Benchmarks / Reasoning

PerceptionBench

Uses the first-party overall atomic visual-perception accuracy. Score: overall atomic visual-perception accuracy. Collected by Jake Boggs' benchmark dashboard.

15models
–Open Index weight
–last updated
boggspublisher

PerceptionBench

Higher is better · best effort per model

Chart settings
15 of 15 selected

full table below

#ModelEffortScoreCost / taskHarness
1GPT-5.6 Solmax59.7%––
2Kimi K3max58.5%––
3Fable 5max57.2%––
4Gemini 3.1 Prohigh56.2%––
5GPT-5.5xhigh55.8%––
6Gemini 3.5 Flashxhigh52.0%––
7Qwen 3.7 Plushigh51.1%––
8Qwen 3.5 397B-A17Bmax47.5%––
9Opus 4.8max47.2%––
10Kimi K2.6max42.6%––
11Grok 4.5max41.0%––
12Gemma 4 31Bmax40.7%––
13GLM 5 Vhigh39.6%––
14MiniMax M3max33.1%––
15GLM 4.6 Vlow32.5%––