DisasterBench - ReAct: leaderboard
Metric: Exact-match accuracy (%) over the 233 DisasterBench planning tasks (35 single-tool, 166 chain and 32 branching workflows over 26 disaster-response tools): a plan counts only when every step matches the ground truth in tool identity, parameter bindings and inter-step dependencies; planning method: reasoning interleaved with tool selection over the current workflow state (temperature 0); higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 14 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3.1 Pro (Preview) | 69.96 |
| 2 | Qwen 3.5 9B | 65.67 |
| 3 | GPT-5.4 | 64.38 |
| 4 | Gemma 4 31B | 62.23 |
| 5 | Qwen 3 Max | 62.23 |
| 6 | DeepSeek V3.2 | 61.8 |
| 7 | Qwen 3 Max (Thinking) | 61.37 |
| 8 | Qwen 3.5 27B | 59.23 |
| 9 | DeepSeek R1 | 56.22 |
| 10 | Ministral 3 14B | 50.64 |
| 11 | Llama 3.3 70B | 38.63 |
| 12 | Llama 3.1 8B | 26.61 |
Interactive version: theaggregate.ai/benchmark?slug=disasterbench-react · How It Works · Data refreshed daily, snapshot 2026-10-07.