MiniMax‑M1
Overview
Open‑source large‑scale reasoning model with 1 million token context and hybrid Mixture‑of‑Experts architecture.
Best For Professions:
MiniMax‑M1 is an open‑weight, hybrid Mixture‑of‑Experts large language model offering natively a 1 million token context window. It uses lightning attention and efficient RL training (CISPO) to excel at long-context reasoning, tool-use, coding, and mathematics. Released under Apache 2.0, it supports structured function calling and is deployable via vLLM, Transformers, or API.
Product overview
Capabilities, pricing and fit
MiniMax‑M1 is best understood as an open-weight reasoning model rather than an agent-development framework. The MiniMax-M1 repository presents an open-weight, large-scale hybrid-attention reasoning model.
Information as of July 30, 2026
What it can do
- Agent application development
The MiniMax-M1 repository presents an open-weight, large-scale hybrid-attention reasoning model.[1]
Where it fits best
- Evaluating an open-weight hybrid-attention reasoning model.[1]
Pricing and availability
Access: Source repository[1]
Sources (1)
Autonomy level
83/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
Comparisons
Custom Comparisons
Some of the use cases of MiniMax‑M1:
- Processing extremely long documents or codebases in a single pass
- Building AI agents with tool-use and function-calling
- Advanced mathematical and coding reasoning
- Deploying open-source LLMs with efficient inference
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Popularity level: 73%
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