EComAgentBench - Clarification Rubrics: leaderboard
Metric: Rubric satisfaction (%) on the requirements revealed only through clarification questions, on 662 long-horizon shopping tasks over a catalog of real Amazon products and reviews, where requirements are split across the visible query, a tool-gated user profile and scripted clarification; up to 100 tool calls; graded with typed rubrics by a gemini-3.1-pro-preview judge; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 7 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.4 (Medium) | 70.9 |
| 2 | Claude Opus 4.6 | 68.6 |
| 3 | GPT-5 | 64.9 |
| 4 | Kimi K2.6 | 64.1 |
| 5 | GPT-5 Mini | 60.2 |
| 6 | MiniMax-M2.7 | 59.9 |
| 7 | Qwen 3 30B A3B | 45.4 |
Interactive version: theaggregate.ai/benchmark?slug=ecomagentbench-clarification-rubrics · How It Works · Data refreshed daily, snapshot 2026-09-29.