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A head-to-head benchmark comparison of Qwen2.5-7B across 22 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 Qwen2.5-7B specs →| Benchmark | Qwen2.5-7B |
|---|---|
| code | |
| HumanEval | 93.35% |
| HumanEval+ | 89.91% |
| general | |
| AlpacaEval 2 | 31.7% |
| ArenaHard | 55.5% |
| IFEval | 74.9% |
| LiveBench | 35.6 |
| MMLU | 74.4% |
| MMLU-Pro | 56.2% |
| MMMLU | 64.4% |
| knowledge | |
| AGIEval | 63.7 |
| ARC-Challenge | 90.1 |
| TriviaQA | 69.4 |
| math | |
| GSM8K | 88.7% |
| MATH | 60.4% |
| MGSM | 64.5 |
| reasoning | |
| BIG-Bench Hard | 72.4% |
| DROP | 55.8% |
| GPQA Diamond | 32% |
| HellaSwag | 89.7 |
| PIQA | 76.2 |
| Winogrande | 74.2 |
| safety | |
| TruthfulQA | 69.4% |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
Qwen2.5-7B has the strongest result on HumanEval among the models compared here. See the code-category rows in the table for the full picture.
This comparison covers 22 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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