Inkling

Inkling

Thinking Machines Lab
+
+

Related Products

  • Gemini Enterprise Agent Platform
    999 Ratings
    Visit Website
  • Google AI Studio
    30 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • JetBrains Junie
    12 Ratings
    Visit Website
  • Google Cloud BigQuery
    2,023 Ratings
    Visit Website
  • Evertune
    1 Rating
    Visit Website
  • Google Workspace
    69,107 Ratings
    Visit Website
  • AthenaHQ
    36 Ratings
    Visit Website
  • Gemini Credit Card
    2 Ratings
    Visit Website
  • Interfacing Integrated Management System (IMS)
    66 Ratings
    Visit Website

About

Gemini 3.7 Flash is Google’s most intelligent workhorse model yet for coding and agents, delivering substantial improvements across software engineering, knowledge work, web development, and complex business workflows. It shows stronger performance in debugging and issue resolution, higher first-pass code accuracy, and improved generation of production-ready code. For web development, the model creates more functional layouts and feature-complete applications in fewer prompts, with strong design adherence when working from screenshots, images, or complete design systems. In knowledge-dense fields such as finance, law, and biosciences, it provides improved reasoning, accuracy, and complex-document understanding. Gemini 3.7 Flash also performs more effectively on real-world workflow automation and multimodal tasks, supporting use cases ranging from interactive web experiences and data stories to robotics and dynamically generated 3D content.

About

Inkling is an open-weights multimodal AI model from Thinking Machines designed as a customizable foundation model for developers, researchers, and enterprises. The model is a Mixture-of-Experts transformer with 975 billion total parameters, 41 billion active parameters, and support for context windows up to 1 million tokens. Inkling was trained from scratch on text, images, audio, and video, giving it native capabilities across reasoning, coding, agentic tool use, vision, audio, factuality, and instruction following. It is built with controllable thinking effort so users can balance performance, latency, and token efficiency for different workloads. The model is available for fine-tuning on Tinker, with playground access, API availability through ecosystem partners, and full weights published on Hugging Face. Built for customization, Inkling gives teams an open-weights base model for building domain-specific AI systems, multimodal agents, coding workflows, research tools, and more.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers, enterprises, and engineering teams seeking to build agents, automate complex workflows, generate production-ready software, and perform multimodal tasks

Audience

AI developers, researchers, model fine-tuning teams, enterprise AI groups, agent builders, coding tool makers, multimodal AI teams, infrastructure providers, and organizations that need open-weights models for customization, long-context reasoning, vision, audio, tool use, and specialized AI applications

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$0.75 per 1M tokens (input)
$0.75/1M input and $3.75/1M output tokens
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Pros & Cons from Real Users

Pros

  • The biggest draw is the focus on complex software engineering, web development, and autonomous agent workflows. If it really improves planning and instruction-following, that matters a lot for coding agents that need to work across multiple steps without drifting. The lower price is a big win too. Flash models are supposed to be the workhorses, so cutting the cost while improving coding quality makes it much more appealing for high-volume use.

Cons

  • Fast models like Gemini 3.7 Flash can be great for everyday development, but I would not hand it a production repo and blindly accept every change.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Google
Founded: 1998
United States
google.com

Company Information

Thinking Machines Lab
Founded: 2025
United States
thinkingmachines.ai/

Alternatives

Grok 4.6

Grok 4.6

SpaceXAI

Alternatives

Grok 4.6

Grok 4.6

SpaceXAI
Claude Opus 5

Claude Opus 5

Anthropic
Claude Opus 5

Claude Opus 5

Anthropic
Claude Fable 5

Claude Fable 5

Anthropic
Claude Fable 5

Claude Fable 5

Anthropic
Inkling-Small

Inkling-Small

Thinking Machines Lab
Qwen3.5

Qwen3.5

Alibaba

Categories

Categories

Integrations

CSS
Gemini
Gemini 3.5 Flash
Gemini 3.5 Flash Cyber
Gemini Computer Use
Gemini Enterprise Agent Platform
Google
Google AI Overviews
Google AI Studio
HTML
Java
JavaScript
Kotlin
Kubernetes
Lua
Objective-C
PHP
Solidity
Tinker
YAML

Integrations

CSS
Gemini
Gemini 3.5 Flash
Gemini 3.5 Flash Cyber
Gemini Computer Use
Gemini Enterprise Agent Platform
Google
Google AI Overviews
Google AI Studio
HTML
Java
JavaScript
Kotlin
Kubernetes
Lua
Objective-C
PHP
Solidity
Tinker
YAML
Claim Gemini 3.7 Flash and update features and information
Claim Gemini 3.7 Flash and update features and information
Claim Inkling and update features and information
Claim Inkling and update features and information