
MiniMax M2.7 Highspeed / 채팅
A high-speed variant of MiniMax’s flagship M2.7 LLM, delivering 100 TPS—~60% faster than standard M2.7—with identical top-tier quality. It features a 204,800-token context window, near-Opus-level SWE performance, and recursive self-improvement. Optimized for low-latency coding, office tasks, and agent workflows, it balances extreme speed, reliability, and cost-efficiency for high-throughput real-world applications。
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가격 상세
이 모델의 실제 요금은 API 요청에서 전달된 특정 매개변수를 기반으로 동적으로 계산됩니다. 아래는 구체적인 조합과 해당 가격입니다:
| 모달리티 | 입력 크레딧 | 출력 크레딧 | 입력 가격 | 출력 가격 | 암시적 캐시 적중 | 명시적 캐시 적중 | 캐시 생성 |
|---|---|---|---|---|---|---|---|
| Standard | 600/ 1M Tokens | 2,400/ 1M Tokens | $0.600 | $2.400 | $0.060 60/ 1M Tokens | $0.060 60/ 1M Tokens | $0.375 375/ 1M Tokens |
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MiniMax M2.7
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MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent collaboration, enabling it to plan, execute, and refine complex tasks across dynamic environments.


MiniMax M2.5
MiniMax-M2.5
MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1 to extend into general office work, reaching fluency in generating and operating Word, Excel, and Powerpoint files, context switching between diverse software environments, and working across different agent and human teams


MiniMax M2.5 Highspeed
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MiniMax-M2.5-highspeed is an ultra-fast inference version of MiniMax M2.5. It maintains the full intelligent capability of the standard M2.5 model, featuring ultra-low latency, high throughput and outstanding cost performance. Built on advanced MoE architecture, it delivers rapid response speed while ensuring stable output quality. Optimized for high-concurrency business scenarios such as real-time dialogue, content generation and API service calls, it perfectly meets enterprise-level demands fo
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