DataGemma

DataGemma

Google
GPT-6 Luna

GPT-6 Luna

OpenAI
+
+

Related Products

  • LM-Kit.NET
    29 Ratings
    Visit Website
  • Google AI Studio
    40 Ratings
    Visit Website
  • Gemini Enterprise Agent Platform
    999 Ratings
    Visit Website
  • LTX
    182 Ratings
    Visit Website
  • AddSearch
    140 Ratings
    Visit Website
  • Evertune
    1 Rating
    Visit Website
  • kama.ai
    9 Ratings
    Visit Website
  • Bright Data
    1,424 Ratings
    Visit Website
  • optivalue.ai
    4 Ratings
    Visit Website
  • LogicalDOC
    150 Ratings
    Visit Website

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

GPT-6 Luna is OpenAI’s cost-efficient GPT-6 model designed for everyday professional work, coding, computer use, and agentic applications at scale. It brings many of the advances introduced with GPT-6 Astra to a faster and substantially lower-cost model while improving on GPT-5.6 Luna in capability and factual reliability. The model supports adjustable reasoning effort, allowing applications to spend more compute on harder tasks and less on simpler requests. GPT-6 Luna can handle software engineering, multi-step business workflows, computer interaction, and other tool-using tasks that benefit from low operating cost. Improved GPT-6 prompt caching helps long-running agents reuse more context, respond faster, and reduce the cost of repeated input. GPT-6 Luna is available in ChatGPT Work, Codex, the ChatGPT desktop app for Free and Go users, and the OpenAI API as gpt-6-luna.

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, startups, AI agent builders, software teams, businesses, and high-volume applications that need capable coding, reasoning, computer use, and automation at a low operating cost

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

$0.10 per 1M tokens (input)
Input: $0.10 per 1 million tokens
Output: $0.50 per 1 million 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:

Review this Software

Reviews/Ratings

Overall 5.0 / 5

Pros & Cons from Real Users

Pros

  • At $0.10 per million input tokens and $0.50 per million output tokens, I can run it across a lot of everyday coding, automation, classification, extraction, and agent steps without constantly thinking about cost. The 1.05M-token context window is almost ridiculous at this price. I can give it large repos, long docs, logs, and plenty of agent history without immediately hitting context limits. I also like that Luna still gets the full tool stack. Web search, files, code execution, shell access, computer use, MCP, and function calling are all supported, so it is not just a stripped-down cheap model.

Cons

  • The tradeoff is raw capability. For difficult architecture work, deep debugging, or long-horizon tasks where mistakes are expensive, I would still move up to GPT-6 Sol or Astra.

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

OpenAI
Founded: 2015
United States
openai.com

Alternatives

Gemma

Gemma

Google

Alternatives

GPT-6 Astra

GPT-6 Astra

OpenAI
Gemma 3

Gemma 3

Google
GPT-6 Sol

GPT-6 Sol

OpenAI
MiMo-V2.6-Flash

MiMo-V2.6-Flash

Xiaomi Technology
Gemma 4

Gemma 4

Google
CodeGemma

CodeGemma

Google

Categories

Categories

Integrations

Brokk
C
ChatGPT
ChatGPT Atlas
ChatGPT Canvas
ChatGPT Images
Gemini
Gemini 2.0 Flash
Gemini Enterprise
Gemini Enterprise Agent Platform
Go
Lorka
Muse
Oh My OpenAgent
Python
R
Scala
SpawnHQ
XML
Yonoo

Integrations

Brokk
C
ChatGPT
ChatGPT Atlas
ChatGPT Canvas
ChatGPT Images
Gemini
Gemini 2.0 Flash
Gemini Enterprise
Gemini Enterprise Agent Platform
Go
Lorka
Muse
Oh My OpenAgent
Python
R
Scala
SpawnHQ
XML
Yonoo
Claim DataGemma and update features and information
Claim DataGemma and update features and information
Claim GPT-6 Luna and update features and information
Claim GPT-6 Luna and update features and information