Benchmarks / Reasoning

benchmarks.bio Expected Performance

Mean IRT-predicted pass rate across automatically discovered evaluations, excluding refusal. Uses the best mapped harness per model and evaluation and requires observed coverage in every domain; the aggregate counts as one benchmark. Score: IRT expected performance across evaluations. Collected by Jake Boggs' benchmark dashboard.

13models
–Open Index weight
–last updated
boggspublisher

benchmarks.bio Expected Performance

Higher is better · best effort per model

Chart settings
13 of 13 selected

full table below

#ModelEffortScoreCost / taskHarness
1GPT-6 Astramax53.1%––
2Opus 5max50.8%––
3Grok 4.6max47.8%––
4Opus 4.8max46.0%––
5GPT-5.6 Solmax43.4%––
6Gemini 3.7 Flashmax43.2%––
7DeepSeek V4.1 Flashmax42.9%––
8Gemini 3.5 Flashxhigh42.2%––
9Sonnet 5max42.0%––
10Grok 4.5max41.7%––
11GPT-5.6 Terramax41.5%––
12GPT-5.5xhigh41.2%––
13GPT-5.6 Lunamax32.9%––