MiniMax M1

MiniMax M1

MiniMax
SubQ 1.1 Small

SubQ 1.1 Small

Subquadratic
+
+

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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

SubQ 1.1 Small is a long-context AI model from Subquadratic designed to reason over complete enterprise artifacts such as codebases, document collections, contracts, and financial filings. It uses Subquadratic Sparse Attention, or SSA, to reduce the high compute costs normally associated with processing very large context windows. The model delivers near-perfect long-context retrieval across 1M, 2M, 6M, and 12M token tests while using far less attention compute than dense attention. SubQ 1.1 Small also maintains strong general reasoning, coding, knowledge, and agentic task performance across multiple benchmarks. Its capabilities make it useful for financial analysis, legal review, contract work, software engineering, due diligence, and other workflows where information is spread across large artifacts. SubQ is built for organizations that want to move beyond fragmented retrieval pipelines and enable direct reasoning over massive bodies of information.

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

SubQ 1.1 Small is best suited for enterprises, AI teams, software engineering groups, legal teams, financial analysts, and research organizations that need efficient long-context reasoning across large documents, codebases, filings, contracts, and complex information collections

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

No information available.
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

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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
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

Subquadratic
Founded: 2026
United States
subq.ai/subq-1-1-small-technical-report

Alternatives

MiniMax M3

MiniMax M3

MiniMax

Alternatives

Claude Fable 5

Claude Fable 5

Anthropic
MiniMax M2

MiniMax M2

MiniMax
Claude Opus 4.8

Claude Opus 4.8

Anthropic
Olmo 3

Olmo 3

Ai2

Categories

Categories

Integrations

Anuma
Claude Code
GitHub
Hugging Face
OpenAI
OpenAI Codex
SiliconFlow
SubQ

Integrations

Anuma
Claude Code
GitHub
Hugging Face
OpenAI
OpenAI Codex
SiliconFlow
SubQ
Claim MiniMax M1 and update features and information
Claim MiniMax M1 and update features and information
Claim SubQ 1.1 Small and update features and information
Claim SubQ 1.1 Small and update features and information