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Benchmark profile

Global MMLU (GMMLU)

MMLU-style knowledge evaluation across 42 high- and low-resource languages.

Data verified

Benchmark score on GMMLU — July 24, 2026

BenchLM mirrors the published score view for GMMLU. Claude Opus 5 leads the public snapshot at 92.5%. BenchLM does not use these results to rank models overall.

1 modelMultilingualRefreshingDisplay onlyUpdated July 24, 2026

Benchmark score table (1 model)

Score
1
Claude Opus 5Anthropic · Closed
92.5%

About GMMLU

Year

2024

Tasks

Knowledge questions across 42 languages

Format

Average accuracy

Difficulty

Multilingual knowledge

Anthropic reports average accuracy from one max-effort trial without tools or a custom system prompt.

BenchLM freshness & provenance

Version

GMMLU 2024

Refresh cadence

Annual

Staleness state

Refreshing

Question availability

Public benchmark set

RefreshingDisplay only

BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.

FAQ

What does GMMLU measure?

MMLU-style knowledge evaluation across 42 high- and low-resource languages.

Which model scores highest on GMMLU?

Claude Opus 5 by Anthropic currently leads with a score of 92.5% on GMMLU.

How many models are evaluated on GMMLU?

1 AI models have been evaluated on GMMLU on BenchLM.

Last updated: July 24, 2026 · BenchLM version GMMLU 2024