ResearchNov 2, 2026, 7:00 PM EST

Collinear AI releases CWE-bench v2 with 100 security tasks

Collinear AI has published CWE-bench v2, a public benchmark of 100 security tasks covering 91 different weakness classes, announced on the Hugging Face blog. Each task gives an agent a checkout of a real open-source repository and a short instruction to find and fix a vulnerability without breaking existing functionality, and all scoring is programmatic, so results are deterministic and reproducible at no extra cost. A held-out set is available by request. The public set, grader and harness are open, with every task shipped as a Dockerized Harbor environment and tagged as an RL environment that can also reward training defensive agents. On the project's leaderboards, Gemini 4 Argon leads with 67.8% pass@1 and 81.0% pass@4, just ahead of Claude Opus 5.5, and 95 tasks are solved by at least one of the 11 evaluated models.

Why it matters

People picking a coding model get a reproducible, programmatic way to see whether it can actually locate and fix real security bugs, not just match a familiar pattern. Because the same verifiers are packaged as RL environments, they can also be used to train defensive agents.

Sources

Written by AIToolMaps from the source above and checked against it sentence by sentence.

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