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Agentic benchmark
Every model the catalog carries a published CWE-bench v1 value for, ranked by that value.
Defensive vulnerability patching on 120 held-out tasks spanning 73 weakness types.
11 models with a published CWE-bench v1 value, ordered by that value, highest first. Models the source has not scored on this benchmark are not listed — they are unmeasured, not last.
| Rank | Model | Provider | Pass@1 |
|---|---|---|---|
| 1 | 68.0 | ||
| 1 | OpenAI | 68.0 | |
| 1 | xAI | 68.0 | |
What the benchmark measures and how its value is published, from the source’s own record.
CWE-bench v1 is an agentic benchmark published by CWE-bench v1 leaderboard and methodology. Defensive vulnerability patching on 120 held-out tasks spanning 73 weakness types. Its evaluation set is described by the source as audit and patch held-out C/C++, Go, Java, TypeScript/JavaScript, Python, and Rust repositories. The source rates its difficulty as frontier agent evaluation.
Each model's result is published by CWE-bench v1 leaderboard and methodology as pass@1. ModelScale prints that value to 1 decimal place, exactly as published, and never converts or rescales it. This page ranks the 11 models that carry a published value, highest value first; a model the source never scored is left out rather than ranked at zero. The source does not state whether a higher value is the better result, so neither does this page.
| Anthropic |
| 67.0 |
| 5 | Anthropic | 58.0 |
| 6 | xAI | 57.0 |
| 7 | DeepSeek | 55.0 |
| 7 | Meta | 55.0 |
| 9 | Tencent | 53.0 |
| 10 | OpenAI | 52.0 |
| 11 | TMInkling | Thinking Machines Lab | 37.0 |
Evidence key: Observed
Rows are ordered by the value CWE-bench v1 leaderboard and methodology published, highest first. The source does not state whether a higher value is the better result, so this page does not either: for a benchmark that measures a rate of failure, read the table from the bottom.