Moonshot LLM Models

Kimi es un gran modelo de lenguaje desarrollado por Moonshot AI, diseñado para el razonamiento, la programación y la comprensión de contextos largos. Se desempeña bien en tareas complejas como la generación de código, el análisis y los asistentes inteligentes. Con un rendimiento sólido y una arquitectura eficiente, Kimi es adecuado para aplicaciones de IA empresarial y casos de uso para desarrolladores. Su equilibrio entre capacidad y costo lo convierte en una opción cada vez más popular en el ecosistema de LLM.

Explorar Modelos Líderes

Atlas Cloud le proporciona los últimos modelos creativos líderes en la industria.

Qué Hace Destacar a Moonshot LLM Models

Atlas Cloud le proporciona los modelos creativos líderes en la industria más recientes.

Razonamiento de Frontera

Modelos optimizados para el razonamiento profundo, la resolución de problemas complejos y el seguimiento de instrucciones de varios pasos en tareas del mundo real.

Dominio de contexto largo

Soporte para entradas muy largas, permitiendo historiales de chat enriquecidos, documentos grandes y comprensión de código en múltiples archivos.

Potencia Bilingüe

Nivel nativo de chino y sólida capacidad en inglés para la búsqueda, el análisis y la creación de contenido interlingües.

Ecosistema de desarrolladores

APIs, SDKs y herramientas que facilitan la creación, integración e iteración de productos impulsados por Moonshot.

Fiabilidad empresarial

Funciones de SLA, monitorización y gobernanza diseñadas para equipos que despliegan aplicaciones de IA de misión crítica.

Rendimiento rentable

La arquitectura optimizada y la pila de servicio equilibran la calidad, la velocidad y el coste a nivel de token para cargas de trabajo de producción.

Qué Puede Hacer con Moonshot LLM Models

Atlas Cloud le proporciona los modelos creativos líderes en la industria más recientes.

1import requests
2
3url = "https://api.atlascloud.ai/v1/chat/completions"
4headers = {
5    "Content-Type": "application/json",
6    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
7}
8data = {
9    "model": "",
10    "messages": [
11        {
12            "role": "user",
13            "content": "what is difference between http and https"
14        }
15    ],
16    "max_tokens": 32768,
17    "temperature": 1,
18    "stream": True
19}
20
21response = requests.post(url, headers=headers, json=data)
22print(response.json())

Cree asistentes de nivel empresarial para un razonamiento preciso de contexto largo.

Acelere la programación, la búsqueda y el análisis con potentes capacidades de razonamiento e invocación de herramientas.

Ejecuta flujos de trabajo de documentos largos y de múltiples turnos.

Optimiza el costo y la latencia eligiendo entre las variantes.

Aplíquelo en aplicaciones que requieran respuestas fiables y basadas en hechos.

Despliegue de forma segura mediante API o entornos de nube privada/VPC.

Por Qué Usar Moonshot LLM Models en Atlas Cloud

Combina modelos avanzados de Moonshot LLM Models con la plataforma acelerada por GPU de Atlas Cloud, proporcionando rendimiento, escalabilidad y experiencia de desarrollo incomparables.

Rendimiento y Flexibilidad

Baja Latencia:
Inferencia optimizada por GPU para respuestas en tiempo real.

API Unificada:
Una sola integración para acceder a Moonshot 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.

Explorar Más Series

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Vidu Video Models

Vidu (by ShengShu Technology) is a foundational video model built on the proprietary U-ViT architecture, combining the strengths of Diffusion and Transformer models. It features superior semantic understanding and generation capabilities, producing coherent, fluid visuals that adhere to physical laws without the need for interpolation. With exceptional spatiotemporal consistency and a deep understanding of diverse cultural elements, Vidu empowers professional filmmakers and creators with a stable, efficient, and imaginative tool for video production.

