MerchantBench (ReAct): leaderboard
Metric: Final net assets (thousand RMB; 365-day order-level simulation of a drop-shipping store grounded in 98,843 real product records, 26 tools for sourcing, listing, pricing and cash flow; the store starts with RMB 2,000 cash and a RMB 1,000 deposit; mean of three runs; the authors minimal ReAct controller over the 26 tools). Source: arxiv.org. Saturation forecast: Around October 2027. 8 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.6 Sol | 40.89 |
| 2 | Claude Opus 4.8 | 31.89 |
| 3 | GLM-5.2 | 25.73 |
| 4 | Kimi K2.6 | 24.99 |
| 5 | Qwen 3.7 Plus | 20.74 |
| 6 | Qwen 3.7 Max | 20.66 |
| 7 | DeepSeek V4 Flash | 14.47 |
| 8 | DeepSeek V4 Pro | 6.56 |
Interactive version: theaggregate.ai/benchmark?slug=merchantbench-react · How It Works · Data refreshed daily, snapshot 2026-09-29.