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MiniMaxAIProprietary
MiniMax-M2.7
MiniMax-M2.7 is a reasoning model developed by MiniMaxAI using MoE (Mixture of Experts) architecture. It supports an extensive context window of 200K tokens and features advanced self-improvement capabilities that drive the model's own training cycle.
Parameters
Undisclosed
Context Window
License
https://github.com/MiniMax-AI/MiniMax-M2.7/blob/main/LICENSE
Release Date
2026-03-18
API Pricing
Input Price (per 1M tokens)
$0.3
Output Price (per 1M tokens)
$
Billing Mode: standard
Strengths
- ・High software engineering capability
- ・Efficient MoE architecture
- ・Strong self-improvement workflow
Weaknesses
- ・Closed-source availability
- ・Room to improve tool-calling accuracy
- ・Limited API access environment
Use Cases
- ・Advanced code generation and modification
- ・Large-scale context analysis
- ・Automation of specialized office tasks