Benchmark Almanac

AutoPatchBench

Llama 3.3 70B Instruct 11.5% leads since April 2025
Not in model cards

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.

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
6
Entries on its own leaderboard, 3 models we track

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:

  1. 1 Llama 3.3 70B Instruct 11.5%
  2. 2 Claude 3.7 Sonnet 10.6%
  3. 3 Llama 4 Maverick 10.6%
  4. 4 GPT-4o (snapshot unspecified) 8.80%
  5. 5 Claude 3.5 Sonnet (snapshot unspecified) 5.30%
  6. 6 Gemini 1.5 Pro (snapshot unspecified) 5.30%

Source: Official AutoPatchBench leaderboard

#EntryScoreSettingDateSource
1 Llama 3.3 70B Instruct 11.5% Dec 2024 Official leaderboard
2 Claude 3.7 Sonnet 10.6% Feb 2025 Official leaderboard
3 Llama 4 Maverick 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.

Meta
Own leaderboard Not tested since Apr 2025

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.

On the benchmark’s own leaderboard
0% 20% 40% 60% 80% 100% 2025 Near the ceiling (85%) Llama 3.3 70B Instruct 0% 20% 40% 60% 80% 100% 2025 Near the ceiling (85%) Llama 3.3 70B Instruct

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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