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A head-to-head benchmark comparison of Qwen2.5-3B across 16 evaluations.
In the past three months since Qwen2’s release, numerous developers have built new models on the Qwen2 language models, providing us with valuable feedback. Dur.
Full Qwen2.5-3B specs →| Benchmark | Qwen2.5-3B |
|---|---|
| general | |
| AlpacaEval 2 | 17.4% |
| ArenaHard | 32% |
| IFEval | 60.8% |
| LiveBench | 25.7 |
| MMLU | 65% |
| MMLU-Pro | 44.7% |
| MMMLU | 55.9% |
| knowledge | |
| ARC-Challenge | 82.6 |
| math | |
| GSM8K | 80.6% |
| MATH | 61.7% |
| MGSM | 53.5 |
| reasoning | |
| BIG-Bench Hard | 56.2% |
| HellaSwag | 74.6 |
| PIQA | 72.6 |
| Winogrande | 63.3 |
| safety | |
| TruthfulQA | 64.3% |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
This comparison covers 16 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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