DataGemma

DataGemma

Google
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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

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.

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

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

Audience

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

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

No information available.
Free Version
Free Trial

Pricing

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

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:

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5

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

Company Information

Google
Founded: 1998
United States
google.com

Alternatives

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Gemma

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Alternatives

Gemma 3

Gemma 3

Google
GPT-5.6 Sol

GPT-5.6 Sol

OpenAI
Gemma 4

Gemma 4

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CodeGemma

CodeGemma

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Categories

Categories

Integrations

Gemini
Gemini Enterprise
Google AI Plus
C
C#
Devin Desktop
Gemini 1.5 Flash
Gemini 1.5 Pro
Gemini Pro
Google Antigravity
Java
Kotlin
Objective-C
Python
R
Replit
Solidity
Vercel AI Gateway
Wikis.ai
YAML

Integrations

Gemini
Gemini Enterprise
Google AI Plus
C
C#
Devin Desktop
Gemini 1.5 Flash
Gemini 1.5 Pro
Gemini Pro
Google Antigravity
Java
Kotlin
Objective-C
Python
R
Replit
Solidity
Vercel AI Gateway
Wikis.ai
YAML
Claim DataGemma and update features and information
Claim DataGemma and update features and information
Claim Gemini 3.7 Flash and update features and information
Claim Gemini 3.7 Flash and update features and information