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.
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.
Velocità di picco
Costo più basso
| Modello | Descrizione |
|---|---|
| Kimi K2.5 | Kimi K2.5 è un LLM multimodale di punta, che integra un pre-addestramento continuo su 15T token misti visivi e testuali con un'elaborazione del contesto di 262,14K; vantando una Visual Agentic Intelligence, funge da frontiera per il ragionamento cross-modale complesso e la sofisticata automazione dei compiti visivi. |
| Kimi-K2-Thinking | Kimi-K2-Thinking è un LLM specializzato ad alto ragionamento, che integra profonde architetture chain-of-thought con robuste capacità analitiche; vantando una profondità cognitiva oltre i limiti del grado riflesso, funge da motore per inferenze logiche complesse e flussi di lavoro intricati di risoluzione dei problemi. |
| Kimi-K2-Instruct-0905 | Kimi-K2-Instruct-0905 è un LLM agentico ottimizzato, che integra una capacità di codifica potenziata con un ampio supporto contestuale di 262.14K; vantando un'esecuzione ad alta precisione, funge da catalizzatore per la gestione di codebase su larga scala e per operazioni agentiche avanzate incentrate sullo sviluppatore. |
| Kimi-K2-Instruct | Kimi-K2-Instruct è un LLM generico ottimizzato, che integra meccanismi di risposta di grado riflesso con capacità di elaborazione del contesto di 131,07K; vantando un framework post-addestramento raffinato, funge da interfaccia primaria per chat immediate ed esperienze agentiche agili e dirette. |
Nuove funzionalità di Moonshot LLM Models + Showcase
La combinazione di modelli avanzati con la piattaforma accelerata da GPU di Atlas Cloud offre velocità, scalabilità e controllo creativo senza pari per la generazione di immagini e video.
Esecuzione di task swarm con Kimi K2.5
Kimi K2.5 sostituisce il ragionamento a thread singolo coordinando fino a 100 sotto-agenti per lavorare su obiettivi complessi in parallelo. Suddividendo progetti enormi in passaggi gestibili, gli utenti possono completare flussi di lavoro multistadio 4,5 volte più velocemente rispetto all'uso di modelli IA standard. È la soluzione definitiva per automatizzare la gestione di progetti di alto livello ed eseguire istruzioni professionali a catena lunga.
Analisi video diretta con Kimi K2.5
Kimi K2.5 supporta input diretti di video e immagini per comprendere movimenti, sequenze logiche e layout complessi senza plugin esterni. Alimentando il modello con registrazioni dello schermo o file di progettazione, gli utenti possono estrarre istantaneamente dettagli architettonici e dati visivi con precisione millimetrica. È la soluzione definitiva per l'interpretazione video in tempo reale e per colmare il divario tra risorse visive e logica testuale.
Generazione di frontend estetico con Kimi K2.5
Kimi K2.5 combina una logica di backend professionale con un occhio raffinato per il design e il movimento 3D interattivo. Caricando mockup dell'interfaccia utente o clip dimostrative, gli utenti possono generare codice funzionale per Three.js e animazioni complesse che sono sia robuste che visivamente sbalorditive. È la soluzione definitiva per gli sviluppatori che necessitano di un codice che non solo funzioni, ma segua principi di design di alto livello.
Cosa Puoi Fare con Moonshot LLM Models
Scopri casi d'uso pratici e workflow che puoi costruire con questa famiglia di modelli — dalla creazione di contenuti e automazione alle applicazioni di livello produzione.
Generazione frontend Visual-to-Code con Kimi K2.5
Il Kimi K2.5 trasforma screenshot di design statici o video dimostrativi dell'interfaccia utente in codebase funzionali React o Vue integrate con animazioni Three.js. Perfetto per sviluppatori creativi e prototipazione rapida, il modello preserva l'illuminazione complessa e il movimento, supportando la creazione istantanea di landing page 3D, dashboard di dati interattive e micrositi di marketing raffinati.
Audit approfondito dei documenti con il Kimi K2.5 Context Engine
Kimi K2.5 consente ai professionisti della finanza e del diritto di caricare centinaia di pagine di rapporti disparati per identificare clausole contrastanti o tendenze di dati nascoste in pochi secondi. Ponendo domande specifiche sui fattori di rischio o sulle cifre finanziarie, gli utenti possono generare tabelle di confronto strutturate con citazioni dirette ai numeri di pagina. È la soluzione definitiva per una due diligence esaustiva e l'audit di enormi archivi di documenti senza lettura manuale.
Sintesi di logica narrativa complessa con il modello Kimi K2.5
Il Kimi K2.5 Model consente a sceneggiatori e game designer di espandere semplici prompt di personaggi in sceneggiature episodiche complete con una perfetta coerenza della trama e una logica a ramificazioni multiple. Ideale per la costruzione di mondi immersivi e media a forte componente narrativa, il modello traccia gli archi narrativi a lungo termine senza contraddizioni, supportando la creazione di alberi di dialogo interattivi, storyboard episodici e bibbie di lore dettagliate.
