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language benchmark

Global-MMLU Leaderboard

Global-MMLU is a multilingual language benchmark covering 42 languages with culturally sensitive question subsets and improved translation quality.

Updated Sep 5, 2026

Models5
Model coverage5
MetricScore
EvidenceB

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Global-MMLU Ranking

Higher score ranks better on this benchmark.

5 rows
Columns

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Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelXIMiMo-V2.5-ProXiaomiScore83.60%Percentile100.00%Participants5EvidenceCEvaluatedSep 8, 2026
Rank02ModelGOGemma 3n E4B InstructedGoogleScore60.30%Percentile75.00%Participants5EvidenceCEvaluatedSep 8, 2026
Rank03ModelGOGemma 3n E4B Instructed LiteRT PreviewGoogleScore60.30%Percentile50.00%Participants5EvidenceCEvaluatedSep 8, 2026
Rank04ModelGOGemma 3n E2B InstructedGoogleScore55.10%Percentile25.00%Participants5EvidenceCEvaluatedSep 8, 2026
Rank05ModelGOGemma 3n E2B Instructed LiteRT (Preview)GoogleScore55.10%Percentile0.00%Participants5EvidenceCEvaluatedSep 8, 2026

Global-MMLU Highlights

The leading models and scores on this benchmark.

Global-MMLU Score Distribution

A closer view of the leading scores on this benchmark.

Global-MMLU

The Top AI Models for Global-MMLU

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

What is Global-MMLU?

What Global-MMLU measures and how its scores work.

Global-MMLU is a language benchmark covering 42 languages that addresses cultural and linguistic biases in evaluation.

It measures performance using the Score metric, reported as a ratio.

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

Family
Global-MMLU
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 Global-MMLU.

Which model scores highest on Global-MMLU?

MiMo-V2.5-Pro is currently ranked first with 83.60%.

What are the top three models on Global-MMLU?

The current leaders are MiMo-V2.5-Pro (83.60%), Gemma 3n E4B Instructed (60.30%), and Gemma 3n E4B Instructed LiteRT Preview (60.30%).

Which Global-MMLU 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 Global-MMLU 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 Global-MMLU measure?

It measures performance using the Score metric, reported as a ratio.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

5 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-Pro83.60%
Rank #2Gemma 3n E4B Instructed60.30%
Rank #3Gemma 3n E4B Instructed LiteRT Preview60.30%
Rank #4Gemma 3n E2B Instructed55.10%

Ranking basisThis global-mmlu 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
    83.60%
    Price
    $0.44 input / $0.87 output per 1M tokens
    Speed
    Up to 5.27 tok/s via DeepInfra

    Strengths

    • Ranks #1 of 5 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Global-MMLU, not total model capability
  2. 02
    GO
    Gemma 3n E4B InstructedGoogle
    Score
    60.30%

    Strengths

    • Ranks #2 of 5 compared models
    • 75th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Global-MMLU, not total model capability
  3. 03
    GO
    Google
    Score
    60.30%

    Strengths

    • Ranks #3 of 5 compared models
    • 50th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Global-MMLU, not total model capability
  4. 04
    GO
    Google
    Score
    55.10%

    Strengths

    • Ranks #4 of 5 compared models
    • 25th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Global-MMLU, not total model capability
  5. 05
    GO
    Google
    Score
    55.10%

    Strengths

    • Ranks #5 of 5 compared models
    • 0th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Global-MMLU, not total model capability

Selection summary

Best AI Models for Global-MMLU

MiMo-V2.5-Pro currently leads Global-MMLU with 83.60%. 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.

Gemma 3n E4B Instructed LiteRT Preview
Gemma 3n E2B Instructed
Gemma 3n E2B Instructed LiteRT (Preview)
Benchmark rank #1MiMo-V2.5-Pro83.60% · $0.44 input / $0.87 output per 1M tokens
Benchmark rank #2Gemma 3n E4B Instructed60.30%
Benchmark rank #3Gemma 3n E4B Instructed LiteRT Preview60.30%