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MiniMax M2.7

MiniMax M2.7 sits within a family of text-focused language models that includes the MiniMax M3 and MiniMax M2.5 releases, positioning it as part of an evolving lineup rather than a standalone product. The model is surfaced as a dedicated entry on NVIDIA NIM under the publisher name Minimaxai, signaling that it is available for deployment through enterprise-grade inference infrastructure alongside its listing on the broader MiniMax model catalog. This dual presence suggests an intent to reach both developer audiences using managed endpoints and organizations integrating through optimized serving environments.

Within the MiniMax product catalog, MiniMax M2.7 is grouped under the text and LLM offerings, distinguishing it from the company's separate speech, music, and video model lines. Its placement next to M3 and M2.5 points to an iterative design philosophy where each version advances the previous generation's capabilities while remaining part of a recognizable naming convention. For practitioners evaluating options in this lineup, MiniMax M2.7 represents a mid-cycle choice that benefits from the surrounding ecosystem of hosting and serving partnerships, though readers seeking deeper architectural detail or benchmark comparisons will need to consult the full model card directly.

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Quick Info

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Provider
EmpirioLabs AI
Model key
minimax-m2-7
Release date
Mar 18, 2026
Last updated
Mar 18, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.15
Output token cost
$0.60

Limits

Output tokens
32,768 tokens
Context window
200,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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