AutoPatchBench
Agents write security patches for crashes that a fuzzer found in native code. Fixes are checked by fuzzing and differential debugging.
Introduced with CyberSecEval 4. Built on ARVO, a set of reproducible C and C++ crashes. Run with the autopatch flag.
- Made by
- Meta (PurpleLlama)
- Released
- April 2025
- Kind
- Secure code and review
- Level
- Expert
- Scored
- Checked automatically
- Answers
- Agent task
- Tasks
- All public
- Strongest model tested
- Claude 3.7 Sonnet #118 on the capability index
- Last model added
- April 2025
- Scores refreshed
- November 12th, 2026
Llama 3.3 70B Instruct leads with 11.5% among models released by April 2025
Best score per entry from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders.
The newest model with a score here came out in April 2025, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- Claude Fable 5.2
-
Gemini 4 Carbon
- GPT-6 Astra
- Claude Opus 5.5
- and 16 more
- 1
Llama 3.3 70B Instruct 11.5%
- 2 Claude 3.7 Sonnet 10.6%
- 3
Llama 4 Maverick 10.6%
- 4 GPT-4o (snapshot unspecified) 8.80%
- 5 Claude 3.5 Sonnet (snapshot unspecified) 5.30%
- 6 Gemini 1.5 Pro (snapshot unspecified) 5.30%
Source: Official AutoPatchBench leaderboard
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 11.5% | Dec 2024 | Official leaderboard | |
| 2 | Claude 3.7 Sonnet | 10.6% | Feb 2025 | Official leaderboard | |
| 3 | | 10.6% | Apr 2025 | Official leaderboard | |
| 4 | GPT-4o (snapshot unspecified) | 8.80% | Official leaderboard | ||
| 5 | Claude 3.5 Sonnet (snapshot unspecified) | 5.30% | Official leaderboard | ||
| 6 | Gemini 1.5 Pro (snapshot unspecified) | 5.30% | Official leaderboard |
Number one over time
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official AutoPatchBench leaderboard
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Official AutoPatchBench leaderboard
No lab model card reports it yet
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.
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