SWE-Bench Pro V2: A Cleaner, Harder-to-Game Coding Benchmark
Organizations: Scale AI · Reflection AI
Abstract
SWE-Bench Pro is a widely used benchmark of long-horizon software engineering tasks for coding agents. As agents improve, they reach task issues earlier agents never touched and interact with the evaluation environment in ways the original harness did not anticipate. We present SWE-Bench Pro V2, a revised public split built to keep the benchmark accurate as capabilities advance. Agentic audits, expert adjudication and blind re-implementation repaired or retired 480 of the 731 tasks: 23 contracted engineers spent 404 hours, each working in a language they write professionally, and every revised instruction was verified by a second engineer solving the task from the text alone. A hardened protocol restricts network access to the model endpoint and re-grades every patch in a clean container, so agents cannot retrieve upstream fixes or get credit for changes outside their patch. On the 642 V2 tasks frontier agents resolve up to 99.4% while other systems stay clearly separated, and a 51-task Hard split spreads systems from 52.9% to 98.0%. We release the benchmark and distill lessons for maintaining agent benchmarks over time.
Figures & tables
| Category | Description | Rep. | Disc. |
|---|---|---|---|
| Solution leakage | The instruction gives away test or solution detail. | 18 | 4 |
| Spec–test contradiction | The instruction contradicts what the tests check. | 10 | 5 |
| Unstated test requirement | The tests require behaviour, names or files the instruction never states. | 119 | 22 |
| Insufficient tests | The tests miss part of the change or check incidental details instead of behaviour. | 1 | 33 |
| Verifier or environment defect | The grading setup or container decides the score regardless of the solution. | 228 | 19 |
| Miscellaneous | – | 15 | 6 |