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GAIA benchmark
AI model leaderboard for the GAIA benchmark. Compare how large language models score on GAIA, see the full ranking, and understand what this AI benchmark measures. Tongyi DeepResearch currently leads with 70.9. General AI Assistants benchmark — multi-step real-world tasks requiring web search, code, and reasoning.
Leaderboard
| # | Model | Organization | Score | Variant | Source |
|---|---|---|---|---|---|
| #1 | Tongyi DeepResearch | Alibaba-NLP | 70.9 | react-avg@3 | official ↗ |
| #2 | Claude Sonnet 4 | Anthropic | 68.3 | react-cited-tongyi | official ↗ |
| #3 | GLM 4.5 | Zhipu AI | 66 | react-cited-tongyi | official ↗ |
| #4 | DeepSeek-V3.1 | DeepSeek | 63.1 | react-cited-tongyi | official ↗ |
| #5 | o4-mini | OpenAI | 60 | react-cited-tongyi | official ↗ |
| #6 | Kimi K2 | Moonshot | 57.7 | react-cited-tongyi | official ↗ |
Frequently asked questions about GAIA
What is the GAIA benchmark?
General AI Assistants benchmark — multi-step real-world tasks requiring web search, code, and reasoning.
How is the GAIA benchmark scored?
GAIA is scored using the pass@1 metric, where a higher score is better. GenAIList aggregates reported scores from model providers and papers into a single ranked leaderboard.
Which AI model scores highest on GAIA?
As of the latest reported scores on GenAIList, Tongyi DeepResearch achieves the highest result on GAIA with a score of 70.9.
Is a higher GAIA score better?
Yes. On GAIA a higher score indicates better performance, so models near the top of the leaderboard are the strongest.