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A head-to-head benchmark comparison of DeepSeek-V3.1 across 13 evaluations.
DeepSeek-V3.1 is a hybrid model that supports both thinking mode and non-thinking mode. Compared to the previous version, this upgrade brings improvements in mu.
Full DeepSeek-V3.1 specs →| Benchmark | DeepSeek-V3.1 |
|---|---|
| agentic | |
| BrowseComp | 30% |
| BrowseComp-Zh | 49.2 |
| GAIA | 63.1 |
| WebWalkerQA | 61.2 |
| xbench-DeepSearch | 71 |
| code | |
| LiveCodeBench v5 | 66.59% |
| long-context | |
| Frames | 83.7 |
| math | |
| AIME 2024 | 91.87% |
| AIME 2025 | 82.49% |
| HMMT February 2025 | 83.54% |
| Omni-MATH-HARD | 53.22% |
| reasoning | |
| GPQA Diamond | 79.46% |
| Humanity's Last Exam | 29.8% |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
DeepSeek-V3.1 has the strongest result on LiveCodeBench v5 among the models compared here. See the code-category rows in the table for the full picture.
This comparison covers 13 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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