AARRI-Bench (Claude Code) - Hands-on: leaderboard
Metric: Task success rate (%) under the 0/1 reward on the hands-on tasks: coding, experimental setup and data processing; Harbor containerized runs, Claude Code 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 February 2028. 6 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Opus 4.7 | 57.1 |
| 2 | Qwen 3.6 Plus | 50 |
| 3 | MiniMax-M2.7 | 50 |
| 4 | GPT-5.3 Codex | 50 |
| 5 | Claude Sonnet 4.6 | 35.7 |
| 6 | Kimi K2.6 | 35.7 |
Interactive version: theaggregate.ai/benchmark?slug=aarri-bench-claude-code-hands-on · How It Works · Data refreshed daily, snapshot 2026-09-29.