ReactBench: leaderboard

ReactBench evaluates large language model agents on realistic React UI implementation tasks. The inputs are text. The pinned metric is Pass@1 (%), measuring first-attempt success, with the source also reporting 95% confidence intervals. Source: BenchmarkList’s attributed result table.

Metric: Pass@1 (%). Source: benchmarklist.com. Saturation forecast: Around September 2028. 72 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.6 Sol (Max)46.7#22 (GPT-5.6 Sol)
2Claude Fable 5.1 (Max)45.6#10 (Claude Fable 5.1)
3Claude Fable 5.1 (xHigh)44.1#10 (Claude Fable 5.1)
4Claude Fable 5 (Max)43.6#20 (Claude Fable 5)
5Claude Opus 5 (Max)42.1#16 (Claude Opus 5)
6GPT-5.6 Sol (xHigh)42.1#22 (GPT-5.6 Sol)
7Claude Opus 5 (High)42.1#16 (Claude Opus 5)
8Claude Fable 5 (xHigh)42.1#20 (Claude Fable 5)
9GPT-5.6 Terra (Max)40.5#40 (GPT-5.6 Terra)
10Claude Fable 5.1 (High)40.5#10 (Claude Fable 5.1)
11Claude Fable 5 (High)39#20 (Claude Fable 5)
12GPT-5.6 Sol (High)37.4#22 (GPT-5.6 Sol)
13GPT-5.6 Terra (xHigh)37.4#40 (GPT-5.6 Terra)
14GPT-5.6 Terra (High)36.9#40 (GPT-5.6 Terra)
15Claude Opus 5 (xHigh)36.4#16 (Claude Opus 5)

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=reactbench · How It Works · Data refreshed daily, snapshot 2026-11-05.