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reasoning benchmark

CMMLU Leaderboard

CMMLU (Chinese Massive Multitask Language Understanding) is a comprehensive Chinese benchmark that evaluates the knowledge and reasoning capabilities of large language models across 67 different subject topics. The benchmark covers natural sciences, social sciences, engineering, and humanities with multiple-choice questions ranging from basic to advanced professional levels.

Updated Aug 17, 2026

Models6
Model coverage6
MetricScore
EvidenceB

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  • FAQ

CMMLU Ranking

Higher score ranks better on this benchmark.

6 rows
Columns

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Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelXIMiMo-V2.5-ProXiaomiScore90.2%Percentile100.0%Participants6EvidenceCEvaluatedAug 17, 2026
Rank02ModelACQwen2 72B InstructAlibaba Cloud / Qwen TeamScore90.1%Percentile80.0%Participants6EvidenceCEvaluatedAug 17, 2026
Rank03ModelMELongCat-Flash-ChatMeituanScore84.3%Percentile60.0%Participants6EvidenceCEvaluatedAug 17, 2026
Rank04ModelMELongCat-Flash-LiteMeituanScore82.5%Percentile40.0%Participants6EvidenceCEvaluatedAug 17, 2026
Rank05ModelOPMiniCPM-SALAOpenBMBScore81.5%Percentile20.0%Participants6EvidenceCEvaluatedAug 17, 2026
Rank06ModelBAERNIE 4.5BaiduScore39.8%Percentile0.0%Participants6EvidenceCEvaluatedAug 17, 2026

CMMLU Highlights

The leading models and scores on this benchmark.

Rank #1MiMo-V2.5-Pro90.2%Rank #2Qwen2 72B Instruct90.1%Rank #3LongCat-Flash-Chat84.3%Rank #4LongCat-Flash-Lite82.5%

CMMLU Score Distribution

A closer view of the leading scores on this benchmark.

CMMLU

The Top AI Models for CMMLU

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

Ranking basisThis cmmlu 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
    XI
    MiMo-V2.5-ProXiaomi
    Score
    90.2%
    Price
    $0.43 input / $0.87 output per 1M tokens
    Speed
    Up to 69 tok/s via Novita

    Strengths

    • Ranks #1 of 6 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures CMMLU, not total model capability
  2. 02
    AC
    Qwen2 72B InstructAlibaba Cloud / Qwen Team
    Score
    90.1%

    Strengths

    • Ranks #2 of 6 compared models
    • 80th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures CMMLU, not total model capability
  3. 03
    ME
    LongCat-Flash-ChatMeituan
    Score
    84.3%
    Speed
    Up to 100 tok/s via Meituan

    Strengths

    • Ranks #3 of 6 compared models
    • 60th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures CMMLU, not total model capability
  4. 04
    ME
    LongCat-Flash-LiteMeituan
    Score
    82.5%
    Speed
    Up to 500 tok/s via Meituan

    Strengths

    • Ranks #4 of 6 compared models
    • 40th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures CMMLU, not total model capability
  5. 05
    OP
    MiniCPM-SALAOpenBMB
    Score
    81.5%

    Strengths

    • Ranks #5 of 6 compared models
    • 20th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures CMMLU, not total model capability

Selection summary

Best AI Models for CMMLU

MiMo-V2.5-Pro currently leads CMMLU with 90.2%. 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 #1MiMo-V2.5-Pro90.2% · $0.43 input / $0.87 output per 1M tokensBenchmark rank #2Qwen2 72B Instruct90.1%Benchmark rank #3LongCat-Flash-Chat84.3% · Up to 100 tok/s via Meituan

What is CMMLU?

What CMMLU measures and how its scores work.

CMMLU (Chinese Massive Multitask Language Understanding) is a comprehensive Chinese benchmark that evaluates the knowledge and reasoning capabilities of large language models across 67 different subject topics. The benchmark covers natural sciences, social sciences, engineering, and humanities with multiple-choice questions ranging from basic to advanced professional levels.

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

Family
CMMLU
Modality
text
Primary category
reasoning
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
cmmlu|llm-stats-current

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

FAQ

Common questions about CMMLU.

Which model scores highest on CMMLU?

MiMo-V2.5-Pro is currently ranked first with 90.2%.

What does CMMLU measure?

CMMLU (Chinese Massive Multitask Language Understanding) is a comprehensive Chinese benchmark that evaluates the knowledge and reasoning capabilities of large language models across 67 different subject topics. The benchmark covers natural sciences, social sciences, engineering, and humanities with multiple-choice questions ranging from basic to advanced professional levels.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

6 model results are currently shown.

Does this benchmark affect the overall score?

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