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Claude Mythos (Glasswing) – Anthropic

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Anthropic

Claude Mythos (Glasswing) is a Restricted cyber from Anthropic (United States).

One-line fit: best used for Defensive cyber partners.

Key specifications

Provider Anthropic
Model Claude Mythos (Glasswing)
Type Restricted cyber
Context window Gated
Pricing (indicative) Partner only
Company category Frontier Lab
Region United States
Official site https://www.anthropic.com

Benchmarks and public standing

Not public leaderboard

Treat scores as directional. SWE-bench, Terminal-Bench, LMSYS Arena, Artificial Analysis, and vendor cards use different harnesses and are not always comparable 1:1. Re-check the latest official model card before decisions.

What this model is good at

Defensive cyber partners

This aligns with Anthropic’s broader strengths:

  • Hard software engineering
  • Long-form writing and research
  • Computer use / Claude Code agents
  • Enterprise trust and safety brand

Limitations and watch-outs

Not generally available

  • Rate limits, regional availability, and data retention policies vary by plan.
  • Agent harness quality (Cursor, Claude Code, Codex, custom tools) can change outcomes more than raw model Elo.
  • Open-weight availability (if any) is separate from hosted API quality and safety filters.

Ideal users

  • Product engineers shipping features that match: Defensive cyber partners
  • Teams standardizing on the Anthropic ecosystem
  • Agent builders who need a Restricted cyber

When to pick something else

  • Cheaper volume: compare lower tiers from the same lab or open Chinese/EU alternatives.
  • Maximum hard SWE thoughtfulness: compare Claude Fable-class and other coding flagships.
  • Giant multimodal corpora / Workspace: compare Gemini-class models.
  • Self-host / open weights: Llama, Qwen, DeepSeek, GLM, Mistral open lines.

Parent company

Anthropic – Safety-focused frontier lab. Claude models are widely preferred for thoughtful coding, long writing, and high-stakes knowledge work.

Related models from Anthropic

Data is curated for AIForumSphere model directory mid-2026 directional figures.

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