LoopsBench - Vendor Loops - Resolve Rate: leaderboard

LoopsBench (arXiv 2608.00267v2, Table 2 within-family panel): 12 models on 112 dependency-structured long-horizon coding tasks, each run in its vendor's loop (GPT in Codex, Claude in Claude Code, Qwen in Qwen Code). Share of tasks where every released test, regression obligations included, passes at task end after outer-loop continuation rounds on the preserved workspace; percent, higher is better.

Metric: Resolve rate (%; with outer-loop continuation). Source: arxiv.org. Saturation forecast: Around June 2027. 12 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.725#51
2GPT-5.521.43#33
3Claude Opus 4.517.86#87
4GPT-5.213.39#115
5Claude Sonnet 4.512.5#148
6Qwen 3.6 Plus9.82#124
7GPT-58.04#105
8Qwen 3.5 Plus8.04#133
9Claude Sonnet 47.14#207
10GPT-4o3.57#357
11Qwen 3 Max1.79#213
12Qwen 2.5 72B0#512

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

Interactive version: theaggregate.ai/benchmark?slug=loopsbench-vendor-loops-resolve-rate · How It Works · Data refreshed daily, snapshot 2026-11-05.