EComAgentBench - Knowledge Reasoning: leaderboard
Metric: Accuracy (%) on the knowledge reasoning (106 tasks) intent of 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: a task is correct when the agent recommends the exact target product or one that satisfies every rubric; higher is better. Source: arxiv.org. Saturation forecast: Around December 2027. 7 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Opus 4.6 | 46.2 |
| 2 | GPT-5.4 (Medium) | 43.4 |
| 3 | Kimi K2.6 | 38.7 |
| 4 | GPT-5 | 34.9 |
| 5 | MiniMax-M2.7 | 34 |
| 6 | GPT-5 Mini | 28.3 |
| 7 | Qwen 3 30B A3B | 17.9 |
Interactive version: theaggregate.ai/benchmark?slug=ecomagentbench-knowledge-reasoning · How It Works · Data refreshed daily, snapshot 2026-09-29.