MiniMax M1

MiniMax M1

MiniMax
+
+

Related Products

  • Vertex AI
    961 Ratings
    Visit Website
  • LM-Kit.NET
    25 Ratings
    Visit Website
  • Google AI Studio
    11 Ratings
    Visit Website
  • Cloverleaf
    189 Ratings
    Visit Website
  • Unimus
    31 Ratings
    Visit Website
  • 3Q
    14 Ratings
    Visit Website
  • Oxylabs
    1,151 Ratings
    Visit Website
  • TrustInSoft Analyzer
    6 Ratings
    Visit Website
  • Ango Hub
    15 Ratings
    Visit Website
  • AnalyticsCreator
    46 Ratings
    Visit Website

About

MiniMax‑M1 is a large‑scale hybrid‑attention reasoning model released by MiniMax AI under the Apache 2.0 license. It supports an unprecedented 1 million‑token context window and up to 80,000-token outputs, enabling extended reasoning across long documents. Trained using large‑scale reinforcement learning with a novel CISPO algorithm, MiniMax‑M1 completed full training on 512 H800 GPUs in about three weeks. It achieves state‑of‑the‑art performance on benchmarks in mathematics, coding, software engineering, tool usage, and long‑context understanding, matching or outperforming leading models. Two model variants are available (40K and 80K thinking budgets), with weights and deployment scripts provided via GitHub and Hugging Face.

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.

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 researchers, developers, and enterprises needing a solution providing LLM capable of long‑context reasoning, efficient compute, and integration via function calls

Audience

Developers and enterprises building autonomous AI agents that need a high-performance, open-source reasoning model for complex, multi-step workflows

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

Free
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 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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

MiniMax
Founded: 2021
Singapore
www.minimax.io/news/minimaxm1

Company Information

Arcee AI
Founded: 2023
United States
www.arcee.ai/blog/trinity-large-thinking

Alternatives

MiniMax M2

MiniMax M2

MiniMax

Alternatives

Kimi K2 Thinking

Kimi K2 Thinking

Moonshot AI
Olmo 3

Olmo 3

Ai2
GLM-5.1

GLM-5.1

Zhipu AI
MiniMax M2.5

MiniMax M2.5

MiniMax
GLM-4.5

GLM-4.5

Z.ai

Categories

Categories

Integrations

Claude Opus 4.6
GitHub
Hugging Face
OpenClaw
OpenRouter
SiliconFlow
Visual Studio Code

Integrations

Claude Opus 4.6
GitHub
Hugging Face
OpenClaw
OpenRouter
SiliconFlow
Visual Studio Code
Claim MiniMax M1 and update features and information
Claim MiniMax M1 and update features and information
Claim Trinity-Large-Thinking and update features and information
Claim Trinity-Large-Thinking and update features and information