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MiniMaxAI독점
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.
파라미터
Undisclosed
컨텍스트
라이선스
https://github.com/MiniMax-AI/MiniMax-M2.7/blob/main/LICENSE
출시일
2026-03-18
API 가격
입력 가격 (1M 토큰당)
$0.3
출력 가격 (1M 토큰당)
$
과금 모드: standard
강점
- ・High software engineering capability
- ・Efficient MoE architecture
- ・Strong self-improvement workflow
약점
- ・Closed-source availability
- ・Room to improve tool-calling accuracy
- ・Limited API access environment
활용 사례
- ・Advanced code generation and modification
- ・Large-scale context analysis
- ・Automation of specialized office tasks