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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.

19 models · 19 results · data as of 2026-10-29 · benchmarks.bio ↗

Leaderboard

Chart settings
19 of 19 selected
Opus 5.5 max

All results

19 rows
#ModelEffortScore
1Opus 5.5max55.2%
2Sonnet 5.5max50.7%
3Opus 5max47.4%
4GPT-6 Astramax46.8%
5Grok 4.6max42.5%
6Grok 4.7max42.1%
7GPT-6 Solmax42.0%
8Opus 4.8max40.7%
9GPT-5.6 Solmax39.7%
10Gemini 3.7 Flashmax37.0%
11DeepSeek V4.1 Flashmax37.0%
12GPT-5.5xhigh36.4%
13Sonnet 5max36.1%
14Gemini 3.8 Flashmax35.5%
15GPT-6 Lunamax32.5%
16Kimi K3max32.4%
17Mistral Large 4.0high29.9%
18GPT-5.6 Lunamax29.4%
19Sonnet 4.6max28.0%