Gemini 4 CarbonGoogle
|
Inkling 2 SmallThinking Machines Lab
|
|||||
Related Products
|
||||||
About
Gemini 4 Carbon is an advanced multimodal AI reasoning model developed by Google DeepMind for cybersecurity, software engineering, scientific research, and autonomous agent workflows. Building on Gemini 4 Argon, the model delivers improved performance in vulnerability discovery, exploit validation, secure code generation, and automated software patching. Its long-horizon reasoning capabilities enable AI agents to work through complex engineering problems over extended periods, including debugging large codebases and resolving low-level system issues. Gemini 4 Carbon also supports full-stack web development, multimodal understanding, technical analysis, and multistep task execution. The model incorporates safety mechanisms for prompt injection resistance, monitoring, and alignment while reducing unsupported claims and unauthorized actions.
|
About
Inkling 2 Small is a multimodal AI model developed by Thinking Machines Lab for advanced reasoning, autonomous software engineering, visual understanding, and AI agent development. The model uses a mixture-of-experts architecture with 594 billion total parameters and 17 billion active parameters to balance intelligence and computational efficiency. It supports text and image inputs, a context window of up to one million tokens, and configurable reasoning effort for tasks requiring different levels of analysis. Its agentic capabilities enable autonomous code generation, debugging, website development, scientific research, and complex multistep workflows involving external tools. Inkling 2 Small also supports fine-tuning and reinforcement learning through Thinking Machines Lab's Tinker platform, allowing developers to customize the model for specialized applications.
|
|||||
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
Cybersecurity researchers, security operations teams, penetration testers, vulnerability researchers, software developers, AI engineers, autonomous agent developers, DevSecOps professionals, scientific researchers, enterprise IT teams, and organizations seeking advanced AI reasoning, secure code generation, automated vulnerability remediation, and long-horizon software engineering automation
|
Audience
AI developers, machine learning engineers, software developers, autonomous agent researchers, data scientists, AI research laboratories, DevOps professionals, computational scientists, enterprise AI teams, and organizations seeking multimodal language models, long-context reasoning, AI coding agents, reinforcement learning, model fine-tuning, visual understanding, and autonomous research capabilities
|
|||||
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
Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
$2 per 1M tokens (input)
$2 per million input tokens and $10 per million output tokens, with cached input tokens priced at 95% off input token price.
Free Version
Not Supported
Free Trial
Not Supported
|
Pricing
$0.30 per million input tokens
$0.30 per million input tokens, $0.03 per million cached input tokens, and $1.00 per million output tokens
Free Version
Not Supported
Free Trial
Not Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
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 InformationGoogle
Founded: 1998
United States
gemini.com
|
Company InformationThinking Machines Lab
Founded: 2025
United States
thinkingmachines.ai/
|
|||||
Alternatives |
Alternatives |
|||||
|
|
|
|||||
|
|
|
|||||
|
|
|
|||||
|
|
|
|||||
Categories |
Categories |
|||||
Integrations
Model Context Protocol (MCP)
Supported
Android Studio
Supported
C#
Supported
C++
Supported
CSS
Supported
Gemini 3.5 Flash Cyber
Supported
Gemini 3.5 Flash-Lite
Supported
Gemini Computer Use
Supported
Gemini Managed Agents
Supported
Go
Supported
|
Integrations
Model Context Protocol (MCP)
Supported
Android Studio
Not Supported
C#
Not Supported
C++
Not Supported
CSS
Not Supported
Gemini 3.5 Flash Cyber
Not Supported
Gemini 3.5 Flash-Lite
Not Supported
Gemini Computer Use
Not Supported
Gemini Managed Agents
Not Supported
Go
Not Supported
|
|||||
|
|
|