Benchmarks / Agentic

CheatBench

Uses the published cheating-attempt rate; lower is better. Score: cheating rate. Collected by Jake Boggs' benchmark dashboard.

9models
–Open Index weight
–last updated
boggspublisher

CheatBench

Lower is better · best effort per model

Chart settings
9 of 9 selected

full table below

#ModelEffortScoreCost / taskHarness
1Opus 5.5max11.2%––
2Muse Spark 1.3max39.0%––
3Fable 5.1max45.8%––
4GPT-6 Astramax47.4%––
5GPT-6.1 Solmax49.3%––
6Kimi K3max70.0%––
7DeepSeek V4 Promax75.1%––
8Gemini 3.8 Flashmax75.2%––
9Grok 4.7max78.0%––