AARRI-Bench (Mini-SWE-Agent) - Interaction: leaderboard
Metric: Task success rate (%) under the 0/1 reward on the interaction tasks: using research tools and collaborating with human stakeholders over multi-turn exchanges; Harbor containerized runs, Mini-SWE-Agent agent harness; a configuration's tasks without a valid run are left out of its denominator; higher is better. Source: arxiv.org. Saturation forecast: Around December 2026. 8 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Opus 4.7 | 76.2 |
| 2 | DeepSeek V4 Flash | 75 |
| 3 | Qwen 3.6 Plus | 71.4 |
| 4 | MiniMax-M2.7 | 60 |
| 5 | GPT-OSS-120B | 56.2 |
| 6 | Qwen 3 Next 80B A3B Instruct | 56 |
| 7 | Kimi K2.6 | 52.6 |
| 8 | Qwen 3 235B A22B 2507 (Thinking) | 38.1 |
Interactive version: theaggregate.ai/benchmark?slug=aarri-bench-mini-swe-agent-interaction · How It Works · Data refreshed daily, snapshot 2026-09-29.