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A head-to-head benchmark comparison of Tongyi DeepResearch across 10 evaluations.
We present Tongyi DeepResearch, an agentic large language model, which is specifically designed for long-horizon, deep information-seeking research tasks. To in.
Full Tongyi DeepResearch specs →| Benchmark | Tongyi DeepResearch |
|---|---|
| agentic | |
| BrowseComp | 58.3% |
| BrowseComp-Zh | 58.1 |
| GAIA | 70.9 |
| WebWalkerQA | 72.2 |
| xbench-DeepSearch | 75 |
| long-context | |
| Frames | 90.6 |
| math | |
| AIME 2025 | 100% |
| HMMT 2025 (combined) | 100 |
| reasoning | |
| Humanity's Last Exam | 38.3% |
| safety | |
| SimpleQA | 98.6% |
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 10 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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