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Qwen3-32B
About Qwen3-32B
Qwen3-32B is an AI model developed by Qwen, in the language category, released in 2025, made available as an open-weights model with 32.8B params.
On this page you'll find Qwen3-32B's full specifications, including 60 benchmark results. Review provider pricing and benchmark scores below, or compare Qwen3-32B head-to-head with other language models.
Links
Run Qwen3-32B locally — what to buy
Share this build ↗Sized to what Qwen3-32B actually needs (~8k context at Q4), not to the biggest GPU: Good = cheapest that runs it, Better = best value, Best = most headroom. Speed is a hardware estimate; anything past ~120 tok/s is shown as instant.
Software support
✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.
Community
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Qwen3-32B benchmark scores▶
| Benchmark | Category | Score | Variant |
|---|---|---|---|
| Codeforces Elo | code | 1,977 | thinking-rating |
| Codeforces Elo | code | 1,353 | non-thinking-rating |
| LiveCodeBench v5 | code | 65.7% | thinking-pass@1 |
| LiveCodeBench v5 | code | 65.7% | reasoning |
| LiveCodeBench v5 | code | 53.24% | thinking-cited-ntele-readme |
| LiveCodeBench v5 | code | 31.3% | non-thinking-pass@1 |
| LiveCodeBench v6 | code | 60.1% | reasoning |
| AlignBench v1.1 | general | 8.72 | thinking-v1-1 |
| AlignBench v1.1 | general | 8.58 | non-thinking-v1-1 |
| ArenaHard | general | 93.8% | thinking |
| ArenaHard | general | 92.8% | non-thinking |
| C-Eval | general | 87.3% | thinking |
| C-Eval | general | 83.3% | non-thinking |
| Creative Writing v3 | general | 81 | thinking |
| Creative Writing v3 | general | 78.3 | non-thinking |
| IFEval | general | 85% | thinking-strict-prompt |
| IFEval | general | 85% | reasoning |
| IFEval | general | 83.2% | non-thinking-strict-prompt |
| LiveBench | general | 74.9 | thinking-2024-11-25 |
| LiveBench | general | 59.8 | non-thinking-2024-11-25 |
| MMLU-Pro | general | 80% | reasoning |
| MMLU-Redux | general | 90.9% | thinking |
| MMLU-Redux | general | 90.9% | reasoning |
| MMLU-Redux | general | 85.7% | non-thinking |
| MMMLU | general | 80.6% | thinking-14lang |
| MMMLU | general | 76.5% | non-thinking-14lang |
| Multi-IF | general | 73 | thinking |
| Multi-IF | general | 70.7 | non-thinking |
| WritingBench | general | 7.9 | thinking |
| WritingBench | general | 7.54 | non-thinking |
| INCLUDE | knowledge | 73.7 | thinking |
| INCLUDE | knowledge | 70.9 | non-thinking |
| AIME 2024 | math | 81.4% | thinking |
| AIME 2024 | math | 78.75% | thinking-cited-ntele-readme |
| AIME 2024 | math | 31% | non-thinking |
| AIME 2025 | math | 73.33% | thinking-cited-ntele-readme |
| AIME 2025 | math | 72.9% | thinking |
| AIME 2025 | math | 72.9% | reasoning |
| AIME 2025 | math | 20.2% | non-thinking |
| HMMT February 2025 | math | 50.4% | reasoning |
| MATH-500 | math | 97.2% | thinking |
| MATH-500 | math | 95% | thinking-cited-ntele-readme |
| MATH-500 | math | 88.6% | non-thinking |
| MT-AIME 2024 | math | 75 | thinking-mt-2024 |
| MT-AIME 2024 | math | 24.1 | non-thinking-mt-2024 |
| PolyMath-en | math | 47.4 | thinking |
| PolyMath-en | math | 22.5 | non-thinking |
| AutoLogi | reasoning | 87.3 | thinking |
| AutoLogi | reasoning | 78.5 | non-thinking |
| GPQA Diamond | reasoning | 69.7% | thinking-cited-ntele-readme |
| GPQA Diamond | reasoning | 68.4% | thinking |
| GPQA Diamond | reasoning | 68.4% | reasoning |
| GPQA Diamond | reasoning | 54.6% | non-thinking |
| MLogiQA | reasoning | 76.3 | thinking |
| MLogiQA | reasoning | 62.9 | non-thinking |
| ZebraLogic | reasoning | 88.8% | thinking |
| ZebraLogic | reasoning | 29.2% | non-thinking |
| BFCL v3 | tool-use | 70.3% | reasoning |
| BFCL v3 | tool-use | 70.3% | thinking |
| BFCL v3 | tool-use | 63% | non-thinking |
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Frequently asked questions
What is Qwen3-32B? ▶
Qwen3-32B is an AI model developed by Qwen, in the language category, released in 2025. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created Qwen3-32B? ▶
Qwen3-32B was developed by Qwen and released in 2025.
Is Qwen3-32B open source or proprietary? ▶
Qwen3-32B ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.
How much does Qwen3-32B cost? ▶
Pricing for Qwen3-32B depends on the provider. See the providers table on this page for the latest API rates.
How does Qwen3-32B perform on benchmarks? ▶
Qwen3-32B is benchmarked across 60 evaluations on GenAIList, including Codeforces Elo (1,977). See the full benchmark table below and compare it with other models.
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