Omnilingual-Gaia2
Muse Glimmer 60.4% Only in system cards 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 2026-08-11.
- Level
- University Undergraduates and entry-level professionals
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Agent task Many steps in a terminal, browser, desktop, app, game or robot.
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%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Muse Glimmer | 60.4% | Oct 2026 | Model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Labs report it only in system cards
We read the headline results of 479 launch posts from 51 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 |
|---|---|---|---|---|
| 19 Oct 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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