searchit-agent.ai/en/models/paraphrase-minilm-l6-v2/) | Embeddings | 0.023 | from 5 GB | Apache-2.0 | [huggingface.co/sentence-transformers/paraphrase-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/paraphrase-MiniLM-L6-v2) | – | €0.0045 | – | | [Phi-4](https://models.searchit-agent.ai/en/models/phi-4/) | Language models | 14.7 | from 13 GB | MIT | [huggingface.co/microsoft/phi-4](https://huggingface.co/microsoft/phi-4) | [Vectara HHEM-2.3 · rank 3 of 82](https://models.searchit-agent.ai/en/leaderboards/hhem/) | €0.063 | €0.13 | | [Qwen 2.5 7B](https://models.searchit-agent.ai/en/models/qwen-2-5-7b-instruct/) | Language models | 7 / 7.61 | from 9 GB | Apache 2.0 | [huggingface.co/Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) | [OTIS Mock AIME 2024-2025 (Epoch AI) · rank 142 of 153](https://models.searchit-agent.ai/en/leaderboards/epoch-aime/) | €0.033 | €0.082 | | [Qwen 3 TTS 0.6B](https://models.searchit-agent.ai/en/models/qwen-3-tts-0-6b/) | Language models | 0.91 | from 5 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice](https://huggingface.co/Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice) | – | – | – | | [Qwen 3 TTS 1.7B](https://models.searchit-agent.ai/en/models/qwen-3-tts-1-7b/) | Language models | 1.92 | from 6 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice](https://huggingface.co/Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice) | – | – | – | | [Qwen Image](https://models.searchit-agent.ai/en/models/qwen-image/) | Image generation | 20 | from 15 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen-Image](https://huggingface.co/Qwen/Qwen-Image) | – | – | – | | [Qwen Image 2.1 Turbo](https://models.searchit-agent.ai/en/models/qwen-image-2-1-turbo/) | Image generation | 7.12 | from 8 GB | Qwen Research License | [huggingface.co/Qwen/Qwen-Image-2.1-Turbo](https://huggingface.co/Qwen/Qwen-Image-2.1-Turbo) | – | – | – | | [Qwen Image Edit](https://models.searchit-agent.ai/en/models/qwen-image-edit/) | Image generation | 20 | from 15 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen-Image-Edit](https://huggingface.co/Qwen/Qwen-Image-Edit) | – | – | – | | [Qwen/Qwen3-Reranker-0.6B](https://models.searchit-agent.ai/en/models/qwen-qwen3-reranker-0-6b/) | Language models | 0.6 | from 5 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3-Reranker-0.6B](https://huggingface.co/Qwen/Qwen3-Reranker-0.6B) | – | €0.0098 | – | | [Qwen2.5-VL 32B Instruct](https://models.searchit-agent.ai/en/models/qwen2-5-vl-32b-instruct/) | Image models | 33.45 | from 23 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen2.5-VL-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-32B-Instruct) | – | – | – | | [Qwen2.5-VL 7B Instruct](https://models.searchit-agent.ai/en/models/qwen2-5-vl-7b-instruct/) | Image models | 8.29 | from 9 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct) | – | – | – | | [Qwen3 30B A3B Instruct 2507](https://models.searchit-agent.ai/en/models/qwen3-30b-a3b-instruct-2507/) | Language models | 30.53 / 3.3 | from 21 GB | – | [huggingface.co/Qwen/Qwen3-30B-A3B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-30B-A3B-Instruct-2507) | [Berkeley Function-Calling Leaderboard V4 · rank 22 of 42](https://models.searchit-agent.ai/en/leaderboards/bfcl-v4/) | €0.089 | €0.27 | | [Qwen3 8B](https://models.searchit-agent.ai/en/models/qwen3-8b/) | Language models | 8 | from 9 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) | [Vectara HHEM-2.3 · rank 7 of 82](https://models.searchit-agent.ai/en/leaderboards/hhem/) | – | – | | [Qwen3 Coder 30B](https://models.searchit-agent.ai/en/models/qwen3-coder-30b-a3b-instruct/) | Language models | 30.53 / 3.3 | from 21 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct](https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct) | – | €0.057 | €0.21 | | [Qwen3 Embedding 8B](https://models.searchit-agent.ai/en/models/qwen3-embedding-8b/) | Embeddings | 7.57 / 7.57 | from 9 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3-Embedding-8B](https://huggingface.co/Qwen/Qwen3-Embedding-8B) | [MTEB TRECCOVID · rank 1 of 37](https://models.searchit-agent.ai/en/leaderboards/mteb-treccovid/) | €0.009 | – | | [Qwen3-14B](https://models.searchit-agent.ai/en/models/qwen3-14b/) | Language models | 14.77 | from 13 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3-14B](https://huggingface.co/Qwen/Qwen3-14B) | [Vectara HHEM-2.3 · rank 13 of 82](https://models.searchit-agent.ai/en/leaderboards/hhem/) | €0.11 | €0.21 | | [Qwen3-30B-A3B](https://models.searchit-agent.ai/en/models/qwen3-30b-a3b/) | Language models | 30.5 / 3.3 | from 21 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3-30B-A3B](https://huggingface.co/Qwen/Qwen3-30B-A3B) | [OTIS Mock AIME 2024-2025 (Epoch AI) · rank 96 of 153](https://models.searchit-agent.ai/en/leaderboards/epoch-aime/) | €0.046 | €0.30 | | [Qwen3-32B](https://models.searchit-agent.ai/en/models/qwen3-32b/) | Language models | 32.8 | from 23 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3-32B](https://huggingface.co/Qwen/Qwen3-32B) | [Vectara HHEM-2.3 · rank 19 of 82](https://models.searchit-agent.ai/en/leaderboards/hhem/) | €0.072 | €0.25 | | [Qwen3-Embedding-0.6B](https://models.searchit-agent.ai/en/models/qwen3-embedding-0-6b/) | Embeddings | 0.59 / 0.6 | from 5 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3-Embedding-0.6B](https://huggingface.co/Qwen/Qwen3-Embedding-0.6B) | [MTEB TRECCOVID · rank 2 of 37](https://models.searchit-agent.ai/en/leaderboards/mteb-treccovid/) | €0.011 | – | | [Qwen3-Reranker-4B](https://models.searchit-agent.ai/en/models/qwen3-reranker-4b/) | Language models | 4 | from 7 GB | Apache 2.0 | [huggingface.co/Qwen/Qwen3-Reranker-4B](https://huggingface.co/Qwen/Qwen3-Reranker-4B) | – | €0.05 | – | | [Qwen3-VL 30B-A3B Instruct](https://models.searchit-agent.ai/en/models/qwen3-vl-30b-a3b-instruct/) | Image models | 31.07 / 3 | from 22 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3-VL-30B-A3B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Instruct) | – | €0.13 | €0.54 | | [Qwen3-VL 32B