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MiniMax LLM Models

MiniMax is a large language model developed by MiniMax AI, focused on efficient reasoning, long-context understanding, and scalable text generation. It is designed for complex tasks such as dialogue systems, document analysis, content creation, and AI agents. With an emphasis on high performance at lower computational cost, MiniMax is well suited for enterprise applications and developer use cases where stability, efficiency, and cost control are important.

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GLM LLM Models

GLM (General Language Model) is a large language model developed by ZAI (Zhipu AI) for text understanding, generation, and reasoning. It supports both Chinese and English and performs well in dialogue, content creation, translation, and code assistance. GLM is widely used in chatbots, enterprise AI systems, and developer applications due to its stable performance and versatility.

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Moonshot LLM Models

Kimi is a large language model developed by Moonshot AI, designed for reasoning, coding, and long-context understanding. It performs well in complex tasks such as code generation, analysis, and intelligent assistants. With strong performance and efficient architecture, Kimi is suitable for enterprise AI applications and developer use cases. Its balance of capability and cost makes it an increasingly popular choice in the LLM ecosystem.

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Open AI Model Families

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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Van Video Models

Van Model is a flagship video model family, perfectly retaining the cinematic visuals and complex dynamics of 3D VAE and Flow Matching. By leveraging proprietary compute distillation, it breaks the "quality equals cost" barrier to deliver extreme inference speeds and ultra-low costs. This makes Van the premier engine for enterprises and developers seeking high-frequency, scalable video production on a budget.

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Kling 3.0 Video Models

Kling AI Video 3.0 (by Kuaishou) is a groundbreaking model designed to bridge the worlds of sound and visuals through its unique Single-pass architecture. By simultaneously generating visuals, natural voiceovers, sound effects, and ambient atmosphere, it eliminates the disjointed workflows of traditional tools. This true audio-visual integration simplifies complex post-production, providing creators with an immersive storytelling solution that significantly boosts both creative depth and output efficiency.

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Veo3.1 Video Models

Veo 3.1 (by Google) is a flagship generative video model that sets a new standard for cinematic AI by deeply integrating semantic capabilities to deliver cinematic visuals, synchronized audio, and complex storytelling in a single workflow. Distinguishing itself through superior adherence to cinematic terminology and physics-based consistency, it offers professional filmmakers an unparalleled tool for transforming scripts into coherent, high-fidelity productions with precise directorial control.

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Sora-2 Video Models

The Sora-2 family from OpenAI is the next-generation video + audio generation model, enabling both text-to-video and image-to-video outputs with synchronized dialogue, sound effect, improved physical realism, and fine-grained control.

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Nano Banana Image Models

Nano Banana is a fast, lightweight image generation model for playful, vibrant visuals. Optimized for speed and accessibility, it creates high-quality images with smooth shapes, bold colors, and clear compositions—perfect for mascots, stickers, icons, social posts, and fun branding.

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Wan2.6 Video Models

Wan 2.6 is a next-generation AI video generation model from Alibaba’s Tongyi Lab, designed for professional-quality, multimodal video creation. It combines advanced narrative understanding, multi-shot storytelling, and native audio–visual synchronization to produce smooth 1080p videos up to 15 s long from text and reference inputs. Wan 2.6 also supports character consistency and role-guided generation, enabling creators to turn scripts into cohesive scenes with seamless motion and lip syncing. Its efficiency and rich creative control make it ideal for short films, advertising, social media content, and automated video workflows.

Ver Serie

Seedance 2.0 Video Models

Seedance 2.0(by Bytedance) is a multimodal video generation model that redefines "controllable creation," moving beyond the limitations of text or start/end frames. It supports quad-modal inputs—text, image, video, and audio—and introduces an industry-leading "Universal Reference" system. By precisely replicating the composition, camera movement, and character actions from reference assets, Seedance 2.0 solves critical issues with character consistency and physical coherence, empowering creators to act as true "directors" with deep control over their output.

Ver Serie

Vidu Video Models

Vidu (by ShengShu Technology) is a foundational video model built on the proprietary U-ViT architecture, combining the strengths of Diffusion and Transformer models. It features superior semantic understanding and generation capabilities, producing coherent, fluid visuals that adhere to physical laws without the need for interpolation. With exceptional spatiotemporal consistency and a deep understanding of diverse cultural elements, Vidu empowers professional filmmakers and creators with a stable, efficient, and imaginative tool for video production.

