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Qwen3-1.7B
About Qwen3-1.7B
Qwen3-1.7B is an AI model developed by Qwen, in the language category, released in 2025, made available as an open-weights model with 1.7B params.
On this page you'll find Qwen3-1.7B's full specifications, including 52 benchmark results. Review provider pricing and benchmark scores below, or compare Qwen3-1.7B head-to-head with other language models.
Links
Run Qwen3-1.7B locally — what to buy
Share this build ↗Sized to what Qwen3-1.7B 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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Qwen3-1.7B benchmark scores▶
| Benchmark | Category | Score | Variant |
|---|---|---|---|
| LiveCodeBench v5 | code | 33.2% | thinking-pass@1 |
| LiveCodeBench v5 | code | 11.6% | non-thinking-pass@1 |
| LiveCodeBench v5 | code | 11.6% | non-reasoning |
| LiveCodeBench v6 | code | 16.6% | non-reasoning |
| AlignBench v1.1 | general | 7.6 | thinking-v1-1 |
| AlignBench v1.1 | general | 7.2 | non-thinking-v1-1 |
| ArenaHard | general | 43.1% | thinking |
| ArenaHard | general | 36.9% | non-thinking |
| C-Eval | general | 68.1% | thinking |
| C-Eval | general | 61% | non-thinking |
| Creative Writing v3 | general | 48 | thinking |
| Creative Writing v3 | general | 43.6 | non-thinking |
| IFEval | general | 72.5% | thinking-strict-prompt |
| IFEval | general | 68.2% | non-reasoning |
| IFEval | general | 68.2% | non-thinking-strict-prompt |
| LiveBench | general | 51.1 | thinking-2024-11-25 |
| LiveBench | general | 35.6 | non-thinking-2024-11-25 |
| MMLU-Pro | general | 43.7% | non-reasoning |
| MMLU-Redux | general | 73.9% | thinking |
| MMLU-Redux | general | 64.4% | non-thinking |
| MMLU-Redux | general | 63.4% | non-reasoning |
| MMMLU | general | 59.1% | thinking-14lang |
| MMMLU | general | 48.3% | non-thinking-14lang |
| Multi-IF | general | 51.2 | thinking |
| Multi-IF | general | 44.7 | non-thinking |
| WritingBench | general | 7.02 | thinking |
| WritingBench | general | 6.54 | non-thinking |
| INCLUDE | knowledge | 51.8 | thinking |
| INCLUDE | knowledge | 42.6 | non-thinking |
| AIME 2024 | math | 48.3% | thinking |
| AIME 2024 | math | 13.4% | non-thinking |
| AIME 2025 | math | 36.8% | thinking |
| AIME 2025 | math | 9.8% | non-reasoning |
| AIME 2025 | math | 9.8% | non-thinking |
| MATH-500 | math | 93.4% | thinking |
| MATH-500 | math | 73% | non-thinking |
| MT-AIME 2024 | math | 36.1 | thinking-mt-2024 |
| MT-AIME 2024 | math | 4.9 | non-thinking-mt-2024 |
| PolyMath-en | math | 25.2 | thinking |
| PolyMath-en | math | 10.3 | non-thinking |
| AutoLogi | reasoning | 83.2 | thinking |
| AutoLogi | reasoning | 59.8 | non-thinking |
| GPQA Diamond | reasoning | 40.1% | thinking |
| GPQA Diamond | reasoning | 28.6% | non-thinking |
| GPQA Diamond | reasoning | 28.6% | non-reasoning |
| MLogiQA | reasoning | 56 | thinking |
| MLogiQA | reasoning | 41.1 | non-thinking |
| ZebraLogic | reasoning | 63.2% | thinking |
| ZebraLogic | reasoning | 12.8% | non-thinking |
| BFCL v3 | tool-use | 56.6% | thinking |
| BFCL v3 | tool-use | 52.2% | non-thinking |
| BFCL v3 | tool-use | 52.2% | non-reasoning |
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Frequently asked questions
What is Qwen3-1.7B? ▶
Qwen3-1.7B 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 Qwen3-1.7B? ▶
Qwen3-1.7B was developed by Qwen and released in 2025.
Is Qwen3-1.7B open source or proprietary? ▶
Qwen3-1.7B 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 Qwen3-1.7B cost? ▶
Pricing for Qwen3-1.7B depends on the provider. See the providers table on this page for the latest API rates.
How does Qwen3-1.7B perform on benchmarks? ▶
Qwen3-1.7B is benchmarked across 52 evaluations on GenAIList, including LiveCodeBench v5 (33.2%). See the full benchmark table below and compare it with other models.
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