Instruct](https://models.searchit-agent.ai/en/models/qwen3-vl-32b-instruct/) | Image models | 33.36 | from 23 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3-VL-32B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-32B-Instruct) | – | – | – | | [Qwen3-VL 32B Thinking](https://models.searchit-agent.ai/en/models/qwen3-vl-32b-thinking/) | Image models | 33.36 | from 23 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3-VL-32B-Thinking](https://huggingface.co/Qwen/Qwen3-VL-32B-Thinking) | – | – | – | | [Qwen3-VL 4B Instruct](https://models.searchit-agent.ai/en/models/qwen3-vl-4b-instruct/) | Image models | 4.44 | from 7 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3-VL-4B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-4B-Instruct) | – | – | – | | [Qwen3-VL 8B Instruct](https://models.searchit-agent.ai/en/models/qwen3-vl-8b-instruct/) | Image models | 8.77 | from 9 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3-VL-8B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-8B-Instruct) | – | €0.22 | €0.67 | | [Qwen3-VL 8B Thinking](https://models.searchit-agent.ai/en/models/qwen3-vl-8b-thinking/) | Image models | 8.77 | from 9 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3-VL-8B-Thinking](https://huggingface.co/Qwen/Qwen3-VL-8B-Thinking) | – | – | – | | [Qwen3-VL Embedding 8B](https://models.searchit-agent.ai/en/models/qwen3-vl-embedding-8b/) | Embeddings | 8.14 | from 9 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3-VL-Embedding-8B](https://huggingface.co/Qwen/Qwen3-VL-Embedding-8B) | – | €0.08 | – | | [Qwen3-VL Reranker-8B](https://models.searchit-agent.ai/en/models/qwen3-vl-reranker-8b/) | Language models | 8 | from 9 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3-VL-Reranker-8B](https://huggingface.co/Qwen/Qwen3-VL-Reranker-8B) | – | €0.04 | – | | [Qwen3-VL-Embedding-2B](https://models.searchit-agent.ai/en/models/qwen3-vl-embedding-2b/) | Embeddings | 2.13 | from 6 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3-VL-Embedding-2B](https://huggingface.co/Qwen/Qwen3-VL-Embedding-2B) | – | – | – | | [Qwen3.5 2B](https://models.searchit-agent.ai/en/models/qwen3-5-2b/) | Language models | 2.27 | from 6 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3.5-2B](https://huggingface.co/Qwen/Qwen3.5-2B) | – | – | – | | [Qwen3.5-27B](https://models.searchit-agent.ai/en/models/qwen3-5-27b/) | Language models | 27.78 | from 20 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3.5-27B](https://huggingface.co/Qwen/Qwen3.5-27B) | [MMLU-Pro (TIGER-Lab Leaderboard) · rank 5 of 42](https://models.searchit-agent.ai/en/leaderboards/tiger-mmlu-pro/) | €0.23 | €2.33 | | [Qwen3.5-35B-A3B](https://models.searchit-agent.ai/en/models/qwen3-5-35b-a3b/) | Language models | 35.95 / 3 | from 24 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3.5-35B-A3B](https://huggingface.co/Qwen/Qwen3.5-35B-A3B) | [searchit Entity Extraction · rank 28 of 53](https://models.searchit-agent.ai/en/leaderboards/searchit-entity-extraction/) | €0.13 | €0.90 | | [Qwen3.5-9B](https://models.searchit-agent.ai/en/models/qwen3-5-9b/) | Language models | 9.65 | from 10 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3.5-9B](https://huggingface.co/Qwen/Qwen3.5-9B) | [MMLU-Pro (TIGER-Lab Leaderboard) · rank 8 of 42](https://models.searchit-agent.ai/en/leaderboards/tiger-mmlu-pro/) | €0.09 | €0.13 | | [Qwen3.6-27B](https://models.searchit-agent.ai/en/models/qwen3-6-27b/) | Language models | 27.78 | from 20 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3.6-27B](https://huggingface.co/Qwen/Qwen3.6-27B) | [OTIS Mock AIME 2024-2025 (Epoch AI) · rank 54 of 153](https://models.searchit-agent.ai/en/leaderboards/epoch-aime/) | €0.22 | €1.79 | | [Qwen3.6-35B-A3B](https://models.searchit-agent.ai/en/models/qwen3-6-35b-a3b/) | Language models | 35.95 / 3 | from 24 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3.6-35B-A3B](https://huggingface.co/Qwen/Qwen3.6-35B-A3B) | [OTIS Mock AIME 2024-2025 (Epoch AI) · rank 64 of 153](https://models.searchit-agent.ai/en/leaderboards/epoch-aime/) | €0.13 | €0.45 | | [Qwen3.8-27B](https://models.searchit-agent.ai/en/models/qwen3-8-27b/) | Language models | 27.78 | from 20 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3.8-27B](https://huggingface.co/Qwen/Qwen3.8-27B) | [searchit Entity Extraction · rank 27 of 53](https://models.searchit-agent.ai/en/leaderboards/searchit-entity-extraction/) | €0.09 | €0.27 | | [Safety GPT OSS 20B](https://models.searchit-agent.ai/en/models/gpt-oss-safeguard-20b/) | Language models | 21 / 3.6 | from 16 GB | Apache-2.0 | [huggingface.co/openai/gpt-oss-safeguard-20b](https://huggingface.co/openai/gpt-oss-safeguard-20b) | – | €0.027 | €0.09 | | [SauerkrautLM-ColQwen3-8b-v0.1](https://models.searchit-agent.ai/en/models/sauerkrautlm-colqwen3-8b-v0-1/) | Embeddings | 8.14 | from 9 GB | Apache-2.0 | [huggingface.co/VAGOsolutions/SauerkrautLM-ColQwen3-8b-v0.1](https://huggingface.co/VAGOsolutions/SauerkrautLM-ColQwen3-8b-v0.1) | – | – | – | | [Seed-OSS-36B-Instruct](https://models.searchit-agent.ai/en/models/seed-oss-36b/) | Language models | 36.15 | from 24 GB | Apache-2.0 | [huggingface.co/ByteDance-Seed/Seed-OSS-36B-Instruct](https://huggingface.co/ByteDance-Seed/Seed-OSS-36B-Instruct) | [OTIS Mock AIME 2024-2025 (Epoch AI) · rank 90 of 153](https://models.searchit-agent.ai/en/leaderboards/epoch-aime/) | – | – | | [siglip-so400m-patch14-384](https://models.searchit-agent.ai/en/models/siglip-so400m-patch14-384/) | Embeddings | 0.88 | from 5 GB | Apache-2.0 | [huggingface.co/google/siglip-so400m-patch14-384](https://huggingface.co/google/siglip-so400m-patch14-384) | – | – | – | | [SNOWFLAKE ARCTIC-EMBED-M-V1.5](https://models.searchit-agent.ai/en/models/snowflake-arctic-embed-m-v1-5/) | Embeddings | 0.11 | from 5 GB | Apache-2.0 | [huggingface.co/Snowflake/snowflake-arctic-embed-m-v1.5](https://huggingface.co/Snowflake/snowflake-arctic-embed-m-v1.5) | [MTEB TRECCOVID · rank 6 of 37](https://models.searchit-agent.ai/en/leaderboards/mteb-treccovid/) | €0.022 | – | | [snowflake-arctic-embed-l](https://models.searchit-agent.ai/en/models/snowflake-arctic-embed-l/) | Embeddings | 0.34 | from 5 GB | Apache-2.0 | [huggingface.co/Snowflake/snowflake-arctic-embed-l](https://huggingface.co/Snowflake/snowflake-arctic-embed-l) | [MTEB SciFact · rank 6 of 28](https://models.searchit-agent.ai/en/leaderboards/mteb-scifact/) | – | – | | [snowflake-arctic-embed-l-v2.0](https://models.searchit-agent.ai/en/models/snowflake-arctic-embed-l-v2-0/) | Embeddings | 0.57 | from 5 GB | Apache-2.0 | [huggingface.co/Snowflake/snowflake-arctic-embed-l-v2.0](https://huggingface.co/Snowflake/snowflake-arctic-embed-l-v2.0) | [MTEB GermanQuAD-Retrieval · rank 2 of 26](https://models.searchit-agent.ai/en/leaderboards/mteb-germanquad-retrieval/) | – | – | | [snowflake-arctic-embed-m-long](https://models.searchit-agent.ai/en/models/snowflake-arctic-embed-m-long/) | Embeddings | 0.14 | from 5 GB | Apache-2.0 | [huggingface.co/Snowflake/snowflake-arctic-embed-m-long](https://huggingface.co/Snowflake/snowflake-arctic-embed-m-long) | [MTEB ArguAna · rank 11 of 38](https://models.searchit-agent.ai/en/leaderboards/mteb-arguana/) | – | – | | [snowflake-arctic-embed-m-v2.0](https://models.searchit-agent.ai/en/models/snowflake-arctic-embed-m-v2-0/) | Embeddings | 0.3 | from 5 GB | Apache-2.0 | [huggingface.co/Snowflake/snowflake-arctic-embed-m-v2.0](https://huggingface.co/Snowflake/snowflake-arctic-embed-m-v2.0) | [MTEB LegalQuAD · rank 10 of 44](https://models.searchit-agent.ai/en/leaderboards/mteb-legalquad/) | €0.036 | – | | [text2vec-base-chinese](https://models.searchit-agent.ai/en/models/text2vec-base-chinese/) | Embeddings | 0.1 | from 5 GB | Apache-2.0 | [huggingface.co/shibing624/text2vec-base-chinese](https://huggingface.co/shibing624/text2vec-base-chinese) | [MTEB LegalQuAD · rank 44 of 44](https://models.searchit-agent.ai/en/leaderboards/mteb-legalquad/) | €0.0045 | – | | [UI-TARS 1.5 7B](https://models.searchit-agent.ai/en/models/ui-tars-1-5-7b/) | Language models | 8.29 | from 9 GB | Apache-2.0 | [huggingface.co/ByteDance-Seed/UI-TARS-1.5-7B](https://huggingface.co/ByteDance-Seed/UI-TARS-1.5-7B) | – | €0.09 | €0.18 | | [Venice SD35](https://models.searchit-agent.ai/en/models/venice-sd35/) | Image generation | 8.15 | from 9 GB | Stability AI Community License | [huggingface.co/stabilityai/stable-diffusion-3.5-large](https://huggingface.co/stabilityai/stable-diffusion-3.5-large) | – | – | – | | [Venice Uncensored 1.2](https://models.searchit-agent.ai/en/models/venice-uncensored-1-2/) | Language models | 24.01 | from 18 GB | Apache-2.0 | [huggingface.co/dphn/Dolphin-Mistral-24B-Venice-Edition](https://huggingface.co/dphn/Dolphin-Mistral-24B-Venice-Edition) | – | €0.18 | €0.81 | | [Voxtral Mini 1.0](https://models.searchit-agent.ai/en/models/voxtral-mini-1-0/) | Language models | 4.68 | from 7 GB | Apache-2.0 | [huggingface.co/mistralai/Voxtral-Mini-3B-2507](https://huggingface.co/mistralai/Voxtral-Mini-3B-2507) | – | €0.018 | €0.018 | | [Voxtral Small 24B](https://models.searchit-agent.ai/en/models/voxtral-small-2507/) | Language models | 24.26 | from 18 GB | Apache-2.0 | [huggingface.co/mistralai/Voxtral-Small-24B-2507](https://huggingface.co/mistralai/Voxtral-Small-24B-2507) | – | €0.045 | €0.13 | | [Voxtral-Mini-3B-2507](https://models.searchit-agent.ai/en/models/voxtral-mini-3b-2507/) | Language models | 4 | from 7 GB | Apache-2.0 | [huggingface.co/mistralai/Voxtral-Mini-3B-2507](https://huggingface.co/mistralai/Voxtral-Mini-3B-2507) | – | – | – | | [VultronRetrieverPrime-Qwen3.5-8B](https://models.searchit-agent.ai/en/models/vultronretrieverprime-qwen3-5-8b/) | Embeddings | 8.39 | from 9 GB | Apache-2.0 | [huggingface.co/vultr/VultronRetrieverPrime-Qwen3.5-8B](https://huggingface.co/vultr/VultronRetrieverPrime-Qwen3.5-8B) | – | – | – | | [webAI-ColVec1.1-8b](https://models.searchit-agent.ai/en/models/webai-colvec1-1-8b/) | Embeddings | 8.39 | from 9 GB | eigene Lizenz - vor Einsatz pruefen | [huggingface.co/webAI-Official/webAI-ColVec1.1-8b](https://huggingface.co/webAI-Official/webAI-ColVec1.1-8b) | – | – | – | | [Whisper Large V3 Turbo](https://models.searchit-agent.ai/en/models/whisper-large-v3-turbo/) | Language models | 0.81 / 0.81 | from 5 GB | MIT | [huggingface.co/openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) | – | €9.21 | €9.21 | | [Whisper large-v3 New](https://models.searchit-agent.ai/en/models/whisper-large-v3/) | Language models | 1.54 / 1.55 | from 5 GB | Apache-2.0 | [huggingface.co/openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) | – | €14.61 | €14.61 | | [Z-Image Turbo](https://models.searchit-agent.ai/en/models/z-image-turbo/) | Image generation | 6.16 | from 8 GB | Apache-2.0 | [huggingface.co/Tongyi-MAI/Z-Image-Turbo](https://huggingface.co/Tongyi-MAI/Z-Image-Turbo) | – | – | – | _API price: cheapest offer worldwide in € per 1M tokens – to compare renting with self-hosting. Best benchmark: the model's best rank in the leaderboards. Source: providers' pricing pages, read and checked by searchit. As of 7 Nov 2026._ ## 48 GB – one RTX PRO 5000 _GPU memory (4-bit, derived) above 24 GB up to 48 GB · 13 models_ | Model | Type | Parameters (bn, total / active) | GPU memory (4-bit, derived) | Licence | Model files | Best benchmark | API price: Input | API price: Output | |---|---|---:|---:|---|---|---|---:|---:| | [Hunyuan Image 3.0](https://models.searchit-agent.ai/en/models/hunyuan-image-3-0/) | Image generation | 80 / 13 | from 48 GB | Tencent Hunyuan Community License (Image 3.0) | [huggingface.co/tencent/HunyuanImage-3.0](https://huggingface.co/tencent/HunyuanImage-3.0) | – | – | – | | [Hunyuan-A13B-Instruct](https://models.searchit-agent.ai/en/models/hunyuan-a13b-instruct/) | Language models | 80 / 13 | from 48 GB | Tencent Hunyuan Community License (A13B) | [huggingface.co/tencent/Hunyuan-A13B-Instruct](https://huggingface.co/tencent/Hunyuan-A13B-Instruct) | – | €0.13 | €0.51 | | [Llama 3 70B](https://models.searchit-agent.ai/en/models/llama-3-70b/) | Language models | 70.55 | from 43 GB | Llama 3 Community License | [huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) | [OTIS Mock AIME 2024-2025 (Epoch AI) · rank 137 of 