Artificial Analysis Cyber Index
Mistral Large 4 (Le Chonk, open weights) 51% 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.
Launched 2026-09-28 with alliance partners including Collinear AI, IBM, NVIDIA and Vercel. Covers defensive work only. Link only, no data import.
Made by Artificial Analysis and the Cyber Index Alliance Released Sep 2026 Finding and exploiting real bugs Tasks kept private Last in a launch post Oct 2026
Last model added Oct 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
- Agent task Many steps in a terminal, browser, desktop, app, game or robot.
1
Model scored in lab cards
1
Launch post lists it, from 1 lab
Mistral Large 4 (Le Chonk, open weights) leads with 51%
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.
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Mistral Large 4 (Le Chonk, open weights) | 51% | Oct 2026 | Model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Reported by the lab in its model card
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.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| 29 Oct 2026 | Mistral Large 4 (Le Chonk, open weights) | 51 | Artificial Analysis Cyber Index |
More in Cybersecurity
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- 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%
- CWE-bench 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.
Gemini 4 Carbon 71% - 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%
- 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%