LLM Reference

MiniMax M1

Released
2025-09-01
Last refreshed
2026-06-24
Status
Researched 77d ago
DeprecatedOpen sourceCommercial use: permittedRAGAgentsLong contextClassificationJSON / Tool use

MiniMax M1 is a legacy integration reference; evaluate MiniMax M3 before starting new work.

Use it for

  • Teams maintaining an existing integration
  • Workloads that can use a 1m context window

Do not use it for

  • New production launches
  • Cost-sensitive launches that need sourced token pricing
  • Vision or document-understanding workloads
Specifications
Released
2025-09-01
Context
1m
Parameters
456B
Architecture
Mixture of Experts
Specialization
general
Openness
Open source
License
Apache 2.0OSI-approvedCommercial use: permitted
Weights
Available
Code
Unknown
Training
Pretrained
Created by

Developing AI for gaming and entertainment.

Minhang, Shanghai, China
Founded 2021
Website
Pricing

No tracked provider token pricing is available yet.

This model is deprecated. MiniMax recommends switching to MiniMax M3.

About

MiniMax-M1 is a large-scale open-weight reasoning model from MiniMax with 456B total parameters and a 1M token context window, designed for extended reasoning and high-efficiency inference.

Top use-case fit: coding, agents, and build tasks

RAG

Included by capability and metadata signals in the decision map.

Agents

Included by capability and metadata signals in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare all 2

No tracked provider token pricing is available for this model yet.

Capabilities

ReasoningJSON / Tool useStructured Outputs

Benchmark peer barsfor RAG

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.