CSimpleQA

Chinese SimpleQA is the first comprehensive Chinese benchmark to evaluate the factuality ability of language models to answer short questions. It contains 3,000 high-quality questions spanning 6 major topics with 99 diverse subtopics, designed to assess Chinese factual knowledge across humanities, science, engineering, culture, and society.

DeepSeek-V4-Pro-Max from DeepSeek currently leads the CSimpleQA leaderboard with a score of 0.844 across 7 evaluated AI models.

Paper

DeepSeekDeepSeek-V4-Pro-Max leads with 84.4%, followed by Alibaba Cloud / Qwen TeamQwen3-235B-A22B-Instruct-2507 at 84.3% and Alibaba Cloud / Qwen TeamQwen3 VL 235B A22B Instruct at 83.4%.

Progress Over Time

Interactive timeline showing model performance evolution on CSimpleQA

State-of-the-art frontier
Open
Proprietary

CSimpleQA Leaderboard

7 models
ContextCostLicense
11.6T1.0M$1.74 / $3.48
2
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
235B
3
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
236B262K$0.30 / $1.50
4284B1.0M$0.14 / $0.28
5
Moonshot AI
Moonshot AI
1.0T
6
Moonshot AI
Moonshot AI
1.0T
7
DeepSeek
DeepSeek
671B
Notice missing or incorrect data?

FAQ

Common questions about CSimpleQA.

What is the CSimpleQA benchmark?

Chinese SimpleQA is the first comprehensive Chinese benchmark to evaluate the factuality ability of language models to answer short questions. It contains 3,000 high-quality questions spanning 6 major topics with 99 diverse subtopics, designed to assess Chinese factual knowledge across humanities, science, engineering, culture, and society.

What is the CSimpleQA leaderboard?

The CSimpleQA leaderboard ranks 7 AI models based on their performance on this benchmark. Currently, DeepSeek-V4-Pro-Max by DeepSeek leads with a score of 0.844. The average score across all models is 0.788.

What is the highest CSimpleQA score?

The highest CSimpleQA score is 0.844, achieved by DeepSeek-V4-Pro-Max from DeepSeek.

How many models are evaluated on CSimpleQA?

7 models have been evaluated on the CSimpleQA benchmark, with 0 verified results and 7 self-reported results.

Where can I find the CSimpleQA paper?

The CSimpleQA paper is available at https://arxiv.org/abs/2411.07140. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does CSimpleQA cover?

CSimpleQA is categorized under general and language. The benchmark evaluates text models with multilingual support.

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