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A head-to-head benchmark comparison of Qwen2.5 Instruct (72B) across 16 evaluations.
Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models rangi.
Full Qwen2.5 Instruct (72B) specs →| Benchmark | Qwen2.5 Instruct (72B) |
|---|---|
| code | |
| HumanEval | 94% |
| HumanEval+ | 90.8% |
| MBPP+ | 77% |
| general | |
| AlpacaEval 2 | 47.7% |
| ArenaHard | 81.2% |
| IFEval | 87.6% |
| MMLU | 86.1% |
| MMLU-Pro | 71.1% |
| math | |
| GSM8K | 95.8% |
| MATH | 81.8% |
| reasoning | |
| BIG-Bench Hard | 67.2% |
| DROP | 85% |
| GPQA Diamond | 49% |
| safety | |
| C-SimpleQA | 52.2% |
| SimpleQA | 10.3% |
| TruthfulQA | 69.9% |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
Qwen2.5 Instruct (72B) 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 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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