Gemini Deep Research MaxGoogle
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Trinity-Large-ThinkingArcee AI
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Related Products
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About
Gemini Deep Research is Google’s next-generation autonomous research agent, designed to plan, execute, and synthesize complex, multi-step research tasks across the web and private data sources into high-quality, structured outputs. Built on top of advanced Gemini models such as Gemini 3.1 Pro, it introduces a system where the AI can break down a user’s query into sub-tasks, search across multiple sources, evaluate relevance, and iteratively refine results before producing a comprehensive, cited report. It is positioned as a “step change” in long-horizon research workflows, enabling autonomous exploration of both public web content and custom enterprise data while maintaining context and coherence across extended reasoning chains. It supports features such as MCP (Model Context Protocol) integration, native visualizations, and significantly improved analytical quality, allowing users to generate insights.
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About
Trinity Large Thinking is a frontier open source reasoning model developed by Arcee AI, designed specifically for complex, multi-step problem solving and autonomous agent workflows that require long-horizon planning and tool use. Built on a sparse Mixture-of-Experts architecture with roughly 400 billion total parameters but only about 13 billion active per token, the model achieves high efficiency while maintaining strong reasoning performance across tasks such as mathematical problem solving, code generation, and multi-step analysis. It introduces extended chain-of-thought reasoning capabilities, allowing the model to generate intermediate “thinking traces” before producing final answers, which improves accuracy and reliability in complex scenarios. Trinity Large Thinking supports a very large context window of up to 262K tokens, enabling it to process long documents, maintain state across extended interactions, and operate effectively in continuous agent loops.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Researchers, analysts, and enterprise teams who need an AI system that can autonomously conduct deep, multi-step research and generate structured, high-quality reports from web and internal data
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Audience
Developers and enterprises building autonomous AI agents that need a high-performance, open-source reasoning model for complex, multi-step workflows
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationGoogle
Founded: 1998
United States
blog.google/innovation-and-ai/models-and-research/gemini-models/next-generation-gemini-deep-research/
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Company InformationArcee AI
Founded: 2023
United States
www.arcee.ai/blog/trinity-large-thinking
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Categories |
Categories |
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Integrations
Claude Opus 4.6
Claude Opus 4.7
Gemini
Gemini 3.1 Pro
Gemini Deep Research
Model Context Protocol (MCP)
OpenClaw
OpenRouter
Visual Studio Code
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Integrations
Claude Opus 4.6
Claude Opus 4.7
Gemini
Gemini 3.1 Pro
Gemini Deep Research
Model Context Protocol (MCP)
OpenClaw
OpenRouter
Visual Studio Code
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