Skill2-Bench - Low Skill Entropy: 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. This board holds the low skill-entropy tasks, whose skill switches are the easiest; open-ended steps are scored by a Claude-opus-4.7 rubric judge.

Metric: Average per-step score (%; low skill-entropy tasks, the easiest skill switches; 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)77.1#91
2GPT-5.574.6#48
3Claude Opus 4.772.2#75
4Claude Sonnet 4.567.2#244
5Claude Haiku 4.562.3#568
6O4 Mini59.9#354
7Qwen 3 32B46#960
8GPT-5.4 Mini42.6#389
9Qwen 3 8B39.1#1838
10Qwen 3 4B32.4#2297
11OLMo 3 7B (Thinking)12.8#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-low-skill-entropy · How It Works · Data refreshed daily, snapshot 2026-11-12.