Multi-task Indic Language Understanding Benchmark (MILU)
We show this table for reference; we do not rank on it.
Culturally grounded knowledge comprehension across ten Indic languages and English.
Benchmark score on MILU — September 27, 2026
We compile the MILU rows from provider self-reports. Claude Opus 5.5 leads the table at 93.1%, followed by Claude Opus 5 (92.1%). We do not use these results to rank models overall.
Claude Opus 5.5
Anthropic
Claude Opus 5
Anthropic
2 modelsMultilingualRefreshingDisplay onlyUpdated September 27, 2026
Benchmark score table (2 models)
ScoreAbout MILU
Year
2024
Tasks
Knowledge tasks across 11 languages
Format
Average accuracy
Difficulty
Multilingual Indic knowledge
Anthropic reports average accuracy over five max-effort trials without tools or a custom system prompt.
Freshness and provenance
Version
MILU 2024
Refresh cadence
Annual
Staleness state
Refreshing
Question availability
Public benchmark set
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.
Questions
What does MILU measure?
Culturally grounded knowledge comprehension across ten Indic languages and English.
Which model scores highest on MILU?
Claude Opus 5.5 by Anthropic currently leads with a score of 93.1% on MILU.
How many models are evaluated on MILU?
2 AI models have been evaluated on MILU on BenchLM.
Compare top models on MILU
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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