153](https://models.searchit-agent.ai/en/leaderboards/epoch-aime/) | €2.37 | €3.13 | | [Llama 3.1 70B](https://models.searchit-agent.ai/en/models/llama-3-1-70b/) | Language models | 70.55 | from 43 GB | Llama 3.1 Community License | [huggingface.co/meta-llama/Llama-3.1-70B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct) | [MMLU-Pro (TIGER-Lab Leaderboard) · rank 27 of 42](https://models.searchit-agent.ai/en/leaderboards/tiger-mmlu-pro/) | €0.31 | €1.25 | | [Llama 3.3 70B](https://models.searchit-agent.ai/en/models/llama-3-3-70b/) | Language models | 70.6 | from 43 GB | Llama 3.3 Community License | [huggingface.co/meta-llama/Llama-3.3-70B-Instruct](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct) | [Vectara HHEM-2.3 · rank 4 of 82](https://models.searchit-agent.ai/en/leaderboards/hhem/) | €0.09 | €0.29 | | [Macaron V1 Tall](https://models.searchit-agent.ai/en/models/macaron-v1-tall/) | Language models | 50 | from 32 GB | MIT | [huggingface.co/mindlab-research/Macaron-V1-Tall](https://huggingface.co/mindlab-research/Macaron-V1-Tall) | – | €0.22 | €1.28 | | [Mixtral 8x7B Instruct](https://models.searchit-agent.ai/en/models/mixtral-8x7b/) | Language models | 46.7 / 13 | from 30 GB | Apache-2.0 | [huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) | [MMLU-Pro (TIGER-Lab Leaderboard) · rank 37 of 42](https://models.searchit-agent.ai/en/leaderboards/tiger-mmlu-pro/) | €0.40 | €0.63 | | [Qwen2.5-72B-Instruct](https://models.searchit-agent.ai/en/models/qwen2-5-72b-instruct/) | Language models | 72.7 | from 44 GB | Qwen License | [huggingface.co/Qwen/Qwen2.5-72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct) | [OTIS Mock AIME 2024-2025 (Epoch AI) · rank 123 of 153](https://models.searchit-agent.ai/en/leaderboards/epoch-aime/) | €0.32 | €0.36 | | [Qwen2.5-VL 72B Instruct](https://models.searchit-agent.ai/en/models/qwen2-5-vl-72b-instruct/) | Image models | 73.41 | from 45 GB | Qwen-Lizenz (nicht Apache) | [huggingface.co/Qwen/Qwen2.5-VL-72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-72B-Instruct) | – | €0.72 | €0.90 | | [Qwen3-Coder-Next (80B)](https://models.searchit-agent.ai/en/models/qwen3-coder-next-80b/) | Language models | 80 / 3 | from 48 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3-Coder-Next](https://huggingface.co/Qwen/Qwen3-Coder-Next) | – | €0.057 | €0.21 | | [Qwen3-Next-80B-Thinking](https://models.searchit-agent.ai/en/models/qwen3-next-80b-thinking/) | Language models | 80 / 3 | from 48 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3-Next-80B-A3B-Thinking](https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Thinking) | – | €0.13 | €1.07 | | [Skyfall 36B v2 (FP8)](https://models.searchit-agent.ai/en/models/skyfall-36b-v2-fp8/) | Language models | 36.91 | from 25 GB | – | [huggingface.co/TheDrummer/Skyfall-36B-v2](https://huggingface.co/TheDrummer/Skyfall-36B-v2) | – | €0.49 | €0.72 | | [SwissAI Apertus 1.5 70B](https://models.searchit-agent.ai/en/models/swissai-apertus-1-5-70b/) | Language models | 70 | from 43 GB | Apache-2.0 | [huggingface.co/swiss-ai/Apertus-v1.5-70B](https://huggingface.co/swiss-ai/Apertus-v1.5-70B) | – | €0.70 | €2.80 | _API price: cheapest offer worldwide in € per 1M tokens – to compare renting with self-hosting. Best benchmark: the model's best rank in the leaderboards. Source: providers' pricing pages, read and checked by searchit. As of 7 Nov 2026._ ## 96 GB – one RTX PRO 6000 _GPU memory (4-bit, derived) above 48 GB up to 96 GB · 20 models_ | Model | Type | Parameters (bn, total / active) | GPU memory (4-bit, derived) | Licence | Model files | Best benchmark | API price: Input | API price: Output | |---|---|---:|---:|---|---|---|---:|---:| | [@cf/nvidia/nemotron-3-120b-a12b](https://models.searchit-agent.ai/en/models/cf-nvidia-nemotron-3-120b-a12b/) | Language models | 123.61 / 12 | from 72 GB | NVIDIA Nemotron Open Model License | [huggingface.co/nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16](https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16) | – | €0.45 | €1.34 | | [Command R+ 04-2024](https://models.searchit-agent.ai/en/models/command-r-04-2024/) | Language models | 103.81 | from 62 GB | CC-BY-NC-4.0 | [huggingface.co/CohereLabs/c4ai-command-r-plus](https://huggingface.co/CohereLabs/c4ai-command-r-plus) | – | €2.69 | €13.43 | | [Devstral 2 123B](https://models.searchit-agent.ai/en/models/devstral-2-123b/) | Language models | 125.03 | from 73 GB | Modified MIT | [huggingface.co/mistralai/Devstral-2-123B-Instruct-2512](https://huggingface.co/mistralai/Devstral-2-123B-Instruct-2512) | – | €0.43 | €2.15 | | [GLM 4.5 Air](https://models.searchit-agent.ai/en/models/glm-4-5-air/) | Language models | 106 / 12 | from 63 GB | MIT | [huggingface.co/zai-org/GLM-4.5-Air](https://huggingface.co/zai-org/GLM-4.5-Air) | – | €0.12 | €0.76 | | [GLM 4.5V](https://models.searchit-agent.ai/en/models/glm-4-5v/) | Image models | 106 / 12 | from 63 GB | MIT | [huggingface.co/zai-org/GLM-4.5V](https://huggingface.co/zai-org/GLM-4.5V) | – | €0.54 | €1.61 | | [GLM 4.6V](https://models.searchit-agent.ai/en/models/glm-4-6v/) | Image models | 106 | from 63 GB | MIT | [huggingface.co/zai-org/GLM-4.6V](https://huggingface.co/zai-org/GLM-4.6V) | – | €0.27 | €0.81 | | [GPT OSS Safeguard 120B](https://models.searchit-agent.ai/en/models/gpt-oss-safeguard-120b/) | Language models | 117 / 5.1 | from 69 GB | Apache-2.0 | [huggingface.co/openai/gpt-oss-safeguard-120b](https://huggingface.co/openai/gpt-oss-safeguard-120b) | – | €0.063 | €0.27 | | [gpt-oss-120b](https://models.searchit-agent.ai/en/models/gpt-oss-120b/) | Language models | 117 / 5.1 | from 69 GB | Apache-2.0 | [huggingface.co/openai/gpt-oss-120b](https://huggingface.co/openai/gpt-oss-120b) | [MMLU-Pro (TIGER-Lab Leaderboard) · rank 10 of 42](https://models.searchit-agent.ai/en/leaderboards/tiger-mmlu-pro/) | €0.026 | €0.12 | | [Ling 3.0 Flash](https://models.searchit-agent.ai/en/models/ling-3-0-flash/) | Language models | 124 / 5.1 | from 73 GB | MIT | [huggingface.co/inclusionAI/Ling-3.0-flash](https://huggingface.co/inclusionAI/Ling-3.0-flash) | – | €0.054 | €0.16 | | [Ling 3.0 Flash