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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 7, 2026

Published models13
Registry coverage13
MetricScore
EvidenceB

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  • Distribution
  • Highlights
  • About
  • FAQ

BrowseComp-zh leaderboard

Sorted by the source-provided rank. Higher score is better according to the registry.

13 rows
Columns

Show columns

1ACQwen3.5-397B-A17BAlibaba Cloud / Qwen Team70.3%100.0%13CAug 7, 2026
2ACQwen3.5-122B-A10BAlibaba Cloud / Qwen Team69.9%91.7%13CAug 7, 2026
3ACQwen3.5-35B-A3BAlibaba Cloud / Qwen Team69.5%83.3%13CAug 7, 2026
4MELongCat-Flash-Thinking-2601Meituan69.0%75.0%13CAug 7, 2026
5ZAGLM-4.7Zhipu AI66.6%66.7%13CAug 7, 2026
6DEDeepSeek-V3.2 (Thinking)DeepSeek65.0%58.3%13CAug 7, 2026
7DEDeepSeek-V3.2DeepSeek65.0%50.0%13CAug 7, 2026
8MAKimi K2-Thinking-0905Moonshot AI62.3%41.7%13CAug 7, 2026
9ACQwen3.5-27BAlibaba Cloud / Qwen Team62.1%33.3%13CAug 7, 2026
10DEDeepSeek-V3.1DeepSeek49.2%25.0%13CAug 7, 2026
11MIMiniMax M2MiniMax48.5%16.7%13CAug 7, 2026
12DEDeepSeek-V3.2-ExpDeepSeek47.9%8.3%13CAug 7, 2026
13DEDeepSeek-R1-0528DeepSeek35.7%0.0%13CAug 7, 2026

Score distribution

Top published rows on the benchmark's original scale.

BrowseComp-zh

BrowseComp-zh highlights

The top published results on this benchmark's own scale.

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?

Definition and scoring fields from the benchmark registry.

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. The current registry marks this benchmark as not independently verified with evidence level B.

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

Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.

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 unique published model results are currently shown.

Does this benchmark affect the overall score?

This benchmark is marked as eligible for the current LLMBoard capability methodology.

Rankings

OverallCodingText ArenaPricing

Modalities

Image GenerationVideo GenerationSpeech-to-TextEmbeddings

Benchmarks

All BenchmarksReasoningMathCoding

Vendors

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