Qwen3-14B
Qwen3-14B by Alibaba Cloud: 1 offers. From €0.11 per 1M input tokens. No offer with EU processing is listed.
Calculate costs for this modelCompare offersView price history
Profile
| Profile | |
|---|---|
| Developer | Alibaba Cloud |
| Type | Language models |
| Origin | CN |
| Input types | text |
| Context (tokens) | 131,072 |
| Max. output (tokens) | 8,192 |
| Reasoning | mit |
| Parameters (bn) | 14.77 |
| Open weights | ✓ yes |
| Licence | Apache-2.0 |
| VRAM at 4-bit (GB) | 13 (RTX PRO 4000) |
| Released | – |
Offers with processing in the EU (0)
No offers in this group.
Offers outside the EU (1)
| Provider | Country | Variant | Input | Output | Source | As of |
|---|---|---|---|---|---|---|
| DeepInfra | US | standard | €0.11 | €0.21 | deepinfra.com | 14 Oct 2026 |
€ per 1M tokens. Source: providers' pricing pages, read and checked by searchit. As of 14 Oct 2026.
AI Act
Whether the developer has signed the Code of Practice for general-purpose AI models: unknown. What this means is explained under “EU and AI Act”. EU processing and AI Act
Benchmarks
| Benchmarks | |
|---|---|
| GPQA Diamond (Artificial Analysis) | 60.4 |
| Humanity's Last Exam (Artificial Analysis) | 4.5 |
| Berkeley Function-Calling Leaderboard V4 | 41 |
| OTIS Mock AIME 2024-2025 (Epoch AI) | 66.39 |
| Vectara HHEM-2.3 | 5.4 |
| Vectara HHEM-2.3 – antwortrate | 99.9 |
| Vectara HHEM-2.3 – halluzination | 5.4 |
| LLMStructBench: Benchmarking Large Language Model Structured Data Extraction (arXiv:2602.14743) | 0.69 |
| LLMStructBench: Benchmarking Large Language Model Structured Data Extraction (arXiv:2602.14743) – doc micro | 0.44 |
| LLMStructBench: Benchmarking Large Language Model Structured Data Extraction (arXiv:2602.14743) – f1 micro | 0.95 |
| LLMStructBench: Benchmarking Large Language Model Structured Data Extraction (arXiv:2602.14743) – score | 0.69 |