Fin](https://models.searchit-agent.ai/en/models/ling-3-0-flash-fin/) | Language models | 124 / 5.1 | from 73 GB | MIT | [huggingface.co/inclusionAI/Ling-3.0-flash-Fin](https://huggingface.co/inclusionAI/Ling-3.0-flash-Fin) | – | €0.067 | €0.20 | | [Ling 3.0 Flash VL](https://models.searchit-agent.ai/en/models/ling-3-0-flash-vl/) | Language models | 124 / 5.5 | from 73 GB | MIT | [huggingface.co/inclusionAI/Ling-3.0-flash-VL](https://huggingface.co/inclusionAI/Ling-3.0-flash-VL) | – | €0.067 | €0.20 | | [Llama 3.2 90B](https://models.searchit-agent.ai/en/models/llama-3-2-90b/) | Language models | 88.59 | from 53 GB | Llama 3.2 Community License | [huggingface.co/meta-llama/Llama-3.2-90B-Vision-Instruct](https://huggingface.co/meta-llama/Llama-3.2-90B-Vision-Instruct) | [OTIS Mock AIME 2024-2025 (Epoch AI) · rank 141 of 153](https://models.searchit-agent.ai/en/leaderboards/epoch-aime/) | €0.64 | €0.64 | | [Llama 4 Scout 17B-16E](https://models.searchit-agent.ai/en/models/llama-4-scout/) | Image models | 108.64 / 17 | from 64 GB | Llama 4 Community License | [huggingface.co/meta-llama/Llama-4-Scout-17B-16E-Instruct](https://huggingface.co/meta-llama/Llama-4-Scout-17B-16E-Instruct) | [Vectara HHEM-2.3 · rank 29 of 82](https://models.searchit-agent.ai/en/leaderboards/hhem/) | €0.09 | €0.27 | | [Mistral Large 2.1](https://models.searchit-agent.ai/en/models/mistral-large-2-1/) | Language models | 123 | from 72 GB | proprietär | [huggingface.co/mistralai/Mistral-Large-Instruct-2411](https://huggingface.co/mistralai/Mistral-Large-Instruct-2411) | [Vectara HHEM-2.3 · rank 6 of 82](https://models.searchit-agent.ai/en/leaderboards/hhem/) | – | – | | [Mistral Medium 3.5](https://models.searchit-agent.ai/en/models/mistral-medium-3-5/) | Language models | 127.7 | from 75 GB | Modified MIT (Umsatzgrenze 20 Mio. USD/Monat) | [huggingface.co/mistralai/Mistral-Medium-3.5-128B](https://huggingface.co/mistralai/Mistral-Medium-3.5-128B) | [searchit Entity Extraction · rank 9 of 53](https://models.searchit-agent.ai/en/leaderboards/searchit-entity-extraction/) | €1.50 | €6.00 | | [Mistral Small](https://models.searchit-agent.ai/en/models/mistral-small/) | Language models | 119.4 / 6.5 | from 70 GB | Apache-2.0 | [huggingface.co/mistralai/Mistral-Small-4-119B-2603](https://huggingface.co/mistralai/Mistral-Small-4-119B-2603) | – | €0.90 | €2.69 | | [NVIDIA Nemotron 3 Super 120B A12B](https://models.searchit-agent.ai/en/models/nvidia-nemotron-3-super-120b-a12b/) | Language models | 120 / 12 | from 70 GB | NVIDIA Nemotron Open Model License | [huggingface.co/nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16](https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16) | [searchit Entity Extraction · rank 38 of 53](https://models.searchit-agent.ai/en/leaderboards/searchit-entity-extraction/) | €0.067 | €0.29 | | [Pixtral Large 25.02](https://models.searchit-agent.ai/en/models/pixtral-large-25-02/) | Language models | 124 | from 73 GB | Mistral Research License (MRL) | [huggingface.co/mistralai/Pixtral-Large-Instruct-2411](https://huggingface.co/mistralai/Pixtral-Large-Instruct-2411) | – | €1.79 | €5.37 | | [Qwen 3 Next 80b](https://models.searchit-agent.ai/en/models/qwen3-next-80b-a3b-instruct/) | Language models | 81.33 / 3 | from 49 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3-Next-80B-A3B-Instruct](https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Instruct) | [searchit Entity Extraction · rank 24 of 53](https://models.searchit-agent.ai/en/leaderboards/searchit-entity-extraction/) | €0.063 | €0.54 | | [Qwen3.5-122B-A10B](https://models.searchit-agent.ai/en/models/qwen3-5-122b-a10b/) | Image models | 125.09 / 10 | from 73 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3.5-122B-A10B](https://huggingface.co/Qwen/Qwen3.5-122B-A10B) | [Vectara HHEM-2.3 · rank 54 of 82](https://models.searchit-agent.ai/en/leaderboards/hhem/) | €0.22 | €1.57 | _API price: cheapest offer worldwide in € per 1M tokens – to compare renting with self-hosting. Best benchmark: the model's best rank in the leaderboards. Source: providers' pricing pages, read and checked by searchit. As of 7 Nov 2026._ ## 192 GB – two RTX PRO 6000 _GPU memory (4-bit, derived) above 96 GB up to 192 GB · 18 models_ | Model | Type | Parameters (bn, total / active) | GPU memory (4-bit, derived) | Licence | Model files | Best benchmark | API price: Input | API price: Output | |---|---|---:|---:|---|---|---|---:|---:| | [DeepSeek V4 Flash](https://models.searchit-agent.ai/en/models/deepseek-v4-flash/) | Language models | 290.94 / 13 | from 165 GB | MIT | [huggingface.co/deepseek-ai/DeepSeek-V4-Flash](https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash) | [searchit Entity Extraction · rank 21 of 53](https://models.searchit-agent.ai/en/leaderboards/searchit-entity-extraction/) | €0.081 | €0.16 | | [DeepSeek V4 Flash 0423](https://models.searchit-agent.ai/en/models/deepseek-v4-flash-0423/) | Language models | 290.94 / 13 | from 165 GB | MIT | [huggingface.co/deepseek-ai/DeepSeek-V4-Flash](https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash) | – | €0.12 | €0.25 | | [DeepSeek V4 Flash 0731](https://models.searchit-agent.ai/en/models/deepseek-v4-flash-0731/) | Language models | 304.18 | from 172 GB | MIT | [huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731](https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731) | [OTIS Mock AIME 2024-2025 (Epoch AI) · rank 40 of 153](https://models.searchit-agent.ai/en/leaderboards/epoch-aime/) | €0.054 | €0.16 | | [deepseek-v4-flash-vision-exp](https://models.searchit-agent.ai/en/models/deepseek-v4-flash-vision-exp/) | Language models | 304.65 | from 172 GB | MIT | [huggingface.co/deepseek-ai/DeepSeek-V4-Flash-Vision-Exp](https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-Vision-Exp) | – | €0.39 | €1.18 | | [GLM 5.3 Flash](https://models.searchit-agent.ai/en/models/glm-5-3-flash/) | Language models | 320 / 18 | from 180 GB | MIT | [huggingface.co/zai-org/GLM-5.3-Flash](https://huggingface.co/zai-org/GLM-5.3-Flash) | [OTIS Mock AIME 2024-2025 (Epoch AI) · rank 43 of 