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reasoning benchmark

BrowseComp-zh

A high-difficulty benchmark purpose-built to comprehensively evaluate LLM agents on the Chinese web, consisting of 289 multi-hop questions spanning 11 diverse domains including Film & TV, Technology, Medicine, and History. Questions are reverse-engineered from short, objective, and easily verifiable answers, requiring sophisticated reasoning and information reconciliation beyond basic retrieval. The benchmark addresses linguistic, infrastructural, and censorship-related complexities in Chinese web environments.

Updated Aug 11, 2026

Models13
Model coverage13
MetricScore
EvidenceB

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  • FAQ

BrowseComp-zh Ranking

Higher score ranks better on this benchmark.

13 rows
Columns

Show columns

01ACQwen3.5-397B-A17BAlibaba Cloud / Qwen Team70.3%100.0%13CAug 11, 2026
02ACQwen3.5-122B-A10BAlibaba Cloud / Qwen Team69.9%91.7%13CAug 11, 2026
03ACQwen3.5-35B-A3BAlibaba Cloud / Qwen Team69.5%83.3%13CAug 11, 2026
04MELongCat-Flash-Thinking-2601Meituan69.0%75.0%13CAug 11, 2026
05ZAGLM-4.7Zhipu AI66.6%66.7%13CAug 11, 2026
06DEDeepSeek-V3.2 (Thinking)DeepSeek65.0%58.3%13CAug 11, 2026
07DEDeepSeek-V3.2DeepSeek65.0%50.0%13CAug 11, 2026
08MAKimi K2-Thinking-0905Moonshot AI62.3%41.7%13CAug 11, 2026
09ACQwen3.5-27BAlibaba Cloud / Qwen Team62.1%33.3%13CAug 11, 2026
10DEDeepSeek-V3.1DeepSeek49.2%25.0%13CAug 11, 2026
11MIMiniMax M2MiniMax48.5%16.7%13CAug 11, 2026
12DEDeepSeek-V3.2-ExpDeepSeek47.9%8.3%13CAug 11, 2026
13DEDeepSeek-R1-0528DeepSeek35.7%0.0%13CAug 11, 2026

BrowseComp-zh Score Distribution

A closer view of the leading scores on this benchmark.

BrowseComp-zh

BrowseComp-zh Highlights

The leading models and scores on this benchmark.

Rank #1Qwen3.5-397B-A17B70.3%Rank #2Qwen3.5-122B-A10B69.9%Rank #3Qwen3.5-35B-A3B69.5%Rank #4LongCat-Flash-Thinking-260169.0%

What is BrowseComp-zh?

What BrowseComp-zh measures and how its scores work.

A high-difficulty benchmark purpose-built to comprehensively evaluate LLM agents on the Chinese web, consisting of 289 multi-hop questions spanning 11 diverse domains including Film & TV, Technology, Medicine, and History. Questions are reverse-engineered from short, objective, and easily verifiable answers, requiring sophisticated reasoning and information reconciliation beyond basic retrieval. The benchmark addresses linguistic, infrastructural, and censorship-related complexities in Chinese web environments.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
BrowseComp-zh
Modality
text
Primary category
reasoning
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
browsecomp-zh|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about BrowseComp-zh.

Which model scores highest on BrowseComp-zh?

Qwen3.5-397B-A17B is currently ranked first with 70.3%.

What does BrowseComp-zh measure?

A high-difficulty benchmark purpose-built to comprehensively evaluate LLM agents on the Chinese web, consisting of 289 multi-hop questions spanning 11 diverse domains including Film & TV, Technology, Medicine, and History. Questions are reverse-engineered from short, objective, and easily verifiable answers, requiring sophisticated reasoning and information reconciliation beyond basic retrieval. The benchmark addresses linguistic, infrastructural, and censorship-related complexities in Chinese web environments.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

13 model results are currently shown.

Does this benchmark affect the overall score?

Yes. This benchmark can contribute to the current LLMBoard capability score.