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MiniMax-M2

MiniMax-M2 sits within the broader MiniMax M-series of language models, a text-only LLM family that the company continued iterating on after this release. According to MiniMax's own product navigation, the M-series line later expanded to include refined successors such as M2.5, framed by the company around real-world productivity workflows, and M2.7, which the provider described as exploring early stages of self-evolutionary improvements. MiniMax-M2 thus represents the foundational point of a lineage the vendor has actively built upon, rather than a standalone endpoint.

Because MiniMax positioned the M-series as production-oriented LLMs with a focus on practical assistant use, MiniMax-M2 is best understood as the earlier open-weights baseline from which later reasoning- and tool-oriented refinements were developed. Teams evaluating this artifact should weigh it against its documented successors, which the vendor has explicitly positioned for workplace productivity and iterative self-improvement. The model's role is therefore primarily that of an accessible on-ramp to MiniMax's evolving open-weight text model roadmap.

Hugging FaceMiniMaxAI/MiniMax-M2minimax

Quick Info

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Provider
Hugging Face
Model key
MiniMaxAI/MiniMax-M2
Release date
Oct 27, 2025
Last updated
Oct 27, 2025
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.30
Output token cost
$1.20

Limits

Output tokens
131,072 tokens
Context window
204,800 tokens

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