Benchmarks / Agentic

CUA-bench

Computer-use agents playing commercial video games through keyboard and mouse input, with half the titles held out.

9models
–Open Index weight
2026-10-13last updated
Vals AIpublisher

CUA-bench

Higher is better · best effort per model

Chart settings
9 of 9 selected

full table below

#ModelEffortScoreCost / taskHarness
1GPT-6 Astramax19.2%$1821.37codex
2Opus 5.5max14.0%$188.04claude-code
3Fable 5.1max13.2%$323.78claude-code
4Opus 5max9.0%$232.23claude-code
5GPT-5.6 Solmax8.3%$206.99codex
6Wondermax7.2%$597.21muse-code
7Muse Spark 1.3max5.8%$143.48muse-code
8Gemini 4high4.8%$193.78antigravity
9Gemini 3.8 Flashhigh4.2%$280.03google-computer-use