Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

No User Reviews. Be the first to provide a review:

Write a Review

Description

Claude Mythos 5.2 is a frontier artificial intelligence model developed by Anthropic for advanced cybersecurity, biological research, scientific discovery, and autonomous technical workflows. The model uses the same underlying architecture as Claude Fable 5.2 while providing verified researchers with access to specialized capabilities in cybersecurity and life sciences. Its cybersecurity capabilities support vulnerability discovery, source code security analysis, exploit validation, penetration testing research, and investigation of complex software weaknesses in authorized environments. Claude Mythos 5.2 can independently identify previously documented vulnerabilities in older versions of software projects and evaluate potential security issues across large codebases. Its life sciences capabilities support protein design, biological research, scientific reasoning, and computational analysis for authorized research organizations. The model also provides advanced software engineering, mathematical reasoning, visual understanding, and autonomous research capabilities for demanding technical projects. Anthropic reports benchmark results of 76.3% on CyScenarioBench, 89.6% on CVE Rediscovery, 85.1% on de novo protein binder design, and 75.3% on Terminal-Bench-Science 0.1. Claude Mythos 5.2 provides up to 30% faster output generation than Mythos 5.1, with an optional fast mode offering up to 2.5 times higher generation speed. The model is available to vetted organizations through Anthropic's Cyber Verification and Life Sciences Verification Programs, with usage-based API pricing starting at $8 per million input tokens and $40 per million output tokens.

Description

Inkling is Thinking Machines’ open-weights foundation model built for customization, multimodal reasoning, and agentic AI workflows. The model uses a Mixture-of-Experts architecture with 975 billion total parameters and 41 billion active parameters, making it large in capacity while activating only a subset of experts per token. Inkling supports up to a 1 million token context window and was pretrained on 45 trillion tokens spanning text, images, audio, and video. It is designed as a broad generalist model with strengths across coding, reasoning, instruction following, factuality, tool use, vision, audio understanding, forecasting, and safety. Developers can tune its thinking effort to trade off latency, cost, and performance, which is useful for production systems that need efficient reasoning at scale. Inkling can be fine-tuned on Tinker, tested in the Inkling Playground, and deployed through partners such as TogetherAI, Fireworks, Modal, Databricks, Baseten, vLLM, SGLang, llama.cpp, and Hugging Face transformers. The model can generate applications, operate tools, create styled artifacts, reason over visual and audio inputs, and support long refinement loops for collaborative work. Thinking Machines also previewed Inkling-Small, a lighter Mixture-of-Experts model with 276 billion total parameters and 12 billion active parameters for lower-cost and lower-latency workloads. By combining open weights, multimodal training, agentic capabilities, efficient reasoning, and fine-tuning support, Inkling gives builders a flexible AI foundation for specialized products and workflows.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Model Context Protocol (MCP) Yes 
Augment Code Yes 
Claude Code Yes 
Claude Cowork Yes 
ClickUp Brain Yes 
Cursor Yes 
Databricks Yes 
Emergent Yes 
HTML Yes 
IntelliJ IDEA Yes 
JetBrains Junie Yes 
Julia Yes 
LaunchLemonade Yes 
Mimasa AI Yes 
PowerShell Yes 
Scalestack Yes 
Springhub Yes 
Versuno Yes 
Visual Basic Yes 
Zo Computer Yes 

Integrations

Model Context Protocol (MCP) Yes 
Augment Code No 
Claude Code No 
Claude Cowork No 
ClickUp Brain No 
Cursor No 
Databricks No 
Emergent No 
HTML No 
IntelliJ IDEA No 
JetBrains Junie No 
Julia No 
LaunchLemonade No 
Mimasa AI No 
PowerShell No 
Scalestack No 
Springhub No 
Versuno No 
Visual Basic No 
Zo Computer No 

Pricing Details

$8 per 1M tokens (input)
$8 per million input tokens and $40 per million output tokens
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Anthropic

Founded

2021

Country

United States

Website

claude.ai

Vendor Details

Company Name

Thinking Machines Lab

Founded

2025

Country

United States

Website

thinkingmachines.ai/

Alternatives

Alternatives

GPT-6.1 Terra Reviews

GPT-6.1 Terra

OpenAI
5.0 out of 5 stars
Claude Fable 5.2 Reviews

Claude Fable 5.2

Anthropic
5.0 out of 5 stars
Inkling 2 Small Reviews

Inkling 2 Small

Thinking Machines Lab
GPT-6.1 Terra Reviews

GPT-6.1 Terra

OpenAI
5.0 out of 5 stars
GPT-6.1 Sol Reviews

GPT-6.1 Sol

OpenAI
5.0 out of 5 stars
Claude Mythos 5 Reviews

Claude Mythos 5

Anthropic
5.0 out of 5 stars
Inkling-Small Reviews

Inkling-Small

Thinking Machines Lab
5.0 out of 5 stars