Claude Mythos 5

Claude Mythos 5

Anthropic
SWE-2 Flash

SWE-2 Flash

Cognition
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About

Claude Mythos 5 is Anthropic’s most advanced restricted-access AI model, designed for trusted cyberdefenders, infrastructure providers, and select research organizations. It uses the same underlying model as Claude Fable 5 but provides lifted safeguards in approved areas for specialized high-trust use cases. The model delivers exceptional capabilities in cybersecurity, software engineering, scientific research, long-context reasoning, vision, and autonomous task execution. Anthropic initially deployed Claude Mythos 5 through Project Glasswing in collaboration with the U.S. government to help protect critical software and infrastructure. The model also shows strong potential in life sciences, including protein design, molecular biology hypothesis generation, and genomics research. Claude Mythos 5 is built for organizations that need frontier AI capabilities under controlled, trusted-access conditions.

About

SWE-2 Flash is an AI coding model developed by Cognition to provide fast, cost-efficient software engineering capabilities for autonomous development agents. Built on Thinking Machines' Inkling-Small foundation model, it uses mid-training and reinforcement learning to improve coding performance, reasoning, and task execution. The model supports software development activities such as code generation, code reviews, feature development, documentation updates, and automated engineering workflows. SWE-2 Flash generates approximately 200 tokens per second, making it three times faster and five times less expensive than the larger SWE-2 model. Its 276-billion-parameter mixture-of-experts architecture activates approximately 12 billion parameters during inference to balance performance and computational efficiency. SWE-2 Flash is available through Devin Desktop and CLI, with Cognition also developing a secure model-weight sharing program for trusted research and enterprise partners.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Claude Mythos 5 is designed for cyberdefense teams, critical infrastructure providers, government partners, biomedical researchers, life sciences organizations, advanced AI research teams, and trusted enterprises that need restricted access to frontier AI capabilities

Audience

Software developers, AI coding assistant users, software engineering teams, DevOps professionals, autonomous agent developers, AI researchers, enterprise development organizations, and cybersecurity researchers seeking fast, cost-efficient AI coding, automated code reviews, feature implementation, software maintenance, technical reasoning, and agentic development workflows

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$10 per 1 million (input)
$10 per million input tokens and $50 per million output tokens
Free Version Not Supported
Free Trial Not Supported

Pricing

$20/month
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • As a cybersecurity professional, Claude Mythos 5 is the most capable AI system I've seen for vulnerability research, threat analysis, and security engineering. It can identify attack paths, analyze complex codebases, and reason through security problems at a level that feels significantly beyond previous-generation models. What stands out most is its ability to connect seemingly unrelated findings into a coherent security assessment. Whether reviewing application code, examining infrastructure risks, or analyzing exploit chains, Mythos 5 consistently provides insights that would normally require multiple senior analysts working together. The model appears particularly strong at vulnerability discovery and defensive security workflows. Its capabilities were significant enough that Anthropic initially restricted access to a small group of trusted organizations before expanding availability through its Project Glasswing program.

Cons

  • The biggest downside is accessibility. Most security professionals cannot simply sign up and use Mythos 5. Access remains limited to approved organizations, which makes it difficult for independent researchers and smaller security teams to evaluate its full potential. The model's power also comes with operational constraints. Organizations using it must navigate additional security controls, monitoring requirements, and deployment restrictions that are not typically associated with mainstream AI tools. There is also a learning curve. Mythos 5 is not a replacement for security expertise—it amplifies expertise. Teams without strong cybersecurity fundamentals may struggle to get the same value from it as experienced practitioners.

Pros & Cons from Real Users

Pros

  • This is the kind of model I would use all day for normal engineering work. It is fast enough that it does not feel like I am waiting on the model, but it is still strong enough for feature work, code review, docs, automations, and debugging. The speed is probably the biggest win. Cognition says it runs at around 200 tokens per second versus about 60 for SWE-2, and that difference matters a lot once an agent starts iterating through files and tools. The cost-performance balance is also really good. It is one-fifth the price of SWE-2, while scoring 45.5 on FrontierCode 1.1 Main, 60.1 on DeepSWE 1.1, and 89.9 on SWE-Bench Pro v2 Hard.

Cons

  • My main complaint is that it is not the model I would choose for the hardest repo-wide work. SWE-2 still has a noticeable edge on some tougher benchmarks, so I would move up when the task really needs it.

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Anthropic
Founded: 2023
United States
claude.ai

Company Information

Cognition
Founded: 2023
United States
cognition.com

Alternatives

Alternatives

GPT-6.1 Sol

GPT-6.1 Sol

OpenAI
GPT-6.1 Sol

GPT-6.1 Sol

OpenAI
Inkling

Inkling

Thinking Machines Lab
Claude Fable 5

Claude Fable 5

Anthropic

Categories

AI Coding Models Supported
AI Models Supported
AI Vision Models Supported
Foundation Models Supported

Categories

AI Coding Models Supported
AI Models Supported

Integrations

.NET Supported
C Supported
C# Supported
Devin Supported
Devin Desktop Supported
Kotlin Supported
Kubernetes Supported
Lua Supported
Objective-C Supported
PHP Supported
PowerShell Supported
Python Supported
R Supported
Ruby Supported
Rust Supported
Scala Supported
Solidity Supported
Swift Supported
TypeScript Supported
XML Supported

Integrations

.NET Supported
C Supported
C# Supported
Devin Supported
Devin Desktop Supported
Kotlin Supported
Kubernetes Supported
Lua Supported
Objective-C Supported
PHP Supported
PowerShell Supported
Python Supported
R Supported
Ruby Supported
Rust Supported
Scala Supported
Solidity Supported
Swift Supported
TypeScript Supported
XML Supported
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