Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
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
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
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/