153](https://models.searchit-agent.ai/en/leaderboards/epoch-aime/) | €0.09 | €0.31 | | [Hy3](https://models.searchit-agent.ai/en/models/hy3/) | Language models | 295 / 21 | from 167 GB | Apache-2.0 | [huggingface.co/tencent/Hy3](https://huggingface.co/tencent/Hy3) | – | €0.12 | €0.47 | | [MiMo v2.5](https://models.searchit-agent.ai/en/models/mimo-v2-5/) | Language models | 310 / 15 | from 175 GB | MIT | [huggingface.co/XiaomiMiMo/MiMo-V2.5](https://huggingface.co/XiaomiMiMo/MiMo-V2.5) | [searchit Entity Extraction · rank 11 of 53](https://models.searchit-agent.ai/en/leaderboards/searchit-entity-extraction/) | €0.13 | €0.25 | | [MiMo V2.6 Flash](https://models.searchit-agent.ai/en/models/mimo-v2-6-flash/) | Language models | 309 / 15 | from 174 GB | MIT | [huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL](https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL) | – | €0.13 | €0.26 | | [Minimax M2](https://models.searchit-agent.ai/en/models/minimax-m2/) | Language models | 230 / 10 | from 131 GB | Modified-MIT | [huggingface.co/MiniMaxAI/MiniMax-M2](https://huggingface.co/MiniMaxAI/MiniMax-M2) | – | €0.13 | €0.54 | | [Minimax M2.1](https://models.searchit-agent.ai/en/models/minimax-m2-1/) | Language models | 229 / 10 | from 130 GB | Modified-MIT | [huggingface.co/MiniMaxAI/MiniMax-M2.1](https://huggingface.co/MiniMaxAI/MiniMax-M2.1) | [Vectara HHEM-2.3 · rank 56 of 82](https://models.searchit-agent.ai/en/leaderboards/hhem/) | €0.13 | €0.54 | | [MiniMax M2.5](https://models.searchit-agent.ai/en/models/minimax-m2-5/) | Language models | 228.7 / 10 | from 130 GB | MiniMax Model License | [huggingface.co/MiniMaxAI/MiniMax-M2.5](https://huggingface.co/MiniMaxAI/MiniMax-M2.5) | [MMLU-Pro (TIGER-Lab Leaderboard) · rank 11 of 42](https://models.searchit-agent.ai/en/leaderboards/tiger-mmlu-pro/) | €0.13 | €0.54 | | [MiniMax M2.7](https://models.searchit-agent.ai/en/models/minimax-m2-7/) | Language models | 228.69 / 10 | from 130 GB | MiniMax Non-Commercial License | [huggingface.co/MiniMaxAI/MiniMax-M2.7](https://huggingface.co/MiniMaxAI/MiniMax-M2.7) | [Vectara HHEM-2.3 · rank 67 of 82](https://models.searchit-agent.ai/en/leaderboards/hhem/) | €0.27 | €1.07 | | [Qwen 3 235B A22B FP8](https://models.searchit-agent.ai/en/models/qwen-3-235b-a22b-fp8/) | Language models | 235 / 22 | from 134 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3-235B-A22B-FP8](https://huggingface.co/Qwen/Qwen3-235B-A22B-FP8) | – | €0.18 | €0.54 | | [Qwen 3 235B A22B Thinking 2507](https://models.searchit-agent.ai/en/models/qwen3-235b-a22b-thinking-2507/) | Language models | 235.09 / 22 | from 134 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3-235B-A22B-Thinking-2507](https://huggingface.co/Qwen/Qwen3-235B-A22B-Thinking-2507) | [OTIS Mock AIME 2024-2025 (Epoch AI) · rank 61 of 153](https://models.searchit-agent.ai/en/leaderboards/epoch-aime/) | €0.40 | €3.13 | | [Qwen3 235B A22B Instruct 2507](https://models.searchit-agent.ai/en/models/qwen3-235b-a22b-instruct-2507/) | Language models | 235.09 / 22 | from 134 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3-235B-A22B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-235B-A22B-Instruct-2507) | [searchit Entity Extraction · rank 17 of 53](https://models.searchit-agent.ai/en/leaderboards/searchit-entity-extraction/) | €0.099 | €0.39 | | [Qwen3-VL 235B-A22B Instruct](https://models.searchit-agent.ai/en/models/qwen3-vl-235b-a22b-instruct/) | Image models | 235.67 / 22 | from 134 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3-VL-235B-A22B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-235B-A22B-Instruct) | – | €0.18 | €0.79 | | [Qwen3.8-Flash](https://models.searchit-agent.ai/en/models/qwen3-8-flash/) | Language models | 180 / 6 | from 103 GB | proprietär | [huggingface.co/Qwen/Qwen3.8-Flash-Next](https://huggingface.co/Qwen/Qwen3.8-Flash-Next) | [searchit Entity Extraction · rank 36 of 53](https://models.searchit-agent.ai/en/leaderboards/searchit-entity-extraction/) | €0.13 | €0.44 | | [Step 3.7 Flash](https://models.searchit-agent.ai/en/models/step-3-7-flash/) | Language models | 198 / 11 | from 113 GB | Apache-2.0 | [huggingface.co/stepfun-ai/Step-3.7-Flash](https://huggingface.co/stepfun-ai/Step-3.7-Flash) | – | €0.18 | €1.03 | _API price: cheapest offer worldwide in € per 1M tokens – to compare renting with self-hosting. Best benchmark: the model's best rank in the leaderboards. Source: providers' pricing pages, read and checked by searchit. As of 7 Nov 2026._ ## 384 GB – four RTX PRO 6000 _GPU memory (4-bit, derived) above 192 GB up to 384 GB · 19 models_ | Model | Type | Parameters (bn, total / active) | GPU memory (4-bit, derived) | Licence | Model files | Best benchmark | API price: Input | API price: Output | |---|---|---:|---:|---|---|---|---:|---:| | [DeepSeek R1 Turbo](https://models.searchit-agent.ai/en/models/deepseek-r1-turbo/) | Language models | 684.49 / 37 | from 381 GB | MIT | [huggingface.co/deepseek-ai/DeepSeek-R1](https://huggingface.co/deepseek-ai/DeepSeek-R1) | – | – | – | | [DeepSeek V3.1](https://models.searchit-agent.ai/en/models/deepseek-v3-1/) | Language models | 671 / 37 | from 374 GB | MIT | [huggingface.co/deepseek-ai/DeepSeek-V3.1](https://huggingface.co/deepseek-ai/DeepSeek-V3.1) | [Vectara HHEM-2.3 · rank 14 of 82](https://models.searchit-agent.ai/en/leaderboards/hhem/) | €0.22 | €0.85 | | [DeepSeek-R1 (0528)](https://models.searchit-agent.ai/en/models/deepseek-r1-0528/) | Language models | 684.53 / 37 | from 381 GB | MIT | [huggingface.co/deepseek-ai/DeepSeek-R1-0528](https://huggingface.co/deepseek-ai/DeepSeek-R1-0528) | [OTIS Mock AIME 2024-2025 (Epoch AI) · rank 93 of 153](https://models.searchit-agent.ai/en/leaderboards/epoch-aime/) | €0.45 | €1.93 | | [DeepSeek-V3](https://models.searchit-agent.ai/en/models/deepseek-v3/) | Language models | 684.53 / 37 | from 381 GB | DeepSeek Model License | [huggingface.co/deepseek-ai/DeepSeek-V3](https://huggingface.co/deepseek-ai/DeepSeek-V3) | [Vectara HHEM-2.3 · rank 20 of 82](https://models.searchit-agent.ai/en/leaderboards/hhem/) | €0.29 | €0.80 | | [deepseek-v3.2](https://models.searchit-agent.ai/en/models/deepseek-v3-2/) | Language