Moonshot LLM Models

Kimi è un modello linguistico di grandi dimensioni sviluppato da Moonshot AI, progettato per il ragionamento, la programmazione e la comprensione di contesti lunghi. Offre buone prestazioni in compiti complessi come la generazione di codice, l'analisi e gli assistenti intelligenti. Con prestazioni elevate e un'architettura efficiente, Kimi è adatto per applicazioni di IA aziendale e casi d'uso per sviluppatori. Il suo equilibrio tra capacità e costo lo rende una scelta sempre più popolare nell'ecosistema degli LLM.

Explore the Leading Moonshot LLM Models

Atlas Cloud ti fornisce i più recenti modelli creativi leader del settore.

Cosa Rende Speciale Moonshot LLM Models

Atlas Cloud ti fornisce i più recenti modelli creativi leader del settore.

Ragionamento di Frontiera

Modelli ottimizzati per il ragionamento profondo, la risoluzione di problemi complessi e l'esecuzione di istruzioni a più passaggi in attività del mondo reale.

Padronanza del contesto lungo

Supporto per input molto lunghi, consentendo cronologie di chat ricche, documenti di grandi dimensioni e comprensione del codice multi-file.

Potenza Bilingue

Cinese di livello madrelingua e forti capacità in inglese per ricerca, analisi e creazione di contenuti interlinguistici.

Ecosistema sviluppatori

API, SDK e strumenti che facilitano la creazione, l'integrazione e l'iterazione di prodotti basati su Moonshot.

Affidabilità aziendale

Funzionalità di SLA, monitoraggio e governance progettate per i team che distribuiscono applicazioni AI mission-critical.

Prestazioni economicamente efficienti

L'architettura ottimizzata e lo stack di servizio bilanciano qualità, velocità e costo a livello di token per i carichi di lavoro di produzione.

Cosa Puoi Fare con Moonshot LLM Models

Atlas Cloud ti fornisce i più recenti modelli creativi leader del settore.

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())

Sviluppa assistenti di livello enterprise per un ragionamento preciso su contesti lunghi.

Accelera la programmazione, la ricerca e l'analisi con potenti capacità di ragionamento e tool-calling.

Esegui flussi di lavoro basati su documenti lunghi e interazioni multi-turn.

Ottimizza costi e latenza scegliendo tra le varianti.

Implementalo in applicazioni che richiedono risposte affidabili e basate sui fatti.

Esegui il deployment in sicurezza tramite API o configurazioni di cloud privato/VPC.

Why Use Moonshot LLM Models on Atlas Cloud

Combining the advanced Moonshot LLM Models models with Atlas Cloud's GPU-accelerated platform provides unmatched performance, scalability, and developer experience.

Performance & flexibility

Low Latency:
GPU-optimized inference for real-time reasoning.

Unified API:
Run Moonshot LLM Models, GPT, Gemini, and DeepSeek with one integration.

Transparent Pricing:
Predictable per-token billing with serverless options.

Enterprise & Scale

Developer Experience:
SDKs, analytics, fine-tuning tools, and templates.

Reliability:
99.99% uptime, RBAC, and compliance-ready logging.

Security & Compliance:
SOC 2 Type II, HIPAA alignment, data sovereignty in US.

Explore More Families

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.

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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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family

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.

View Family