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MiniMax-M2.7-highspeed

MiniMax-M2.7-highspeed is the faster hosted sibling of the M2.7 text-and-tool model, tuned to keep inference quick while preserving the general-purpose reasoning quality the line is known for. Sources describe it as a high-speed M2.7 variant engineered for fast inference with strong general-purpose performance and strong agentic capabilities, sitting alongside M2.7 and the newer M-series frontier model in MiniMax's current catalog rather than in the Legacy Models section. The intended workloads mirror M2.7 itself: software engineering, agent workflows, and professional document tasks, where rapid tool-calling and reliable reasoning matter more than peak capability.

For practical fit, the model handles very large interactions through a roughly 200K-token combined context window and is positioned for JSON-style structured tool use alongside reasoning, making it a good choice for code assistants, retrieval-backed agents, and long-document drafting pipelines that need quick turnaround. Catalog listings document the highspeed option at about 100 tokens per second versus roughly 60 for the base M2.7, which is what justifies choosing this variant when latency budgets are tight. Because M2.7-highspeed remains a documented, non-legacy M-series option while M3 leads the frontier, teams building on the M2.7 line can standardize on the highspeed build for speed-sensitive services while keeping the broader M-series toolchain available.

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MiniMax Token Plan (minimax.io)
Model key
MiniMax-M2.7-highspeed
Release date
Mar 18, 2026
Last updated
Mar 18, 2026
Input modalities
Output modalities
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Cost

A provider subscription or plan supersedes token-based pricing for this model.

Limits

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

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minimax/minimax-m2.7-highspeed API pricing: $0.60/1M input, $2.40/1M output, 205K context. MiniMax M2.7-highspeed is an accelerated SOTA model engineered for scenarios… Specs, benchmarks and instant access via one OpenAI-compatible API.

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