Omnilingual-Gaia2
Muse Glimmer 60.4% Agents run Gaia2 execution, search, ambiguity and adaptability scenarios translated into 10 languages, graded against the scenario oracle with multilingual judge prompts.
Meta says a correct non-English answer is often scored as a miss without the multilingual judge prompt. Dataset created August 11th, 2026.
- Made by
- Meta (FAIR)
- Released
- August 2026
- Kind
- Chat and instructions in many languages
- Level
- University
- Scored
- Checked automatically
- Answers
- Agent task
- Tasks
- All public
- Last in a system card
- October 2026
- Last model added
- October 2026
Muse Glimmer leads with 60.4%
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
- 1 Muse Glimmer 60.4%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Muse Glimmer | 60.4% | Oct 2026 | Lab model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Labs’ model cards
Labs report it only in system cards
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.
One system card reports it
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Oct 19, 2026 | Muse Glimmer technical report | 60.4 | Omnilingual GAIA2, target mean over 10 languages, high (Tables 2, 5 and 7) | Capabilities |
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