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 Oct 23, 2026
Models8
Model coverage8
MetricScore
EvidenceB
Global-MMLU Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAN | Score94.30% | Percentile100.00% | Participants8 | EvidenceC | Evaluated |
| Rank02 | ModelAN | Score92.10% | Percentile85.71% | Participants8 | EvidenceC | Evaluated |
| Rank03 | ModelAN | Score87.80% | Percentile71.43% | Participants8 | EvidenceC | Evaluated |
| Rank04 | ModelXI | Score83.60% | Percentile57.14% | Participants8 | EvidenceC | Evaluated |
| Rank05 | ModelGO | Score60.30% | Percentile42.86% | Participants8 | EvidenceC | Evaluated |
| Rank06 | ModelGO | Score60.30% | Percentile28.57% | Participants8 | EvidenceC | Evaluated |
| Rank07 | ModelGO | Score55.10% | Percentile14.29% | Participants8 | EvidenceC | Evaluated |
| Rank08 | ModelGO | Score55.10% | Percentile0.00% | Participants8 | EvidenceC | Evaluated |
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.
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?
Claude Opus 5.5 is currently ranked first with 94.30%.
What are the top three models on Global-MMLU?
The current leaders are Claude Opus 5.5 (94.30%), Claude Sonnet 5.5 (92.10%), and Claude Haiku 5.5 (87.80%).
Which Global-MMLU model has the lowest official input price?
Claude Haiku 5.5 has the lowest matched official input price at $0.10 input / $0.50 output per 1M tokens.
Which models are fastest among Global-MMLU results?
The fastest matched records are Claude Sonnet 5.5 (42.00 tok/s via Anthropic) and Claude Opus 5.5 (12.33 tok/s via Anthropic).
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.