Model vs Harness - AgentSkillOS 900 Skills: leaderboard

Model vs Harness v1, four matched repetitions, all scheduled attempts included even if runtime fails; official task correctness differs from valid-completion rate. Harnesses: DeepAgents Code 0.1.3, OpenCode 1.15.6, Pi CLI 0.79.3, Codex CLI (unreported version). DeepSeek V4 Flash Preview official API; MiniMax M3, Kimi K2.7 Code, DeepSeek V4 Pro 0813 local SGLang on eight H200 GPUs. Qwen3.6-35B-A3B explicit HF checkpoint. Fixed GPT-5.5 xhigh native Codex subscription and DeepSeek V4 Pro 0813 native Harness SDK 0.1.0rc6 are complete-system references. No unreported reasoning effort inferred.30 tasks, five artifact categories; mean official Task Score over 4 runs; 3,600 seconds/task, 900-second idle guard for streaming; 900-skill stress includes 19 required and 881 distractors. 900 Skills. Metric: Task Score.

Metric: Task Score. Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 13 models tracked.

Top models

#ModelScoreOverall rank
1Model vs Harness Kimi-K2.7-Code (Harness: Pi CLI 0.79.3)90.87
2Model vs Harness MiniMax-M3 (Harness: Pi CLI 0.79.3)89.98
3Model vs Harness GPT-5.5 (xhigh) (Harness: Codex CLI native)89.68
4Model vs Harness Kimi-K2.7-Code (Harness: DeepAgents 0.1.3)84.34
5Model vs Harness MiniMax-M3 (Harness: DeepAgents 0.1.3)83.02
6Model vs Harness Qwen3.6-35B-A3B (Harness: Pi CLI 0.79.3)75.98
7Model vs Harness Qwen3.6-35B-A3B (Harness: Codex CLI unspecified version)71.42
8Model vs Harness Kimi-K2.7-Code (Harness: Codex CLI unspecified version)66.57
9Model vs Harness MiniMax-M3 (Harness: OpenCode 1.15.6)64.08
10Model vs Harness Kimi-K2.7-Code (Harness: OpenCode 1.15.6)62.87

Interactive version: theaggregate.ai/benchmark?slug=model-vs-harness-agentskillos-900-skills · How It Works · Data refreshed daily, snapshot 2026-10-27.