Model vs Harness - ClawMark Full Success Best-of-4: 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.100 tasks; full success requires exact score 1; distinct from continuous partial credit. Metric: Full Success (%).

Metric: Full Success (%). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 13 models tracked.

Top models

#ModelScoreOverall rank
1Model vs Harness MiniMax-M3 (Harness: OpenCode 1.15.6)28
2Model vs Harness MiniMax-M3 (Harness: Pi CLI 0.79.3)28
3Model vs Harness GPT-5.5 (xhigh) (Harness: Codex CLI native)28
4Model vs Harness MiniMax-M3 (Harness: Codex CLI unspecified version)22
5Model vs Harness Kimi-K2.7-Code (Harness: OpenCode 1.15.6)22
6Model vs Harness MiniMax-M3 (Harness: DeepAgents 0.1.3)21
7Model vs Harness Kimi-K2.7-Code (Harness: DeepAgents 0.1.3)20
8Model vs Harness Qwen3.6-35B-A3B (Harness: Pi CLI 0.79.3)20
9Model vs Harness Qwen3.6-35B-A3B (Harness: OpenCode 1.15.6)11
10Model vs Harness Qwen3.6-35B-A3B (Harness: DeepAgents 0.1.3)10

Interactive version: theaggregate.ai/benchmark?slug=model-vs-harness-clawmark-full-success-best-of-4 · How It Works · Data refreshed daily, snapshot 2026-10-27.