GAIA2 - Ambiguity: leaderboard
GAIA2 (Meta Agents Research Environments) capability slice measuring how well an agent handles ambiguous or underspecified instructions by clarifying or making reasonable assumptions.
Metric: Score (%). Source: huggingface.co. Saturation forecast: Around January 2027. 16 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5 (High) | 51.9 | #98 (GPT-5) |
| 2 | GPT-5 (Low) | 39.6 | #98 (GPT-5) |
| 3 | Claude Sonnet 4 (Thinking) | 27.3 | #199 (Claude Sonnet 4) |
| 4 | Claude Sonnet 4 | 24.2 | #199 |
| 5 | GPT-5 (Minimal) | 20.6 | #98 (GPT-5) |
| 6 | Gemini 2.5 Pro | 18.1 | #152 |
| 7 | DeepSeek V3.1 Terminus | 13.1 | #220 |
| 8 | DeepSeek V3.1 | 11.2 | #264 |
| 9 | Qwen 3 235B A22B (Thinking) | 10 | #313 (Qwen 3 235B A22B) |
| 10 | Grok 4 | 9.4 | #181 |
| 11 | Kimi K2 | 8.3 | #243 |
| 12 | GPT-OSS-120B (High) | 8.3 | #341 (GPT-OSS-120B) |
| 13 | Qwen 3 235B A22B | 6.5 | #313 |
| 14 | GPT-4o | 4.4 | #343 |
| 15 | Llama 4 Maverick | 2.1 | #464 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=gaia2-ambiguity · How It Works · Data refreshed daily, snapshot 2026-10-20.