Skill2-Bench: leaderboard

Skill2-Bench (2026) chains 2 to 10 dependent steps that switch between reasoning skills across nine domains and scores the average per-step correctness in percent; higher is better. Mean of the low, medium and high skill-entropy levels; open-ended steps are scored by a Claude-opus-4.7 rubric judge.

Metric: Average per-step score (%; mean of the low, medium and high skill-entropy levels; held-out test set of 300 cross-skill long-horizon tasks of 2 to 10 dependent steps over 558 skills in nine verifiable and open-ended domains, the whole task given in one prompt; verifiable steps graded for correctness, open-ended steps scored 0 to 1 by a Claude-opus-4.7 rubric judge; four samples, temperature 0.7 for open-weight models and provider defaults for API models). Source: arxiv.org. Saturation forecast: Around February 2027. 12 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)74.8#91
2GPT-5.572.7#48
3Claude Opus 4.770#75
4Claude Sonnet 4.562.9#244
5O4 Mini59.8#354
6Claude Haiku 4.557.8#568
7Qwen 3 32B42.7#960
8GPT-5.4 Mini41.5#389
9Qwen 3 8B34.6#1838
10Qwen 3 4B27.8#2297
11OLMo 3 7B (Thinking)11#3939 (OLMo 3 7B)

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=skill2-bench · How It Works · Data refreshed daily, snapshot 2026-11-12.