Updated daily at 05:00 UTC
Benchmarks
Multilingual
Knowledge, reasoning and translation quality in languages other than English, including low-resource ones.
How the score works
A model's score is built only from results that someone other than its maker ran.
- The scoring set is the benchmarks chosen for this specialty. A benchmark takes part only when at least 5 models have an independent or third-party result on it.
- Each result is rescaled to 0 to 1, and a model's best setting counts.
- The score is the average over the benchmarks a model has, times 100.
- A model ranks only when it has results on enough of them. The rest show "Not enough independent results yet".
- Self-reported results are shown but never counted.
Method: category-2026-09-29.1
Scoring set and effective set
Scoring set: MultiNRC (Multilingual Native Reasoning Challenge).
Effective set (used for the score today): none yet.
- MultiNRC (Multilingual Native Reasoning Challenge): no importable independent results yet
All benchmarks
- Global-MMLU-LiteActiveSaturated0 results
- MMLU-ProXActiveNear-ceiling0 results
- MMMLU (Multilingual MMLU)ActiveSaturated0 results
- MultiNRC (Multilingual Native Reasoning Challenge)ActiveHeadroomCounts toward the score0 results
- WMT24++ActiveNear-ceiling0 results