Ver Serie

MiniMax LLM Models

MiniMax is a large language model developed by MiniMax AI, focused on efficient reasoning, long-context understanding, and scalable text generation. It is designed for complex tasks such as dialogue systems, document analysis, content creation, and AI agents. With an emphasis on high performance at lower computational cost, MiniMax is well suited for enterprise applications and developer use cases where stability, efficiency, and cost control are important.

Ver Serie

GLM LLM Models

GLM (General Language Model) is a large language model developed by ZAI (Zhipu AI) for text understanding, generation, and reasoning. It supports both Chinese and English and performs well in dialogue, content creation, translation, and code assistance. GLM is widely used in chatbots, enterprise AI systems, and developer applications due to its stable performance and versatility.

Ver Serie

Moonshot LLM Models

Kimi is a large language model developed by Moonshot AI, designed for reasoning, coding, and long-context understanding. It performs well in complex tasks such as code generation, analysis, and intelligent assistants. With strong performance and efficient architecture, Kimi is suitable for enterprise AI applications and developer use cases. Its balance of capability and cost makes it an increasingly popular choice in the LLM ecosystem.

Ver Serie

Open AI Model Families

Explore OpenAI’s language and video models on Atlas Cloud: ChatGPT for advanced reasoning and interaction, and Sora-2 for physics-aware video generation.

Ver Serie

Van Video Models

Van Model is a flagship video model family, perfectly retaining the cinematic visuals and complex dynamics of 3D VAE and Flow Matching. By leveraging proprietary compute distillation, it breaks the "quality equals cost" barrier to deliver extreme inference speeds and ultra-low costs. This makes Van the premier engine for enterprises and developers seeking high-frequency, scalable video production on a budget.

Ver Serie

Kling 3.0 Video Models

Kling AI Video 3.0 (by Kuaishou) is a groundbreaking model designed to bridge the worlds of sound and visuals through its unique Single-pass architecture. By simultaneously generating visuals, natural voiceovers, sound effects, and ambient atmosphere, it eliminates the disjointed workflows of traditional tools. This true audio-visual integration simplifies complex post-production, providing creators with an immersive storytelling solution that significantly boosts both creative depth and output efficiency.

Ver Serie

Veo3.1 Video Models

Veo 3.1 (by Google) is a flagship generative video model that sets a new standard for cinematic AI by deeply integrating semantic capabilities to deliver cinematic visuals, synchronized audio, and complex storytelling in a single workflow. Distinguishing itself through superior adherence to cinematic terminology and physics-based consistency, it offers professional filmmakers an unparalleled tool for transforming scripts into coherent, high-fidelity productions with precise directorial control.

Ver Serie

Sora-2 Video Models

The Sora-2 family from OpenAI is the next-generation video + audio generation model, enabling both text-to-video and image-to-video outputs with synchronized dialogue, sound effect, improved physical realism, and fine-grained control.

Ver Serie

Nano Banana Image Models

Nano Banana is a fast, lightweight image generation model for playful, vibrant visuals. Optimized for speed and accessibility, it creates high-quality images with smooth shapes, bold colors, and clear compositions—perfect for mascots, stickers, icons, social posts, and fun branding.

Ver Serie

Wan2.6 Video Models

Wan 2.6 is a next-generation AI video generation model from Alibaba’s Tongyi Lab, designed for professional-quality, multimodal video creation. It combines advanced narrative understanding, multi-shot storytelling, and native audio–visual synchronization to produce smooth 1080p videos up to 15 s long from text and reference inputs. Wan 2.6 also supports character consistency and role-guided generation, enabling creators to turn scripts into cohesive scenes with seamless motion and lip syncing. Its efficiency and rich creative control make it ideal for short films, advertising, social media content, and automated video workflows.

Ver Serie