MiniMax M2.1 LLM Models
MiniMax M2.1/M2 LLM is a long-context foundation model built with a hybrid architecture combining lightning attention, standard attention, and Mixture-of-Experts layers. It’s designed for efficient inference, strong reasoning, and handling extremely long inputs—scaling up to millions of tokens.
Explorar Modelos Líderes(2)
MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 billion activated parameters, it delivers a major jump in real-world capability while maintaining exceptional latency, scalability, and cost efficiency.
MiniMax M2.1
MiniMax-M2 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 billion activated parameters, it delivers a major jump in real-world capability while maintaining exceptional latency, scalability, and cost efficiency.
MiniMax-M2
Aspectos Destacados - MiniMax M2.1 LLM Models
Frontier-Scale Reasoning
State-of-the-art language models built for deep reasoning, complex problem-solving, and multi-step planning.
Ultra Long-Context Understanding
Lightning-style attention and optimized architecture enable MiniMax models to process and retain long contexts,
Cost-Efficient MoE Performance
Mixture-of-Experts designs deliver high intelligence, low latency, and significantly better price-performance.
Versatile Model Family
From powerful general-purpose models to coding- and agent-optimized variants.
Enterprise-Ready Reliability
Stable, scalable infrastructure with monitoring and safety for production use.
Open & Developer-Friendly
Rich APIs, SDKs, and open-weight releases give builders flexibility to integrate, fine-tune, or self-host.
Escenarios de Aplicación - MiniMax M2.1 LLM Models
Build advanced assistants with strong reasoning and long-context understanding.
Accelerate coding workflows using MiniMax-M2 for fast generation and debugging.
Run long-document and multi-file tasks with MiniMax’s ultra-long context capabilities.
Optimize cost and speed through MiniMax’s efficient MoE architecture.
Apply MiniMax models to finance, compliance, analytics, and enterprise automation.
Deploy open-weight MiniMax models for customizable and self-hosted AI solutions.
Por Qué Usar MiniMax M2.1 LLM Models en Atlas Cloud
Combina modelos avanzados de MiniMax M2.1 LLM Models con la plataforma acelerada por GPU de Atlas Cloud, proporcionando rendimiento, escalabilidad y experiencia de desarrollo incomparables.
MiniMax’s M2.1/M2 frontier-scale reasoning and ultra-long memory for limitless understanding.
Rendimiento y Flexibilidad
Baja Latencia:
Inferencia optimizada por GPU para respuestas en tiempo real.
API Unificada:
Una sola integración para acceder a MiniMax M2.1 LLM Models, GPT, Gemini y DeepSeek.
Precios Transparentes:
Facturación por Token, soporta modo Serverless.
Empresa y Escala
Experiencia del Desarrollador:
SDK, análisis de datos, herramientas de ajuste fino y plantillas todo en uno.
Confiabilidad:
99.99% de disponibilidad, control de permisos RBAC, registros de cumplimiento.
Seguridad y Cumplimiento:
Certificación SOC 2 Type II, cumplimiento HIPAA, soberanía de datos en EE.UU.
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MiniMax M2.1 LLM Models
MiniMax M2.1/M2 LLM is a long-context foundation model built with a hybrid architecture combining lightning attention, standard attention, and Mixture-of-Experts layers. It’s designed for efficient inference, strong reasoning, and handling extremely long inputs—scaling up to millions of tokens.
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The Z.ai GLM LLM family pairs strong language understanding and reasoning with efficient inference to keep costs low, offering flexible deployment and tooling that make it easy to customize and scale advanced AI across real-world products.
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Explore OpenAI’s language and video models on Atlas Cloud: ChatGPT for advanced reasoning and interaction, and Sora-2 for physics-aware video generation.
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Todo en Atlas Cloud.
