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LLM Stats
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.
Evaluation context and evidence
- Source
- LLM Stats
- Publisher
- Not recorded
- Benchmark release
- Not recorded
- Collected
- 2026-08-17
- Modality
- text
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Original sources
Reported results 8
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| DeepSeek-V4-Pro-Max | 0.844 | Not recorded | Not recorded | 2026-04-23 · model_announcement | LLM Stats |
| Qwen3-235B-A22B-Instruct-2507 | 0.843 | Not recorded | Not recorded | 2025-07-22 · model_announcement | LLM Stats |
| Qwen3 VL 235B A22B Instruct | 0.834 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| DeepSeek-V4-Flash-Max | 0.789 | Not recorded | Not recorded | 2026-04-23 · model_announcement | LLM Stats |
| Kimi K2 Instruct | 0.784 | Not recorded | Not recorded | 2025-07-11 · model_announcement | LLM Stats |
| Kimi K2 Base | 0.776 | Not recorded | Not recorded | 2025-07-11 · model_announcement | LLM Stats |
| DeepSeek-V4-Flash-0423 | 0.732 | Not recorded | Not recorded | 2026-04-23 · model_announcement | LLM Stats |
| DeepSeek-V3 | 0.648 | Not recorded | Not recorded | 2024-12-25 · model_announcement | LLM Stats |