Vals AI SkillsBench: leaderboard

An agent completes a task with a Skill available, a folder of procedural instructions, scripts and resources. Tasks span eight domains, from software engineering and cybersecurity to natural science, finance and office work, each with a deterministic verifier. Vals AI runs three trials per task with the OpenHands CLI agent and reports the with-skills condition, averaged over trials then tasks; higher is better.

Metric: Accuracy (%). Source: www.vals.ai. Saturation forecast: Around May 2028. 35 models tracked.

Top models

#ModelScoreOverall rank
1DeepSeek V4.1 Flash (High)69.8#36 (DeepSeek V4.1 Flash)
2Grok 4.5 (High)66.03#48 (Grok 4.5)
3Gemini 3.7 Flash (High)65.89#23 (Gemini 3.7 Flash)
4GPT-5.562.55#31
5GPT-5.5 (xHigh)62.21#31 (GPT-5.5)
6Claude Fable 5.1 (Max)61.55#9 (Claude Fable 5.1)
7GPT-5.6 Luna60.45#68
8Claude Opus 5 (Max)60.44#12 (Claude Opus 5)
9Claude Opus 4.8 (Max)59.23#37 (Claude Opus 4.8)
10Muse Spark 1.1 (xHigh)59.19#52 (Muse Spark 1.1)
11GPT-5.6 Terra58.9#41
12Gemini 3.8 Flash (High)57.98#21 (Gemini 3.8 Flash)
13Grok 4.6 (High)55.77#26 (Grok 4.6)
14Qwen 3.7 Plus54.3#92
15GPT-5.6 Sol (Max)54.1#19 (GPT-5.6 Sol)

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=vals-ai-skillsbench · How It Works · Data refreshed daily, snapshot 2026-10-20.