Claw-SWE-Bench (GenericAgent): leaderboard
Claw-SWE-Bench (2026) compares general-purpose agent harnesses (claws) on SWE-bench-style issue resolution: 350 multilingual GitHub issues run under a fixed prompt, time budget, patch extraction and evaluator. This board is Pass@1 in percent with the GenericAgent harness; higher is better.
Metric: Pass@1 (%) on the 350 GitHub issue-resolution instances of Claw-SWE-Bench (8 languages, 43 repositories, from SWE-bench-Multilingual and SWE-bench-Verified-Mini after future-commit cleanup); full adapter, identical prompt, 60-minute per-instance budget, one run, SWE-bench evaluator; genericagent harness. Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 2 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GenericAgent + GLM-5.1 | 63.1 | |
| 2 | GenericAgent + Qwen3.6-Flash | 38.6 |
Interactive version: theaggregate.ai/benchmark?slug=claw-swe-bench-genericagent · How It Works · Data refreshed daily, snapshot 2026-11-13.