Confronto Modelli
Scopri come si confrontano i modelli di diversi provider — confronta prestazioni, prezzi e punti di forza unici per una decisione informata.
| Modello | Contesto | Output massimo | Input | Posizionamento |
|---|---|---|---|---|
| Kimi K2.5 | 262.14K | 262.14K | Text | LLM multimodale di punta |
| Kimi-K2-Thinking | 262.14K | 262.14K | Text | LLM specializzato ad elevate capacità di ragionamento |
| Kimi-K2-Instruct-0905 | 262.14K | 32.77K | Text | Output massimo |
| Kimi-K2-Instruct | 131.07K | 131.07K | Text | LLM generico ottimizzato |
| MiniMax M2.5 | 196.61K | 196.6K | Text | Programmazione agentica all'avanguardia |
| GLM-5 | 202.75K | 202.75K | Text | Modello fondazionale di punta |
| DeepSeek V3.2 | 163.84K | 163.84K | Text | Generale di punta |
How to Use Moonshot LLM Models on Atlas Cloud
Get started in minutes — follow these simple steps to integrate and deploy models through Atlas Cloud’s platform.
Create an Atlas Cloud Account
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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.
Domande Frequenti su Moonshot LLM Models
Kimi K2.5 supporta una finestra di contesto di 262,14K token, consentendo agli utenti di caricare e analizzare enormi dataset, lunghi manuali tecnici o intere codebase in un'unica sessione.
Consente al modello di scomporre un obiettivo complesso in più sotto-attività, orchestrando fino a 100 agenti autonomi per lavorare in parallelo, il che si traduce in un'esecuzione fino a 4,5 volte più veloce rispetto ai modelli a agente singolo.
Sì. Oltre alle immagini statiche, Kimi K2.5 dispone di una visione multimodale nativa che analizza i flussi video diretti per identificare schemi di movimento, sequenze logiche e disposizioni spaziali con una precisione a livello di frame.
Altamente capace. Ottiene un punteggio del 76,8% su SWE-bench Verified, il che significa che può tradurre screenshot di design in codice pronto per la produzione integrato con complesse animazioni Three.js e layout reattivi.
È possibile accedere a Kimi K2.5 tramite API compatibili con OpenAI ospitate su Atlas Cloud, consentendo una sostituzione "drop-in" fluida senza dover riscrivere la logica attuale dell'applicazione.
Explore More Families
Happy Horse 1.0
HappyHorse-1.0 is a unified multimodal AI video generation model that climbed to the top of the Artificial Analysis Video Arena blind-test leaderboard for both text-to-video and image-to-video generation. CNBC Alibaba Group confirmed ownership of HappyHorse, developed under its Alibaba Token Hub (ATH) business unit, where it leads benchmarks outperforming ByteDance's Seedance 2.0 and others. Caixin Global Led by Zhang Di — the former VP of Kuaishou who architected Kling AI — the 15-billion parameter model generates 1080p video with synchronized audio in a single pass using a unified transformer architecture that bypasses the multi-stage pipelines used by every major competitor.
Seedance 2.0 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.
GPT Image 2 Models
GPT Image 2 is a state-of-the-art multimodal foundation model engineered for exceptional text-to-image generation with unprecedented photorealism and creative versatility. Developed by OpenAI as the evolution of the DALL-E lineage, it transforms detailed natural language descriptions into hyper-realistic imagery at up to 4K resolution. With proprietary "Neural Rendering Engine" technology for precise visual control, GPT Image 2 delivers studio-quality results with accurate anatomy, lighting, and composition—making it the premier AI tool for professional creators, enterprises, and developers demanding production-ready visual assets.
Wan2.7 Models
Launching this March, Wan2.7 is the latest powerhouse in the Qwen ecosystem, delivering a massive upgrade in visual fidelity, audio synchronization, and motion consistency over version 2.6. This all-in-one AI video generator supports advanced features like first-and-last frame control, 3x3 grid synthesis, and instruction-based video editing. Outperforming competitors like Jimeng, Wan2.7 offers superior flexibility with support for real-person image inputs, up to five video references, and 1080P high-definition outputs spanning 2 to 15 seconds, making it the premier choice for professional digital storytelling and high-end content marketing.
Veo3.1 Models
Google DeepMind’s Veo 3.1 represents a paradigm shift in AI video generation, empowering creators with director-level narrative control and cinematic-grade audio quality that seamlessly integrates with its enhanced visual realism. By bridging the gap between imaginative concepts and photorealistic execution, this advanced model offers a transformative solution for a wide range of application scenarios, from professional filmmaking and high-end advertising to immersive digital content creation.
