ProductWebBench - Stage Success: leaderboard

ProductWebBench: frozen frontend product changes with incremental milestones, 12 turns per unit and cumulative browser gate replay. Up to 400 language and 400 vision attempts; Table 1 coverage varies from 385 to 400 and text-only models lack vision results. The available-task mean uses each model’s actual coverage. Whole-task success requires all stages and final gates. FP8, Preview and Code identities remain distinct. Rate (%).

Metric: Rate (%). Source: arxiv.org. Saturation forecast: Around 2031. 13 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.542.45#30
2Claude Opus 4.841.69#37
3GLM-5.2 FP839.9#196
4Kimi K339.3#33
5DeepSeek V4 Flash38.24#144
6Kimi K2.7 Code38.1#92
7DeepSeek V4 Pro Preview37.82#140
8Qwen 3.7 Max37.32#79
9MiniMax-M336.42#151
10Gemini 3.5 Flash34.88#63
11Qwen 3.6 35B A3B33.46#232
12Claude Sonnet 4.632.65#94

No result here: #5 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=productwebbench-stage-success · How It Works · Data refreshed daily, snapshot 2026-10-25.