DataGemma

DataGemma

Google
Inkling

Inkling

Thinking Machines Lab
+
+

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About

DataGemma represents a pioneering effort by Google to enhance the accuracy and reliability of large language models (LLMs) when dealing with statistical and numerical data. Launched as a set of open models, DataGemma leverages Google's Data Commons, a vast repository of public statistical data—to ground its responses in real-world facts. This initiative employs two innovative approaches: Retrieval Interleaved Generation (RIG) and Retrieval Augmented Generation (RAG). The RIG method integrates real-time data checks during the generation process to ensure factual accuracy, while RAG retrieves relevant information before generating responses, thereby reducing the likelihood of AI hallucinations. By doing so, DataGemma aims to provide users with more trustworthy and factually grounded answers, marking a significant step towards mitigating the issue of misinformation in AI-generated 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 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

AI developers in need of a tool to reduce AI hallucination by anchoring LLMs in real-world statistical information

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 Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

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

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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

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Google
Founded: 1994
United States
blog.google/technology/ai/google-datagemma-ai-llm/

Company Information

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

Alternatives

Gemma

Gemma

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Alternatives

Gemma 3

Gemma 3

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Gemma 4

Gemma 4

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CodeGemma

CodeGemma

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Qwen3.5

Qwen3.5

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Gemma 2

Gemma 2

Google
Inkling-Small

Inkling-Small

Thinking Machines Lab

Categories

AI Models Supported

Categories

AI Coding Models Supported
AI Models Supported
AI Vision Models Supported
Foundation Models Supported
Multimodal Models Supported

Integrations

Gemini Supported
Gemini 1.5 Flash Supported
Gemini 1.5 Pro Supported
Gemini 2.0 Supported
Gemini 2.0 Flash Supported
Gemini Enterprise Supported
Gemini Nano Supported
Gemini Pro Supported
Google AI Plus Supported
Model Context Protocol (MCP) Not Supported
Tinker Not Supported

Integrations

Gemini Not Supported
Gemini 1.5 Flash Not Supported
Gemini 1.5 Pro Not Supported
Gemini 2.0 Not Supported
Gemini 2.0 Flash Not Supported
Gemini Enterprise Not Supported
Gemini Nano Not Supported
Gemini Pro Not Supported
Google AI Plus Not Supported
Model Context Protocol (MCP) Supported
Tinker Supported
Claim DataGemma and update features and information
Claim DataGemma and update features and information
Claim Inkling and update features and information
Claim Inkling and update features and information