Benchmark Almanac

Chrome Production Commit Scanning (Google)

Gemini 3.5 Flash Cyber 72% leads since July 2026
In use

Models scan commits in Chrome's production pipeline for vulnerabilities that were never publicly disclosed. Scored by pass@1 success rate.

The undisclosed vulnerabilities keep it free of contamination. Google says newer competitor models after Claude Opus 4.6 refuse the tasks.

Released
July 2026
Kind
Finding and exploiting real bugs
Level
Expert
Scored
Checked automatically
Answers
Agent task
Tasks
Kept private
Strongest model tested
Claude Opus 4.6 #37 on the capability index
Last in a launch post
July 2026
Last model added
July 2026
Scores refreshed
November 12th, 2026
1
Model scored in lab cards
1
Launch post lists it, from 1 lab

Gemini 3.5 Flash Cyber leads with 72%

Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.

Gemini 3.5 Flash Cyber leads with 72% across all independent runs

Best score per model across the official leaderboard, Epoch AI’s own runs and any board Epoch AI copied. Each bar and row names its source.

  1. 1 Gemini 3.5 Flash Cyber 72%

Source: Labs’ model cards

Source: Official Chrome Production Commit Scanning (Google) leaderboard

#ModelScoreSettingDateSource
1 Gemini 3.5 Flash Cyber 72% Jul 2026 Lab model card
#ModelScoreSettingDateSource
1 Gemini 3.5 Flash Cyber 72% pass@1 Jul 2026 Official leaderboard
2 Gemini 3.5 Flash 55% pass@1 May 2026 Official leaderboard
3 Claude Opus 4.6 54% pass@1 Feb 2026 Official leaderboard

The benchmark's own leaderboard has 3 models. Switch the scores above to rank them together.

Number one over time 2 models have held number one across all independent runs since its release in July 2026

Lab claims count from the day the card came out, independent runs from the model’s release.

Google DeepMind
Own leaderboard Not tested since Jul 2026

Source: Official Chrome Production Commit Scanning (Google) 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 Reported by the lab in its model card Best so far
0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) Gemini 3.5 Flash Cyber Gemini 3.5 Flash Claude Opus 4.6 0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) Gemini 3.5 Flash Cyber Gemini 3.5 Flash

Sources: Official Chrome Production Commit Scanning (Google) leaderboard and labs’ model cards

One lab put it in a launch post in the last six months

Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.

Google DeepMind
DateLaunch postScoreAs the post writes it
Jul 21, 2026 Gemini 3.5 Flash Cyber 72 Success Rate on Chrome Production Commit Scanning Pipeline (pass@1)

One lab claim next to the leaderboard

Each score a lab reported for its own model, beside the same model's best score on the leaderboard. Gaps mostly come from different harnesses, effort levels and task subsets. 1 of them match, which usually means one side copied the other. Every benchmark.

Model Lab says Board says Gap
Gemini 3.5 Flash Cyber 72% Success Rate on Chrome Production Commit Scanning Pipeline (pass@1) 72% Leaderboard, pass@1 Same

More in Cybersecurity

All 115 in Cybersecurity
  • ExploitGym In use 869 real-vulnerability exploit-development tasks (userspace, V8, Linux kernel). Success means capturing a flag through the intended vulnerability. GPT-6 Astra 42.4%
  • ExploitBench In use 41 recent V8 JavaScript-engine N-day vulnerabilities. Progress measured by 16 grader-verified capability flags across five tiers. GPT-6 Astra 100%
  • CyberBench v1.1 (Vals) In use Agents work on OSS-Fuzz memory-safety bugs from ARVO images in two tracks. They write a proof-of-concept input that crashes the target, or patch the source so the crash stops and tests still pass. Muse Wonder 80.4%
  • SRE-Bench In use Software reverse engineering without source: 262 binary instances from 19 private programs, each with six graded objectives. GPT-6 Astra 56.9%
  • CyScenarioBench In use Scenario-based long-horizon security challenges in sandboxes, organized in task, scenario and campaign tiers. Evaluation set kept private. Gemini 4 Argon 100%
  • ExploitBench - Internal Port In use Agents develop working exploits for recently disclosed vulnerabilities to limit contamination. Scored as arbitrary code execution success rate. GPT-6 Cyber 42%