PostEDA-Bench (ReAct) - PPA-Mono: leaderboard
Metric: Success rate (%; 35 single-objective PPA tasks, mean of 5 temperature-0 runs per task, ReAct agent). Source: arxiv.org. Saturation forecast: Around December 2026. 8 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemma 4 31B (IT) (Thinking) | 64.56 |
| 2 | Gemini 3 Flash (Preview) | 48.56 |
| 3 | GPT-5 Mini | 42.28 |
| 4 | GPT-5 | 39.42 |
| 5 | Qwen 3.5 122B A10B | 39.42 |
| 6 | Qwen 3.5 27B | 30.85 |
| 7 | Qwen 3.5 9B | 25.71 |
| 8 | DeepSeek V3.2 | 1.14 |
Interactive version: theaggregate.ai/benchmark?slug=posteda-bench-react-ppa-mono · How It Works · Data refreshed daily, snapshot 2026-09-25.