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Qwen3-0.6B
About Qwen3-0.6B
Qwen3-0.6B is an AI model developed by Qwen, in the language category, released in 2025, made available as an open-weights model with 0.6B params.
On this page you'll find Qwen3-0.6B's full specifications, including 52 benchmark results. Review provider pricing and benchmark scores below, or compare Qwen3-0.6B head-to-head with other language models.
Links
Run Qwen3-0.6B locally — what to buy
Share this build ↗Sized to what Qwen3-0.6B 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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Qwen3-0.6B benchmark scores▶
| Benchmark | Category | Score | Variant |
|---|---|---|---|
| LiveCodeBench v5 | code | 12.3% | thinking-pass@1 |
| LiveCodeBench v5 | code | 3.6% | non-thinking-pass@1 |
| LiveCodeBench v5 | code | 3.6% | non-reasoning |
| LiveCodeBench v6 | code | 6.9% | non-reasoning |
| AlignBench v1.1 | general | 6.1 | thinking-v1-1 |
| AlignBench v1.1 | general | 5.6 | non-thinking-v1-1 |
| ArenaHard | general | 8.5% | thinking |
| ArenaHard | general | 6.5% | non-thinking |
| C-Eval | general | 50.4% | thinking |
| C-Eval | general | 42.6% | non-thinking |
| Creative Writing v3 | general | 30.6 | thinking |
| Creative Writing v3 | general | 28.4 | non-thinking |
| IFEval | general | 59.2% | thinking-strict-prompt |
| IFEval | general | 54.5% | non-reasoning |
| IFEval | general | 54.5% | non-thinking-strict-prompt |
| LiveBench | general | 30.3 | thinking-2024-11-25 |
| LiveBench | general | 21.8 | non-thinking-2024-11-25 |
| MMLU-Pro | general | 26.6% | non-reasoning |
| MMLU-Redux | general | 55.6% | thinking |
| MMLU-Redux | general | 44.6% | non-thinking |
| MMLU-Redux | general | 44.6% | non-reasoning |
| MMMLU | general | 43.1% | thinking-14lang |
| MMMLU | general | 37.1% | non-thinking-14lang |
| Multi-IF | general | 36.1 | thinking |
| Multi-IF | general | 33.3 | non-thinking |
| WritingBench | general | 5.61 | thinking |
| WritingBench | general | 5.13 | non-thinking |
| INCLUDE | knowledge | 35.9 | thinking |
| INCLUDE | knowledge | 34.4 | non-thinking |
| AIME 2024 | math | 10.7% | thinking |
| AIME 2024 | math | 3.4% | non-thinking |
| AIME 2025 | math | 15.1% | thinking |
| AIME 2025 | math | 2.6% | non-reasoning |
| AIME 2025 | math | 2.6% | non-thinking |
| MATH-500 | math | 77.6% | thinking |
| MATH-500 | math | 55.2% | non-thinking |
| MT-AIME 2024 | math | 7.8 | thinking-mt-2024 |
| MT-AIME 2024 | math | 1.5 | non-thinking-mt-2024 |
| PolyMath-en | math | 11.4 | thinking |
| PolyMath-en | math | 4.6 | non-thinking |
| AutoLogi | reasoning | 61.6 | thinking |
| AutoLogi | reasoning | 37.4 | non-thinking |
| GPQA Diamond | reasoning | 27.9% | thinking |
| GPQA Diamond | reasoning | 22.9% | non-thinking |
| GPQA Diamond | reasoning | 22.9% | non-reasoning |
| MLogiQA | reasoning | 40.9 | thinking |
| MLogiQA | reasoning | 37.3 | non-thinking |
| ZebraLogic | reasoning | 30.3% | thinking |
| ZebraLogic | reasoning | 4.2% | non-thinking |
| BFCL v3 | tool-use | 46.4% | thinking |
| BFCL v3 | tool-use | 44.1% | non-thinking |
| BFCL v3 | tool-use | 44.1% | non-reasoning |
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Frequently asked questions
What is Qwen3-0.6B? ▶
Qwen3-0.6B 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 Qwen3-0.6B? ▶
Qwen3-0.6B was developed by Qwen and released in 2025.
Is Qwen3-0.6B open source or proprietary? ▶
Qwen3-0.6B 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 Qwen3-0.6B cost? ▶
Pricing for Qwen3-0.6B depends on the provider. See the providers table on this page for the latest API rates.
How does Qwen3-0.6B perform on benchmarks? ▶
Qwen3-0.6B is benchmarked across 52 evaluations on GenAIList, including LiveCodeBench v5 (12.3%). See the full benchmark table below and compare it with other models.
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