LoopsBench - Claude Code Loop - Test Pass Rate (Single Segment): leaderboard

LoopsBench (arXiv 2608.00267v2, Table 2 model sweep): eight models from different vendors on 112 dependency-structured long-horizon coding tasks, all run in the Claude Code loop. Mean fraction of released tests passing without outer-loop continuation; percent, higher is better.

Metric: Released-test pass rate (%; without outer-loop continuation). Source: arxiv.org. Saturation forecast: Around January 2028. 8 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.741.18#51
2GPT-5.538.04#33
3Qwen 3.6 Plus36.43#124
4DeepSeek V4 Pro36.07#112
5GLM-5.134.55#109
6Gemini 3.1 Pro (Preview)32.86#64
7Grok 4.1 Fast (Reasoning)23.32#227 (Grok 4.1 Fast)
8Kimi K2.621.27#113

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

Interactive version: theaggregate.ai/benchmark?slug=loopsbench-claude-code-loop-test-pass-rate-single-segment · How It Works · Data refreshed daily, snapshot 2026-11-05.