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BrowseComp-Zh benchmark
AI model leaderboard for the BrowseComp-Zh benchmark. Compare how large language models score on BrowseComp-Zh, see the full ranking, and understand what this AI benchmark measures. DeepSeek-V3.2 currently leads with 65. Chinese-language counterpart to BrowseComp — agentic web-browsing tasks requiring multi-page information synthesis.
Leaderboard
| # | Model | Organization | Score | Variant | Source |
|---|---|---|---|---|---|
| #1 | DeepSeek-V3.2 | DeepSeek | 65 | thinking | official ↗ |
| #2 | GPT-5 | OpenAI | 63 | cited-deepseek-v3-2 | official ↗ |
| #3 | Kimi K2 Thinking | Moonshot | 62.3 | thinking-cited-deepseek-v3-2 | official ↗ |
| #4 | Kimi K2 Thinking | Moonshot | 62.3 | thinking-w-tools | official ↗ |
| #5 | Tongyi DeepResearch | Alibaba-NLP | 58.1 | heavy-mode | official ↗ |
| #6 | o3 | OpenAI | 58.1 | react-cited-tongyi | official ↗ |
| #7 | DeepSeek-V3.1 | DeepSeek | 49.2 | react-cited-tongyi | official ↗ |
| #8 | MiniMax-M2 | MiniMax | 48.5 | cited-deepseek-v3-2 | official ↗ |
| #9 | DeepSeek-V3.2-Exp | DeepSeek | 47.9 | from-hf-readme | official ↗ |
| #10 | Tongyi DeepResearch | Alibaba-NLP | 46.7 | react-avg@3 | official ↗ |
| #11 | Claude Sonnet 4.5 | Anthropic | 42.4 | cited-deepseek-v3-2 | official ↗ |
| #12 | GLM 4.5 | Zhipu AI | 37.5 | react-cited-tongyi | official ↗ |
| #13 | Claude Sonnet 4 | Anthropic | 29.1 | react-cited-tongyi | official ↗ |
| #14 | Kimi K2 | Moonshot | 28.8 | react-cited-tongyi | official ↗ |
| #15 | Kimi K2 | Moonshot | 22.2 | k2-0905-w-tools-cited-k2-thinking | official ↗ |
Frequently asked questions about BrowseComp-Zh
What is the BrowseComp-Zh benchmark?
Chinese-language counterpart to BrowseComp — agentic web-browsing tasks requiring multi-page information synthesis.
How is the BrowseComp-Zh benchmark scored?
BrowseComp-Zh is scored using the accuracy 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 BrowseComp-Zh?
As of the latest reported scores on GenAIList, DeepSeek-V3.2 achieves the highest result on BrowseComp-Zh with a score of 65.
Is a higher BrowseComp-Zh score better?
Yes. On BrowseComp-Zh a higher score indicates better performance, so models near the top of the leaderboard are the strongest.