Qwen3-32B
Qwen3-32B by Alibaba Cloud: 6 offers. From €0.072 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) | 16,384 |
| Reasoning | ohne |
| Parameters (bn) | 32.8 |
| Open weights | ✓ yes |
| Licence | Apache-2.0 |
| VRAM at 4-bit (GB) | 23 (RTX PRO 4000) |
| Released | – |
Offers with processing in the EU (1)
| Provider | Country | Variant | Input | Output | Source | As of |
|---|---|---|---|---|---|---|
| cortecs | AT | standard | €0.16 | €0.63 | api.cortecs.ai | 14 Oct 2026 |
€ per 1M tokens. Source: providers' pricing pages, read and checked by searchit. As of 14 Oct 2026.
Offers outside the EU (5)
| Provider | Country | Variant | Input | Output | Source | As of |
|---|---|---|---|---|---|---|
| DeepInfra | US | standard | €0.072 | €0.25 | deepinfra.com | 14 Oct 2026 |
| AWS Bedrock | US | flex | €0.067 | €0.27 | pricing.us-east-1.amazonaws.com | 14 Oct 2026 |
| Chutes | – | standard | €0.093 | €0.37 | llm.chutes.ai | 14 Oct 2026 |
| AWS Bedrock | US | standard | €0.13 | €0.54 | pricing.us-east-1.amazonaws.com | 14 Oct 2026 |
| AWS Bedrock | US | priority | €0.23 | €0.94 | pricing.us-east-1.amazonaws.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) | 66.8 |
| Humanity's Last Exam (Artificial Analysis) | 7.4 |
| Berkeley Function-Calling Leaderboard V4 | 48.7 |
| OTIS Mock AIME 2024-2025 (Epoch AI) | 66.94 |
| Vectara HHEM-2.3 | 5.9 |
| Vectara HHEM-2.3 – antwortrate | 99.9 |
| Vectara HHEM-2.3 – halluzination | 5.9 |
| LiveBench (Aufgabensatz 2026-01-08) | 43.6 |
| LLMStructBench: Benchmarking Large Language Model Structured Data Extraction (arXiv:2602.14743) | 0.67 |
| LLMStructBench: Benchmarking Large Language Model Structured Data Extraction (arXiv:2602.14743) – doc micro | 0.39 |
| LLMStructBench: Benchmarking Large Language Model Structured Data Extraction (arXiv:2602.14743) – f1 micro | 0.94 |
| LLMStructBench: Benchmarking Large Language Model Structured Data Extraction (arXiv:2602.14743) – score | 0.67 |