ProductWebBench - Language Task 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 2032. 13 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.83.75#37
2DeepSeek V4 Flash3.25#144
3GPT-5.53#30
4Kimi K32.75#33
5GLM-5.2 FP82.53#196
6Kimi K2.7 Code2.26#92
7Qwen 3.7 Max2.25#79
8DeepSeek V4 Pro Preview2#140
9Qwen 3.6 35B A3B1.8#232
10MiniMax-M31.75#151
11Claude Sonnet 4.61.25#94
12Gemini 3.5 Flash1.25#63

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

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