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A head-to-head benchmark comparison of Qwen3-1.7B across 24 evaluations.
Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon .
Full Qwen3-1.7B specs →| Benchmark | Qwen3-1.7B |
|---|---|
| code | |
| LiveCodeBench v5 | 33.2% |
| LiveCodeBench v6 | 16.6% |
| general | |
| AlignBench v1.1 | 7.6 |
| ArenaHard | 43.1% |
| C-Eval | 68.1% |
| Creative Writing v3 | 48 |
| IFEval | 72.5% |
| LiveBench | 51.1 |
| MMLU-Pro | 43.7% |
| MMLU-Redux | 73.9% |
| MMMLU | 59.1% |
| Multi-IF | 51.2 |
| WritingBench | 7.02 |
| knowledge | |
| INCLUDE | 51.8 |
| math | |
| AIME 2024 | 48.3% |
| AIME 2025 | 36.8% |
| MATH-500 | 93.4% |
| MT-AIME 2024 | 36.1 |
| PolyMath-en | 25.2 |
| reasoning | |
| AutoLogi | 83.2 |
| GPQA Diamond | 40.1% |
| MLogiQA | 56 |
| ZebraLogic | 63.2% |
| tool-use | |
| BFCL v3 | 56.6% |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
Qwen3-1.7B has the strongest result on LiveCodeBench v5 among the models compared here. See the code-category rows in the table for the full picture.
This comparison covers 24 benchmarks on which at least one of the selected models has a published score.
Scores are aggregated from official model cards, technical reports and standard public evaluations, and link back to each benchmark's source. They are updated as new results are published.
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