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.

Qwen3.5-397B-A17B from Alibaba Cloud / Qwen Team currently leads the BrowseComp-zh leaderboard with a score of 0.703 across 13 evaluated AI models.

Paper

Alibaba Cloud / Qwen TeamQwen3.5-397B-A17B leads with 70.3%, followed by Alibaba Cloud / Qwen TeamQwen3.5-122B-A10B at 69.9% and Alibaba Cloud / Qwen TeamQwen3.5-35B-A3B at 69.5%.

Progress Over Time

Interactive timeline showing model performance evolution on BrowseComp-zh

State-of-the-art frontier
Open
Proprietary

BrowseComp-zh Leaderboard

13 models
ContextCostLicense
1
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
397B262K$0.60 / $3.60
2
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
122B262K$0.40 / $3.20
3
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
35B262K$0.25 / $2.00
4560B
5
Zhipu AI
Zhipu AI
358B205K$0.60 / $2.20
6685B164K$0.26 / $0.38
6685B
81.0T
9
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
27B262K$0.30 / $2.40
10671B
11
MiniMax
MiniMax
230B1.0M$0.30 / $1.20
12685B
13671B131K$0.55 / $2.19
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FAQ

Common questions about BrowseComp-zh.

What is the BrowseComp-zh benchmark?

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.

What is the BrowseComp-zh leaderboard?

The BrowseComp-zh leaderboard ranks 13 AI models based on their performance on this benchmark. Currently, Qwen3.5-397B-A17B by Alibaba Cloud / Qwen Team leads with a score of 0.703. The average score across all models is 0.601.

What is the highest BrowseComp-zh score?

The highest BrowseComp-zh score is 0.703, achieved by Qwen3.5-397B-A17B from Alibaba Cloud / Qwen Team.

How many models are evaluated on BrowseComp-zh?

13 models have been evaluated on the BrowseComp-zh benchmark, with 0 verified results and 13 self-reported results.

Where can I find the BrowseComp-zh paper?

The BrowseComp-zh paper is available at https://arxiv.org/abs/2504.19314. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does BrowseComp-zh cover?

BrowseComp-zh is categorized under reasoning and search. The benchmark evaluates text models with multilingual support.

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