Claude Mythos 5 Reviews & Ratings

Claude Mythos 5

5.0 out of 5 stars

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ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
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Ratings and Reviews 1 Rating

Total 5 out of 5 stars
ease 5 out of 5 stars
features 5 out of 5 stars
design 5 out of 5 stars

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What is Liquid AI?

At Liquid, our goal is to create sophisticated AI systems capable of tackling a wide range of challenges, allowing users to effectively build, use, and oversee their own AI solutions. This dedication ensures the integration of AI into all businesses is done in a seamless, reliable, and efficient manner. Looking ahead, Liquid seeks to design and deploy state-of-the-art AI solutions that are available to everyone, promoting inclusivity in technology. Our methodology emphasizes the development of transparent models in organizations that prioritize openness and clarity. We hold the conviction that such transparency cultivates trust and spurs innovation within the realm of AI, ultimately benefiting society as a whole. By fostering an environment of collaboration and shared knowledge, we believe we can unlock the full potential of AI for diverse applications.

What is Claude Mythos 5?

Claude Mythos 5 is Anthropic’s restricted-access Mythos-class AI model built for trusted organizations that require the highest level of Claude capability. The model shares the same underlying architecture as Claude Fable 5, but is offered with certain safeguards removed for approved use cases and vetted users. Claude Mythos 5 is designed for advanced cybersecurity, software engineering, scientific discovery, long-context reasoning, and autonomous research workflows. It is initially deployed through Project Glasswing for cyberdefenders and critical infrastructure providers. The model is intended to help security teams analyze complex systems, support defensive cybersecurity work, and protect important software environments. Claude Mythos 5 also demonstrates major potential in life sciences, where it can assist with protein design, binding-site selection, bioinformatics workflows, and research hypothesis generation. Anthropic reports that the model can carry out extended technical tasks, recover from failures, and operate with a high degree of autonomy. Its capabilities in genomics include assembling large-scale single-cell datasets and designing custom machine learning approaches for biological research. Because these capabilities may be dual-use, Anthropic limits access through trusted programs and applies a 30-day retention policy for Mythos-class traffic. The model is priced at $10 per million input tokens and $50 per million output tokens. Claude Mythos 5 helps vetted organizations apply frontier AI to critical defense, infrastructure, and scientific problems while maintaining controlled access and oversight.

Media

Media

Integrations Supported

LEAP

Integrations Supported

Amp
Buda
Claude
Claude Science
Claw Code
Clawd.run
Dart
Factory Droid
GitHub Copilot CLI
Google Antigravity
Java
Lua
OpenClaw.Direct
Pi Agent
PyCharm
RubyMine
Skymel
Solidity
TypeScript

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version

Pricing Information

$10 per 1 million (input)
$10 per million input tokens and $50 per million output tokens

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Liquid AI

Date Founded

2023

Company Location

United States

Company Website

www.liquid.ai/

Company Facts

Organization Name

Anthropic

Date Founded

2023

Company Location

United States

Company Website

claude.ai

Categories and Features

AI Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

AI Vision Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

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