MiniMax‑M1
Overview
Open‑source large‑scale reasoning model with 1 million token context and hybrid Mixture‑of‑Experts architecture.
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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.
Autonomy level
83%
Reasoning: MiniMax-M1 achieves high autonomy through its function-calling architecture that dynamically invokes external tools (e.g., calculators, APIs) for multi-step task completion without human intervention. Its Modular Control Points (MCPs) enable configurable workflows, while 1M-token context retention supports complex reasoning across extended interact...
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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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