Shopping Reasoning Bench: leaderboard

Metric: Weighted pass rate (%) over all 525 expert-authored shopping missions scored by importance-weighted binary rubrics written by retail domain experts (weighted pass rate); each model answers with its native web search tool at default inference settings and a Claude Sonnet 4.5 judge (temperature 0) grades every rubric; mission-weighted mean of the single- and multi-turn subsets; higher is better. Source: arxiv.org. Saturation forecast: Around December 2026. 9 models tracked.

Top models

#ModelScore
1Gemini 3.1 Pro (Preview)77.2
2Claude Opus 4.777
3Gemini 3 Flash75.5
4Gemini 3.1 Flash Lite72.4
5GPT-5.470.2
6Claude Sonnet 4.568.6
7GPT-5.4 Mini63.9
8GPT-5.4 Nano63.4
9Claude Haiku 4.557.4

Interactive version: theaggregate.ai/benchmark?slug=shopping-reasoning-bench · How It Works · Data refreshed daily, snapshot 2026-09-29.