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A head-to-head benchmark comparison of Qwen1.5-32B across 16 evaluations.
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous rele.
Full Qwen1.5-32B specs →| Benchmark | Qwen1.5-32B |
|---|---|
| code | |
| HumanEval | 43.3% |
| MBPP | 64.2% |
| coding | |
| EvalPlus | 50.4 |
| MultiPL-E | 38.5 |
| general | |
| C-Eval | 83.5% |
| MMLU | 74.3% |
| MMLU-Pro | 44% |
| knowledge | |
| ARC-Challenge | 63.6 |
| CMMLU | 82.3 |
| math | |
| GSM8K | 76.8% |
| MATH | 36.1% |
| reasoning | |
| BIG-Bench Hard | 66.8% |
| GPQA Diamond | 30.8% |
| HellaSwag | 85 |
| Winogrande | 81.5 |
| safety | |
| TruthfulQA | 57.4% |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
Qwen1.5-32B 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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