reasoning benchmark
GAIA2 evaluates general-purpose AI agents on real-world, multi-step questions that require reasoning, tool use, and information retrieval.
Updated Aug 17, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelME | Score43.3% | Percentile100.0% | Participants1 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis gaia2 AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Muse Glimmer-30B currently leads GAIA2 with 43.3%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What GAIA2 measures and how its scores work.
GAIA2 evaluates general-purpose AI agents on real-world, multi-step questions that require reasoning, tool use, and information retrieval.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about GAIA2.
Muse Glimmer-30B is currently ranked first with 43.3%.
GAIA2 evaluates general-purpose AI agents on real-world, multi-step questions that require reasoning, tool use, and information retrieval.
Yes. Higher values rank better for this benchmark.
1 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.