BlogLLM Benchmark Scores as Published, Side by Side
MILU (Multi-task Indic Language Understanding): Results as Published
Every result the catalog holds for MILU (Multi-task Indic Language Understanding): 7 models from 1 developer, read from 4 pages. Each number is as printed by the company named beside it; nothing is ranked or rescored. Models are listed by developer, newest first.
Area MultilingualMaintainer Verma et al. (2024), MILU authorsIntroduced 2024Data version 2026103001, as of 2026-10-30
Culturally grounded knowledge comprehension across 11 languages: ten Indic languages and English.
Not checked against a maintainer's page.
MILU
| Model | Value | Printed by | Setup as printed |
|---|---|---|---|
| Claude Haiku 5.5Anthropic, released 2026-10-07 | 87.6% | Anthropic, Claude Haiku 5.5 System Cardchecked 2026-10-19 | Effort: max |
| Claude Sonnet 5.5Anthropic, released 2026-09-28 | 91.6% | Anthropic, Claude Sonnet 5.5 System Cardchecked 2026-10-19; printed on 1 more page | - |
| Claude Opus 5.5Anthropic, released 2026-09-22 | 93.1% | Anthropic, Claude Opus 5.5 System Cardchecked 2026-10-25; printed on 2 more pages | Effort: max |
| Claude Fable 5.1Anthropic, released 2026-09-01 | 93% | Anthropic, System Card: Claude Fable 5.1 & Claude Mythos 5.1checked 2026-10-25; printed on 3 more pages | Effort: max |
| Claude Opus 5Anthropic, released 2026-07-24 | 92.1% | Anthropic, Claude Opus 5.5 System Cardchecked 2026-10-25; printed on 1 more page | Effort: max |
| Claude Sonnet 5Anthropic, released 2026-06-30 | 89.3% | Anthropic, Claude Sonnet 5.5 System Cardchecked 2026-10-19; printed on 2 more pages | - |
| Claude Fable 5Anthropic, released 2026-06-09 | 92.9% | Anthropic, System Card: Claude Fable 5.1 & Claude Mythos 5.1checked 2026-10-25 | Effort: max |
Every number here is read from the same catalog file as the benchmark table, data version 2026103001, and is the number the table shows for that model and test. Where one page printed a model under several setups, each value is listed. The catalog is public in armanobosyan/sugra-llm-benchmarks; a wrong number can be reported from the table, with Report an error under the value, or as an issue in that repository.