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A PRACTICAL GUIDE · 2026 EDITION

AI models for cybersecurity
— what they actually do well.

A vendor-neutral comparison of frontier models for security work.

Updated · 2026-05-22 · ~6 min read

What is Claude Mythos?

Claude Mythos is a generative AI model from Anthropic, released as a gated research preview.

In Anthropic's testing it discovered a 27-year-old bug in OpenBSD and achieved full control-flow hijack on 10 fully-patched targets.

What is Project Glasswing?

Glasswing is Anthropic's restricted-access program for Mythos, gated to ~12 launch partners plus ~40 additional organisations.

Comparison table — frontier models for security work

Numbers below are vendor-stated specs as of May 2026.

ModelContextPricing (in/out per 1M)AccessBest at (security)
Claude Mythos Preview
gated
1M / 128K out $25 / $125 Glasswing only Multi-step vuln research · exploit chaining · PoC generation · ~73% expert CTF
Claude Opus 4.7
closed
200K / 64K out $15 / $75 Public API · Claude Code Code review · long agentic flows · structured findings · architectural reasoning
Claude Sonnet 4.6
closed
200K / 64K out $3 / $15 Public API · Claude Code SAST-style code review · CWE classification · cost-sensitive bulk analysis
GPT-5.5
closed
400K / 128K out $10 / $40 Public API · ChatGPT General reasoning · tool-use · structured JSON output · CTF intermediate level
Gemini 2.5 Pro
closed
2M / 64K out $2.5 / $10 Public API · Google AI Studio Very long context · monorepo whole-codebase grep · cheap bulk analysis
Llama 3.3 70B
open weights
128K / native self-hosted HuggingFace · Together · Groq Self-hosted air-gapped audits · no data leaves perimeter · BYO infrastructure
Mistral Large 2
open weights
128K / native self-hosted HuggingFace · Mistral La Plateforme European-data-residency audits · self-host EU deployments
⚠ A note on benchmarks

CTF benchmarks don't translate 1:1 to real-world exploitation — production systems have WAFs, EDR, defenders.

Which model for which security task?

CODE AUDIT · SAST

Claude Sonnet or Opus

Cheap, structured CWE output, long context.

EXPLOIT CHAINING · DEEP RESEARCH

Claude Mythos (if you have access)

Out of reach for 99% of teams. Opus or GPT-5.5 is the 80%-good alternative.

WHOLE-MONOREPO SCAN

Gemini 2.5 Pro

2M token context fits a whole mid-sized monorepo. Cheapest per-token.

AIR-GAPPED · SENSITIVE

Llama 3.3 70B or Mistral Large 2

Open weights, self-hosted, no data leaves your perimeter.

Cost & access — who can actually use what

Sonnet 4.6 at $3/$15 is the workhorse. Opus jumps to $15/$75. Mythos at $25/$125 is the most expensive frontier model on the market.

Our /mythos harness uses GPT-4o-mini and caps each run at ~$0.30-1.50.

Air-gapped? Point /mythos at any OpenAI-compatible self-hosted endpoint — OpenMythos, Llama 3.3 70B via Ollama, or Mistral La Plateforme.

FAQ

Is Mythos worth waiting for if I'm not a launch partner?
Probably not. For 99% of teams, Opus + a good harness covers the gap.
Will Mythos break public-key cryptography or 'destroy security'?
No. Mythos accelerates discovery in unsafe codebases; it doesn't break crypto or magic-exploit hardened systems.
Should I just point Claude Code at my repo and ask for vulnerabilities?
A single agent on a 100k-line repo covers ~0.1% of attack surface. Many narrow parallel hunters is the right shape.
Is open-weights (Llama / Mistral) ever the right choice for security?
When compliance forbids sending code outside your perimeter — yes, absolutely.

Skip the access waitlist.

Browser's /mythos harness implements the same architectural pattern Cloudflare published — parallel narrow hunters + adversarial validator + taint-trace — using GPT-4o-mini at ~$0.30-1.50 per run. No Glasswing required.

Run the Browser harness → Or browse our advisories