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# Claude Mythos Preview (Early) scored 74% on ExploitBench's offensive cyber tasks, the highest of 9 models tested
- URL: https://aiadoption.org/data/exploitbench-ai-cyber-exploits/
- Published: 2026-10-31T11:11:10.000Z
- Updated: 2026-11-03T20:40:05.000Z
- Description: On ExploitBench, which measures how far AI agents get in turning vulnerabilities into working exploits, Claude Mythos Preview (Early) (Anthropic) scored 74%, ahead of GPT-5.5 at 47%.
- Author: Manu
- Tags: Data, AI Ethics, AI Cybersecurity, #chart, #hub-ethics

74%

ExploitBench mean capability of Claude Mythos Preview (Early) (Anthropic), the highest of 9 models

## What the chart shows

ExploitBench gives AI agents real software vulnerabilities and scores how far they get towards a working exploit, through five levels of reach. Claude Mythos Preview (Early) from Anthropic scored 74% on average, ahead of GPT-5.5 (47%).

Offensive cyber capability is one of the dangerous capabilities AI developers and governments track before releasing models; Cybench, a capture-the-flag test, is in [AI Agent Benchmarks](https://aiadoption.org/data/cybench-cybersecurity-agents/).

## Key numbers

| Measure                                     | Value |
| ------------------------------------------- | ----- |
| Claude Mythos Preview (Early) (Anthropic)   | 74%   |
| GPT-5.5 (OpenAI)                            | 47%   |
| Claude Opus 4.7 (no thinking) (Anthropic)   | 26%   |
| Gemini 3.1 Pro Preview (Google DeepMind)    | 26%   |
| Claude Sonnet 4.6 (no thinking) (Anthropic) | 24%   |
| Kimi K2.6 (Moonshot)                        | 18%   |

## How to read it

- Results collected by Epoch AI; each model’s best run is shown. Harnesses and spending limits differ between entries.
- Mean capability averages how far the agent got on each task, so partial progress counts.

**Source:** [Epoch AI](https://aiadoption.org/sources/#epoch-ai), 2026: [Benchmarking Hub](https://epoch.ai/benchmarks?ref=aiadoption.org), read 3 November 2026\. Chart and text by AI Adoption.  
Numbers checked against the published data on 3 November 2026.  
[Download the data (CSV)](https://charts.aiadoption.org/ai-index/csv/exploitbench-ai-cyber-exploits.csv?ref=aiadoption.org) · [Cite this chart](#source)