Benchmark Almanac

CWE-bench

Gemini 4 Carbon 71% leads since Oct 2026 In use

Agents audit a repository and write a patch for a security flaw, without being told where the bug is. Covers six programming languages.

V1 has 120 tasks and is not comparable with v0. The held-out set is private to Collinear. Google reports Gemini 4 Argon at 68% pass@1 and says patches must preserve the existing functional and regression tests.

Made by Collinear AI Released Sep 2026 Secure code and review Tasks kept private Last in a launch post Oct 2026 Last model added Oct 2026 Scores refreshed 2 Nov 2026
Level
Expert Specialists with years of training, often over hours of work
Scored
Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
Answers
Code A program or patch run against tests.
12
Models scored on its own leaderboard
3
Launch posts list it, from 1 lab
2
System cards report it, from 1 lab

Gemini 4 Carbon leads with 71%

Best score per model from the benchmark's own leaderboard, read on 2 Nov 2026. Where a model ran with several settings or harnesses, we keep its best. Every run is in the next chart.

  1. 1 Gemini 4 Carbon 71%
  2. 2 GPT-6 Astra 68%
  3. 3 Grok 4.7 68%
  4. 4 Gemini 4 Argon 68%
  5. 5 Claude Opus 5.5 67%
  6. 6 Claude Fable 5.1 58%
  7. 7 Grok 4.6 57%
  8. 8 Muse Spark 1.3 55%
  9. 9 DeepSeek V4.1 Flash 55%
  10. 10 Tencent Hy4 preview 53%
  11. 11 GPT-6 Sol 52%
  12. 12 Inkling 37%
#ModelScoreSettingDateSource
1 Gemini 4 Carbon 71% Antigravity Oct 2026 Official leaderboard
2 GPT-6 Astra 68% Codex Sep 2026 Official leaderboard
3 Grok 4.7 68% opencode Sep 2026 Official leaderboard
4 Gemini 4 Argon 68% Antigravity Sep 2026 Official leaderboard
5 Claude Opus 5.5 67% Claude Code Sep 2026 Official leaderboard
6 Claude Fable 5.1 58% Claude Code Sep 2026 Official leaderboard
7 Grok 4.6 57% opencode Aug 2026 Official leaderboard
8 Muse Spark 1.3 55% opencode Sep 2026 Official leaderboard
9 DeepSeek V4.1 Flash 55% opencode Sep 2026 Official leaderboard
10 Tencent Hy4 preview 53% opencode Aug 2026 Official leaderboard
11 GPT-6 Sol 52% Codex Sep 2026 Official leaderboard
12 Inkling 37% opencode Jul 2026 Official leaderboard

Labs report scores for 3 models in their cards. We plot every source in the charts below.

Of runs with a cost, the best scores 68% for $2.75 a task

Runs on the cost frontier score higher than any run that's cheaper. Claude Opus 5.5 comes within 1 points of the best for $0.79 a task, 3 times cheaper. The costs are the leaderboard's own estimates, so compare them only within this benchmark.

DeepSeek xAI Anthropic Cost frontier One model at each effort level
0% 20% 40% 60% 80% $0.01 $0.10 $1.00 $10 Cost per task, log scale Grok 4.7 Claude Opus 5.5 DeepSeek V4.1 Flash 0% 20% 40% 60% 80% $0.01 $0.10 $1.00 $10 Cost per task, log scale Grok 4.7 Claude Opus 5.5
ModelEffortHarnessScoreCost per taskOutput tokens
Gemini 4 Carbon Antigravity 71%
GPT-6 Astra Codex 68% $2.85
Grok 4.7 opencode 68% $2.75
Gemini 4 Argon Antigravity 68% $6.63
Claude Opus 5.5 Claude Code 67% $0.79
Claude Fable 5.1 Claude Code 58% $3.47
Grok 4.6 opencode 57% $1.09
Muse Spark 1.3 opencode 55% $3.95
DeepSeek V4.1 Flash opencode 55% $0.09
Tencent Hy4 preview opencode 53% $0.47
GPT-6 Sol Codex 52% $0.96
Inkling opencode 37% $3.00

3 models have held number one since its release in Sep 2026

Lab claims count from the day the card came out, independent runs from the model’s release. We draw one row each for the benchmark’s own leaderboard and what labs claim in their cards.

Anthropic OpenAI Google DeepMind
Own leaderboard 3 leaders
Lab claims 3 leaders

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% 2027 Near the ceiling (85%) Gemini 4 Carbon GPT-6 Astra Claude Fable 5.1 Inkling 0% 20% 40% 60% 80% 100% 2027 Near the ceiling (85%) Gemini 4 Carbon Claude Fable 5.1

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
28 Oct 2026 Gemini 4 Carbon 71 CWE-bench
13 Oct 2026 Gemini 4 Argon 68 CWE-bench v1 (Cybersecurity row of headline table)
2 Sep 2026 Gemini 3.8 Flash Cyber 47.2 CWE-Bench (run by Collinear), pass@1

2 system cards report it, from 1 lab

Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.

DateDocumentScoreAs the document writes itSection
13 Oct 2026 Gemini 4 Argon system card 68 CWE-Bench v1 (120 tasks), Pass@1 mean of 4 trials at high reasoning 68% (7.2) Cyber risk
13 Oct 2026 Gemini 4 Argon model card 68 CWE-bench v1, Cybersecurity row (results table, p.5) Cyber risk

More in Cybersecurity

All 111 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%
  • Real-world vulnerability discovery In use Agents search popular open-source codebases to rediscover about 1,200 recent confirmed vulnerabilities across many languages. Reports share discovered. Gemini 4 Argon 86%
  • Artificial Analysis Cyber Index In use Agents do enterprise cyber defense tasks from three benchmarks, CWE-Bench-AA, DeepsecBench-AA and CyberGym-E2E-AA, combined into one success rate. Mistral Large 4 (Le Chonk, open weights) 51%
  • Big Sleep Evaluation (Google) In use Agents search large real codebases such as Chrome and Safari for critical, hard to find vulnerabilities. Scored by pass@1 success rate, run without safety guardrails. Gemini 3.5 Flash Cyber 72%
  • Chrome Production Commit Scanning (Google) In use Models scan commits in Chrome's production pipeline for vulnerabilities that were never publicly disclosed. Scored by pass@1 success rate. Gemini 3.5 Flash Cyber 72%