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language benchmark

CSimpleQA Leaderboard

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.

Updated Aug 17, 2026

Models8
Model coverage8
MetricScore
EvidenceB

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CSimpleQA Ranking

Higher score ranks better on this benchmark.

8 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelDEDeepSeek-V4-Pro-MaxDeepSeekScore84.4%Percentile100.0%Participants8EvidenceCEvaluatedAug 17, 2026
Rank02ModelACQwen3-235B-A22B-Instruct-2507Alibaba Cloud / Qwen TeamScore84.3%Percentile85.7%Participants8EvidenceCEvaluatedAug 17, 2026
Rank03ModelACQwen3 VL 235B A22B InstructAlibaba Cloud / Qwen TeamScore83.4%Percentile71.4%Participants8EvidenceCEvaluatedAug 17, 2026
Rank04ModelDEDeepSeek-V4-Flash-MaxDeepSeekScore78.9%Percentile57.1%Participants8EvidenceCEvaluatedAug 17, 2026
Rank05ModelMAKimi K2 InstructMoonshot AIScore78.4%Percentile42.9%Participants8EvidenceCEvaluatedAug 17, 2026
Rank06ModelMAKimi K2 BaseMoonshot AIScore77.6%Percentile28.6%Participants8EvidenceCEvaluatedAug 17, 2026
Rank07ModelDEDeepSeek-V4-Flash-0423DeepSeekScore73.2%Percentile14.3%Participants8EvidenceCEvaluatedAug 17, 2026
Rank08ModelDEDeepSeek-V3DeepSeekScore64.8%Percentile0.0%Participants8EvidenceCEvaluatedAug 17, 2026

CSimpleQA Highlights

The leading models and scores on this benchmark.

Rank #1DeepSeek-V4-Pro-Max84.4%Rank #2Qwen3-235B-A22B-Instruct-250784.3%Rank #3Qwen3 VL 235B A22B Instruct83.4%Rank #4DeepSeek-V4-Flash-Max78.9%

CSimpleQA Score Distribution

A closer view of the leading scores on this benchmark.

CSimpleQA

The Top AI Models for CSimpleQA

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

Ranking basisThis csimpleqa AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    DE
    DeepSeek-V4-Pro-MaxDeepSeek
    Score
    84.4%
    Price
    $0.43 input / $0.87 output per 1M tokens
    Speed
    Up to 18 tok/s via Fireworks

    Strengths

    • Ranks #1 of 8 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures CSimpleQA, not total model capability
  2. 02
    AC
    Qwen3-235B-A22B-Instruct-2507Alibaba Cloud / Qwen Team
    Score
    84.3%
    Price
    $0.70 input / $2.8 output per 1M tokens
    Speed
    Up to 68 tok/s via Fireworks

    Strengths

    • Ranks #2 of 8 compared models
    • 86th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures CSimpleQA, not total model capability
  3. 03
    AC
    Qwen3 VL 235B A22B InstructAlibaba Cloud / Qwen Team
    Score
    83.4%

    Strengths

    • Ranks #3 of 8 compared models
    • 71th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures CSimpleQA, not total model capability
  4. 04
    DE
    DeepSeek-V4-Flash-MaxDeepSeek
    Score
    78.9%
    Price
    $0.14 input / $0.28 output per 1M tokens
    Speed
    Up to 19 tok/s via Novita

    Strengths

    • Ranks #4 of 8 compared models
    • 57th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures CSimpleQA, not total model capability
  5. 05
    MA
    Kimi K2 InstructMoonshot AI
    Score
    78.4%
    Price
    $0.60 input / $2.5 output per 1M tokens
    Speed
    Up to 45 tok/s via Novita

    Strengths

    • Ranks #5 of 8 compared models
    • 43th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures CSimpleQA, not total model capability

Selection summary

Best AI Models for CSimpleQA

DeepSeek-V4-Pro-Max currently leads CSimpleQA with 84.4%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.

Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.

Benchmark rank #1DeepSeek-V4-Pro-Max84.4% · $0.43 input / $0.87 output per 1M tokensBenchmark rank #2Qwen3-235B-A22B-Instruct-250784.3% · $0.70 input / $2.8 output per 1M tokensBenchmark rank #3Qwen3 VL 235B A22B Instruct83.4%

What is CSimpleQA?

What CSimpleQA measures and how its scores work.

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.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
CSimpleQA
Modality
text
Primary category
language
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
csimpleqa|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about CSimpleQA.

Which model scores highest on CSimpleQA?

DeepSeek-V4-Pro-Max is currently ranked first with 84.4%.

What does CSimpleQA measure?

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.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

8 model results are currently shown.

Does this benchmark affect the overall score?

Yes. This benchmark can contribute to the current LLMBoard capability score.