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A head-to-head benchmark comparison of Qwen3-14B across 23 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 Qwen3-14B specs →| Benchmark | Qwen3-14B |
|---|---|
| code | |
| Codeforces Elo | 1,766 |
| LiveCodeBench v5 | 63.5% |
| general | |
| AlignBench v1.1 | 8.56 |
| ArenaHard | 91.7% |
| C-Eval | 86.2% |
| Creative Writing v3 | 80.3 |
| IFEval | 85.4% |
| LiveBench | 71.3 |
| MMLU-Redux | 88.6% |
| MMMLU | 77.9% |
| Multi-IF | 74.8 |
| WritingBench | 7.8 |
| knowledge | |
| INCLUDE | 71.7 |
| math | |
| AIME 2024 | 79.3% |
| AIME 2025 | 70.4% |
| MATH-500 | 96.8% |
| MT-AIME 2024 | 73.3 |
| PolyMath-en | 45.8 |
| reasoning | |
| AutoLogi | 89.2 |
| GPQA Diamond | 64% |
| MLogiQA | 71.1 |
| ZebraLogic | 88.5% |
| tool-use | |
| BFCL v3 | 70.4% |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
Qwen3-14B has the strongest result on Codeforces Elo among the models compared here. See the code-category rows in the table for the full picture.
This comparison covers 23 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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