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HomeBenchmarksreasoningGlobal-MMLU

reasoning benchmark

Global-MMLU

A comprehensive multilingual benchmark covering 42 languages that addresses cultural and linguistic biases in evaluation, with improved translation quality and culturally sensitive question subsets.

Updated Aug 7, 2026

Published models5
Registry coverage5
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

Global-MMLU leaderboard

Sorted by the source-provided rank. Higher score is better according to the registry.

5 rows
Columns

Show columns

1XIMiMo-V2.5-ProXiaomi83.6%100.0%5CAug 7, 2026
2GOGemma 3n E4B InstructedGoogle60.3%75.0%5CAug 7, 2026
3GOGemma 3n E4B Instructed LiteRT PreviewGoogle60.3%50.0%5CAug 7, 2026
4GOGemma 3n E2B InstructedGoogle55.1%25.0%5CAug 7, 2026
5GOGemma 3n E2B Instructed LiteRT (Preview)Google55.1%0.0%5CAug 7, 2026

Score distribution

Top published rows on the benchmark's original scale.

Global-MMLU

Global-MMLU highlights

The top published results on this benchmark's own scale.

Rank #1MiMo-V2.5-Pro83.6%Rank #2Gemma 3n E4B Instructed60.3%Rank #3Gemma 3n E4B Instructed LiteRT Preview60.3%Rank #4Gemma 3n E2B Instructed55.1%

What is Global-MMLU?

Definition and scoring fields from the benchmark registry.

A comprehensive multilingual benchmark covering 42 languages that addresses cultural and linguistic biases in evaluation, with improved translation quality and culturally sensitive question subsets.

Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.

Family
Global-MMLU
Modality
text
Primary category
reasoning
Score direction
higher
LLMBoard eligible
No
Evaluation key
global-mmlu|llm-stats-current

Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.

FAQ

Common questions about Global-MMLU.

Which model scores highest on Global-MMLU?

MiMo-V2.5-Pro is currently ranked first with 83.6%.

What does Global-MMLU measure?

A comprehensive multilingual benchmark covering 42 languages that addresses cultural and linguistic biases in evaluation, with improved translation quality and culturally sensitive question subsets.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

5 unique published model results are currently shown.

Does this benchmark affect the overall score?

This benchmark is preserved as source-native evidence but is not eligible for the current overall score.

Rankings

OverallCodingText ArenaPricing

Modalities

Image GenerationVideo GenerationSpeech-to-TextEmbeddings

Benchmarks

All BenchmarksReasoningMathCoding

Vendors

All VendorsOpenAIAnthropicGoogle
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