models | 685.36 | from 381 GB | MIT | [huggingface.co/deepseek-ai/DeepSeek-V3.2](https://huggingface.co/deepseek-ai/DeepSeek-V3.2) | [Vectara HHEM-2.3 · rank 22 of 82](https://models.searchit-agent.ai/en/leaderboards/hhem/) | €0.23 | €0.34 | | [GLM 4.6](https://models.searchit-agent.ai/en/models/glm-4-6/) | Language models | 357 | from 201 GB | MIT | [huggingface.co/zai-org/GLM-4.6](https://huggingface.co/zai-org/GLM-4.6) | [Berkeley Function-Calling Leaderboard V4 · rank 3 of 42](https://models.searchit-agent.ai/en/leaderboards/bfcl-v4/) | €0.39 | €1.57 | | [GLM 4.7](https://models.searchit-agent.ai/en/models/glm-4-7/) | Language models | 358 | from 201 GB | MIT | [huggingface.co/zai-org/GLM-4.7](https://huggingface.co/zai-org/GLM-4.7) | [OTIS Mock AIME 2024-2025 (Epoch AI) · rank 73 of 153](https://models.searchit-agent.ai/en/leaderboards/epoch-aime/) | €0.27 | €0.99 | | [GLM-4.5](https://models.searchit-agent.ai/en/models/glm-4-5/) | Language models | 355 / 32 | from 200 GB | MIT | [huggingface.co/zai-org/GLM-4.5](https://huggingface.co/zai-org/GLM-4.5) | – | €0.54 | €1.97 | | [H Hermes 4 405B](https://models.searchit-agent.ai/en/models/hermes-4-405b/) | Language models | 405.85 | from 228 GB | – | [huggingface.co/NousResearch/Hermes-4-405B](https://huggingface.co/NousResearch/Hermes-4-405B) | – | €0.89 | €2.68 | | [Llama 4 Maverick](https://models.searchit-agent.ai/en/models/llama-4-maverick-17b/) | Language models | 401.58 / 17 | from 225 GB | Llama 4 Community License | [huggingface.co/meta-llama/Llama-4-Maverick-17B-128E-Instruct](https://huggingface.co/meta-llama/Llama-4-Maverick-17B-128E-Instruct) | [Vectara HHEM-2.3 · rank 31 of 82](https://models.searchit-agent.ai/en/leaderboards/hhem/) | €0.16 | €0.52 | | [MiniMax M1](https://models.searchit-agent.ai/en/models/minimax-m1/) | Language models | 456 / 45.9 | from 255 GB | Apache-2.0 | [huggingface.co/MiniMaxAI/MiniMax-M1-80k](https://huggingface.co/MiniMaxAI/MiniMax-M1-80k) | – | €0.49 | €1.97 | | [MiniMax M3](https://models.searchit-agent.ai/en/models/minimax-m3/) | Language models | 427.04 / 23 | from 239 GB | eigene Lizenz | [huggingface.co/MiniMaxAI/Minimax-M3](https://huggingface.co/MiniMaxAI/Minimax-M3) | [OTIS Mock AIME 2024-2025 (Epoch AI) · rank 84 of 153](https://models.searchit-agent.ai/en/leaderboards/epoch-aime/) | €0.27 | €1.07 | | [Mistral Large](https://models.searchit-agent.ai/en/models/mistral-large/) | Language models | 675 / 41 | from 376 GB | Apache-2.0 | [huggingface.co/mistralai/Mistral-Large-3-675B-Instruct-2512](https://huggingface.co/mistralai/Mistral-Large-3-675B-Instruct-2512) | – | €0.45 | €1.34 | | [Mistral Large 3](https://models.searchit-agent.ai/en/models/mistral-large-3/) | Language models | 675 / 41 | from 376 GB | Apache-2.0 | [huggingface.co/mistralai/Mistral-Large-3-675B-Instruct-2512](https://huggingface.co/mistralai/Mistral-Large-3-675B-Instruct-2512) | [Vectara HHEM-2.3 · rank 72 of 82](https://models.searchit-agent.ai/en/leaderboards/hhem/) | €0.22 | €0.67 | | [NVIDIA Nemotron 3 Ultra](https://models.searchit-agent.ai/en/models/nvidia-nemotron-3-ultra-550b-a55b/) | Language models | 550 / 55 | from 307 GB | OpenMDW-1.1 | [huggingface.co/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16](https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16) | [OTIS Mock AIME 2024-2025 (Epoch AI) · rank 61 of 153](https://models.searchit-agent.ai/en/leaderboards/epoch-aime/) | €0.45 | €1.97 | | [Qwen 3 Coder 480B Turbo](https://models.searchit-agent.ai/en/models/qwen3-coder-480b-a35b-instruct/) | Language models | 480 / 35 | from 268 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct](https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct) | – | €0.099 | €0.81 | | [Qwen3.5-397B-A17B](https://models.searchit-agent.ai/en/models/qwen3-5-397b-a17b/) | Language models | 403.4 / 17 | from 226 GB | Apache-2.0 | [huggingface.co/Qwen/Qwen3.5-397B-A17B](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) | [MMLU-Pro (TIGER-Lab Leaderboard) · rank 2 of 42](https://models.searchit-agent.ai/en/leaderboards/tiger-mmlu-pro/) | €0.40 | €2.69 | | [R1](https://models.searchit-agent.ai/en/models/r1/) | Language models | 671 / 37 | from 374 GB | MIT | [huggingface.co/deepseek-ai/DeepSeek-R1](https://huggingface.co/deepseek-ai/DeepSeek-R1) | – | €1.21 | €4.84 | | [Trinity Large (Thinking)](https://models.searchit-agent.ai/en/models/trinity-large-thinking/) | Language models | 398 / 13 | from 223 GB | OpenMDW-1.1 | [huggingface.co/arcee-ai/Trinity-Large-Thinking](https://huggingface.co/arcee-ai/Trinity-Large-Thinking) | – | €0.20 | €0.76 | _API price: cheapest offer worldwide in € per 1M tokens – to compare renting with self-hosting. Best benchmark: the model's best rank in the leaderboards. Source: providers' pricing pages, read and checked by searchit. As of 7 Nov 2026._ ## 768 GB – eight RTX PRO 6000 _GPU memory (4-bit, derived) above 384 GB up to 768 GB · 14 models_ | Model | Type | Parameters (bn, total / active) | GPU memory (4-bit, derived) | Licence | Model files | Best benchmark | API price: Input | API price: Output | |---|---|---:|---:|---|---|---|---:|---:| | [GLM 5.1](https://models.searchit-agent.ai/en/models/glm-5-1/) | Language models | 754 | from 419 GB | – | [huggingface.co/zai-org/GLM-5.1](https://huggingface.co/zai-org/GLM-5.1) | [OTIS Mock AIME 2024-2025 (Epoch AI) · rank 45 of 153](https://models.searchit-agent.ai/en/leaderboards/epoch-aime/) | €0.81 | €2.60 | | [glm-5.2](https://models.searchit-agent.ai/en/models/glm-5-2/) | Language models | 753 | from 419 GB | MIT | [huggingface.co/zai-org/GLM-5.2](https://huggingface.co/zai-org/GLM-5.2) | [SWE-bench Verified (Epoch AI) · rank 3 of 33](https://models.searchit-agent.ai/en/leaderboards/epoch-swe/) | €0.15 | €0.48 | | [glm-5.3](https://models.searchit-agent.ai/en/models/glm-5-3/) | Language models | 753.3 | from 419 GB | GLM-5.3 License | [huggingface.co/zai-org/GLM-5.3](https://huggingface.co/zai-org/GLM-5.3) | [FrontierMath Tiers 1-3 v2 (Epoch AI) · rank 30 of 91](https://models.searchit-agent.ai/en/leaderboards/epoch-frontiermath/) | €0.18 | €0.57 | | [Hy4 Preview](https://models.searchit-agent.ai/en/models/hy4-preview/) | Language models | 770 / 49 | from 428 GB | Apache-2.0 | [huggingface.co/tencent/Hy4-preview](https://huggingface.co/tencent/Hy4-preview) | – | €0.75 | €2.24 | | [Inkling](https://models.searchit-agent.ai/en/models/inkling/) | Language models | 975 / 41 | from 541 GB | Apache-2.0 | [huggingface.co/thinkingmachines/Inkling](https://huggingface.co/thinkingmachines/Inkling) | – | – | – | | [Kimi K2 Instruct](https://models.searchit-agent.ai/en/models/kimi-k2-instruct/) | Language models | 1,000 / 32 | from 554 GB | Modified MIT | [huggingface.co/moonshotai/Kimi-K2-Instruct](https://huggingface.co/moonshotai/Kimi-K2-Instruct) | [Berkeley Function-Calling Leaderboard V4 · rank 8 of 42](https://models.searchit-agent.ai/en/leaderboards/bfcl-v4/) | €0.51 | €2.06 | | [Kimi K2 Instruct 0905](https://models.searchit-agent.ai/en/models/kimi-k2-instruct-0905/) | Language models | 1,000 / 32 | from 554 GB | Modified MIT | [huggingface.co/moonshotai/Kimi-K2-Instruct-0905](https://huggingface.co/moonshotai/Kimi-K2-Instruct-0905) | [Vectara HHEM-2.3 · rank 76 of 82](https://models.searchit-agent.ai/en/leaderboards/hhem/) | €0.51 | €2.06 | | [Kimi K2 Thinking](https://models.searchit-agent.ai/en/models/kimi-k2-thinking/) | Language models | 1,000 / 32 | from 554 GB | Modified MIT | [huggingface.co/moonshotai/Kimi-K2-Thinking](https://huggingface.co/moonshotai/Kimi-K2-Thinking) | – | €0.27 | €1.12 | | [Kimi K2.5 (Retiring)](https://models.searchit-agent.ai/en/models/kimi-k2-5/) | Language models | 1,000 / 32 | from 554 GB | Modified MIT | [huggingface.co/moonshotai/Kimi-K2.5](https://huggingface.co/moonshotai/Kimi-K2.5) | [searchit Entity Extraction · rank 8 of 53](https://models.searchit-agent.ai/en/leaderboards/searchit-entity-extraction/) | €0.27 | €1.34 | | [Kimi K2.6](https://models.searchit-agent.ai/en/models/kimi-k2-6/) | Language models | 1,026.88 / 32 | from 569 GB | eigene Lizenz | [huggingface.co/moonshotai/Kimi-K2.6](https://huggingface.co/moonshotai/Kimi-K2.6) | [searchit Entity Extraction · rank 10 of 53](https://models.searchit-agent.ai/en/leaderboards/searchit-entity-extraction/) | €0.35 | €1.61 | | [Kimi K2.7 Code](https://models.searchit-agent.ai/en/models/kimi-k2-7-code/) | Language models | 1,000 / 32 | from 554 GB | – | [huggingface.co/moonshotai/Kimi-K2.7-Code](https://huggingface.co/moonshotai/Kimi-K2.7-Code) | [OTIS Mock AIME 2024-2025 (Epoch AI) · rank 33 of 153](https://models.searchit-agent.ai/en/leaderboards/epoch-aime/) | €0.59 | €2.96 | | [Macaron V1 Venti](https://models.searchit-agent.ai/en/models/macaron-v1-venti/) | Language models | 748 | from 416 GB | MIT | [huggingface.co/mindlab-research/Macaron-V1-Venti](https://huggingface.co/mindlab-research/Macaron-V1-Venti) | – | €0.74 | €2.22 | | [MiMo V2.6 Pro](https://models.searchit-agent.ai/en/models/mimo-v2-6-pro/) | Language models | 1,020 / 42 | from 565 GB | MIT | [huggingface.co/XiaomiMiMo/MiMo-V2.6-Pro-RL](https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Pro-RL) | – | €0.78 | €1.56 | | [Mistral Large 4](https://models.searchit-agent.ai/en/models/mistral-large-4/) | Language models | 1,050 / 52 | from 582 GB | – | – | [searchit Entity Extraction · rank 3 of 53](https://models.searchit-agent.ai/en/leaderboards/searchit-entity-extraction/) | €0.50 | €1.75 | _API price: cheapest offer worldwide in € per 1M tokens – to compare renting with self-hosting. Best benchmark: the model's best rank in the leaderboards. Source: providers' pricing pages, read and checked by searchit. As of 7 Nov 2026._ ## Data centre – more than eight cards _GPU memory (4-bit, derived) above 768 GB · 5 models_ | Model | Type | Parameters (bn, total / active) | GPU memory (4-bit, derived) | Licence | Model files | Best benchmark | API price: Input | API price: Output | |---|---|---:|---:|---|---|---|---:|---:| | [DeepSeek V4 Pro](https://models.searchit-agent.ai/en/models/deepseek-v4-pro/) | Language models | 1,598.84 / 49 | from 884 GB | MIT | [huggingface.co/deepseek-ai/DeepSeek-V4-Pro](https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro) | [searchit Entity Extraction · rank 6 of 53](https://models.searchit-agent.ai/en/leaderboards/searchit-entity-extraction/) | €0.90 | €1.79 | | [DeepSeek V4 Pro 0813](https://models.searchit-agent.ai/en/models/deepseek-v4-pro-0813/) | Language models | 1,650.5 / 49 | from 912 GB | – | [huggingface.co/deepseek-ai/DeepSeek-V4-Pro-0813](https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro-0813) | [OTIS Mock AIME 2024-2025 (Epoch AI) · rank 22 of 153](https://models.searchit-agent.ai/en/leaderboards/epoch-aime/) | €1.16 | €2.33 | | [Kimi K3](https://models.searchit-agent.ai/en/models/kimi-k3/) | Language models | 2,779.93 / 104 | from 1,533 GB | eigene Lizenz | [huggingface.co/moonshotai/Kimi-K3](https://huggingface.co/moonshotai/Kimi-K3) | [searchit Entity Extraction · rank 7 of 53](https://models.searchit-agent.ai/en/leaderboards/searchit-entity-extraction/) | €1.66 | €8.51 | | [Qwen 3.8 2.4T](https://models.searchit-agent.ai/en/models/qwen3-8-2-4t/) | Language models | 2,400 / 95 | from 1,324 GB | Qwen3.8-Max License | [huggingface.co/Qwen/Qwen3.8-2.4T-A95B](https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B) | – | €2.24 | €6.72 | | [Qwen3.8-Max](https://models.searchit-agent.ai/en/models/qwen3-8-max/) | Language models | 2,446.18 / 95 | from 1,350 GB | Qwen3.8-Max License | [huggingface.co/Qwen/Qwen3.8-2.4T-A95B](https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B) | [OTIS Mock AIME 2024-2025 (Epoch AI) · rank 13 of 153](https://models.searchit-agent.ai/en/leaderboards/epoch-aime/) | €1.48 | €4.43 | _API price: cheapest offer worldwide in € per 1M tokens – to compare renting with self-hosting. Best benchmark: the model's best rank in the leaderboards. Source: providers' pricing pages, read and checked by searchit. As of 7 Nov 2026._ _23 further models with open weights have no GPU memory figure; they are in the model list._ --- Prices as of 7 Nov 2026. Providers' list prices, without guarantee.