reasoning 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.
Updated Aug 11, 2026
Higher score ranks better on this benchmark.
| 01 | AC | 70.3% | 100.0% | 13 | C | |
| 02 | AC | 69.9% | 91.7% | 13 | C | |
| 03 | AC | 69.5% | 83.3% | 13 | C | |
| 04 | ME | 69.0% | 75.0% | 13 | C | |
| 05 | ZA | 66.6% | 66.7% | 13 | C | |
| 06 | DE | 65.0% | 58.3% | 13 | C | |
| 07 | DE | 65.0% | 50.0% | 13 | C | |
| 08 | MA | 62.3% | 41.7% | 13 | C | |
| 09 | AC | 62.1% | 33.3% | 13 | C | |
| 10 | DE | 49.2% | 25.0% | 13 | C | |
| 11 | MI | 48.5% | 16.7% | 13 | C | |
| 12 | DE | 47.9% | 8.3% | 13 | C | |
| 13 | DE | 35.7% | 0.0% | 13 | C |
A closer view of the leading scores on this benchmark.
The leading models and scores on this benchmark.
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.
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about BrowseComp-zh.
Qwen3.5-397B-A17B is currently ranked first with 70.3%.
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.
Yes. Higher values rank better for this benchmark.
13 model results are currently shown.
Yes. This benchmark can contribute to the current LLMBoard capability score.