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language benchmark

CMMLU Leaderboard

CMMLU is a Chinese benchmark evaluating large language models across 67 subject topics in natural sciences, social sciences, engineering, and humanities.

Updated Sep 5, 2026

Models6
Model coverage6
MetricScore
EvidenceB

On this page

  • Ranking
  • Highlights
  • Distribution
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  • About
  • FAQ

CMMLU Ranking

Higher score ranks better on this benchmark.

6 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelXIMiMo-V2.5-ProXiaomiScore90.20%Percentile100.00%Participants6EvidenceCEvaluatedSep 8, 2026
Rank02ModelACQwen2 72B InstructAlibaba Cloud / Qwen TeamScore90.10%Percentile80.00%Participants6EvidenceCEvaluatedSep 8, 2026
Rank03ModelMELongCat-Flash-ChatMeituanScore84.34%Percentile60.00%Participants6EvidenceCEvaluatedSep 8, 2026
Rank04ModelMELongCat-Flash-LiteMeituanScore82.48%Percentile40.00%Participants6EvidenceCEvaluatedSep 8, 2026
Rank05ModelOPMiniCPM-SALAOpenBMBScore81.55%Percentile20.00%Participants6EvidenceCEvaluatedSep 8, 2026
Rank06ModelBAERNIE 4.5BaiduScore39.80%Percentile0.00%Participants6EvidenceCEvaluatedSep 8, 2026

CMMLU Highlights

The leading models and scores on this benchmark.

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.

What is CMMLU?

What CMMLU measures and how its scores work.

CMMLU (Chinese Massive Multitask Language Understanding) is a comprehensive Chinese benchmark using multiple-choice questions across 67 subject topics, ranging from basic to advanced professional levels.

It measures the knowledge and reasoning capabilities of large language models, with results reported as a Score in ratio units.

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

Family
CMMLU
Modality
text
Primary category
language
Score direction
higher
LLMBoard eligible
No
Evaluation key
overall

LLM Stats. 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 90.20%.

What are the top three models on CMMLU?

The current leaders are MiMo-V2.5-Pro (90.20%), Qwen2 72B Instruct (90.10%), and LongCat-Flash-Chat (84.34%).

Which CMMLU model has the lowest official input price?

MiMo-V2.5-Pro has the lowest matched official input price at $0.44 input / $0.87 output per 1M tokens.

Which models are fastest among CMMLU results?

The fastest matched records are MiMo-V2.5-Pro (5.27 tok/s via DeepInfra).

Does the highest score result prove overall model quality?

No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.

What does CMMLU measure?

It measures the knowledge and reasoning capabilities of large language models, with results reported as a Score in ratio units.

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?

No. This benchmark is shown for reference but does not contribute to the overall score.

Rank #1MiMo-V2.5-Pro90.20%
Rank #2Qwen2 72B Instruct90.10%
Rank #3LongCat-Flash-Chat84.34%
Rank #4LongCat-Flash-Lite82.48%

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

  1. 01
    XI
    MiMo-V2.5-ProXiaomi
    Score
    90.20%
    Price
    $0.44 input / $0.87 output per 1M tokens
    Speed
    Up to 5.27 tok/s via DeepInfra

    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
    90.10%

    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
    Meituan
    Score
    84.34%

    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
    Meituan
    Score
    82.48%

    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
    OpenBMB
    Score
    81.55%

    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 90.20%. 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.

LongCat-Flash-Chat
LongCat-Flash-Lite
MiniCPM-SALA
Benchmark rank #1MiMo-V2.5-Pro90.20% · $0.44 input / $0.87 output per 1M tokens
Benchmark rank #2Qwen2 72B Instruct90.10%
Benchmark rank #3LongCat-Flash-Chat84.34%