ERNIE Image Models
ERNIE-Image is an open-weight text-to-image model developed by the ERNIE-Image Team at Baidu, built on a single-stream Diffusion Transformer (DiT) with 8B parameters and paired with a lightweight Prompt Enhancer that rewrites short prompts into richer, more structured descriptions before passing them to the diffusion backbone. NYU Shanghai RITS Released on April 15, 2026 under the Apache 2.0 license, it transforms natural language descriptions into detailed imagery with particular strength in text rendering and structured layout generation. ERNIE-Image is designed not only for strong visual quality, but for controllability in practical generation scenarios where accurate content realization matters as much as aesthetics — making it well-suited for commercial posters, comics, multi-panel layouts, and other content creation tasks that require both visual quality and precise control.
GPT Image Models
The GPT Image Family is OpenAI's latest suite of multimodal image generation and editing models, built on the powerful GPT architecture. This family includes three tiers — GPT Image-1, GPT Image-1.5, and GPT Image-1 Mini — each available in both Text-to-Image and Image-to-Image variants. Combining GPT's world-class language understanding with DALL·E-class visual synthesis, these models deliver exceptional prompt adherence, photorealistic rendering, and creative versatility across illustration, photography, design, and visualization tasks. The series offers flexible pricing and quality tiers to match any workflow — from rapid prototyping and high-volume content production to professional-grade final deliverables. Whether you need ultra-fast iterations at minimal cost or maximum quality for brand campaigns, the GPT Image Family has a solution tailored to your needs.
Nano Banana2 Models
Nano Banana 2 (by Google), is a generative image model that perfectly balances lightning-fast rendering with exceptional visual quality. With an improved price-performance ratio, it achieves breakthrough micro-detail depiction, accurate native text rendering, and complex physical structure reconstruction. It serves as a highly efficient, commercial-grade visual production tool for developers, marketing teams, and content creators.
Seedream5.0 Models
Seedream 5.0, developed by ByteDance’s Jimeng AI, is a high-performance AI image generation model that integrates real-time search with intelligent reasoning. Purpose-built for time-sensitive content and complex visual logic, it excels at professional infographics, architectural design, and UI assistance. By blending live web insights with creative precision, Seedream 5.0 empowers commercial branding and marketing with a seamless, logic-driven workflow that turns sophisticated data into stunning, high-fidelity visuals.
Kling3.0 Models
Kuaishou’s flagship video generation suite, Kling 3.0, features two powerhouse models—Kling 3.0 (Upgraded from Kling 2.6) and Kling 3.0 Omni (Kling O3, Upgraded from Kling O1)—both offering high-fidelity native audio integration. While Kling 3.0 excels in intelligent cinematic storytelling, multilingual lip-syncing, and precision text rendering, Kling O3 sets a new standard for professional-grade subject consistency by supporting custom subjects and voice clones derived from video or image inputs. Together, these models provide a comprehensive solution tailored for cinematic narratives, global marketing campaigns, social media content, and digital skit production.
GLM LLM Models
GLM is a cutting-edge LLM series by Z.ai (Zhipu AI) featuring GLM-5, GLM-4.7, and GLM-4.6. Engineered for complex systems and long-horizon agentic tasks, GLM-5 outperforms top-tier closed-source models in elite benchmarks like Humanity’s Last Exam and BrowseComp. While GLM-4.7 specializes in reasoning, coding, and real-world intelligent agents, the entire GLM suite is fast, smart, and reliable, making it the ultimate tool for building websites, analyzing data, and delivering instant, high-quality answers for any professional workflow.
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.
Happy Horse 1.0
HappyHorse-1.0 is a unified multimodal AI video generation model that climbed to the top of the Artificial Analysis Video Arena blind-test leaderboard for both text-to-video and image-to-video generation. CNBC Alibaba Group confirmed ownership of HappyHorse, developed under its Alibaba Token Hub (ATH) business unit, where it leads benchmarks outperforming ByteDance's Seedance 2.0 and others. Caixin Global Led by Zhang Di — the former VP of Kuaishou who architected Kling AI — the 15-billion parameter model generates 1080p video with synchronized audio in a single pass using a unified transformer architecture that bypasses the multi-stage pipelines used by every major competitor.
Seedance 2.0 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.
GPT Image 2 Models
GPT Image 2 is a state-of-the-art multimodal foundation model engineered for exceptional text-to-image generation with unprecedented photorealism and creative versatility. Developed by OpenAI as the evolution of the DALL-E lineage, it transforms detailed natural language descriptions into hyper-realistic imagery at up to 4K resolution. With proprietary "Neural Rendering Engine" technology for precise visual control, GPT Image 2 delivers studio-quality results with accurate anatomy, lighting, and composition—making it the premier AI tool for professional creators, enterprises, and developers demanding production-ready visual assets.
Wan2.7 Models
Launching this March, Wan2.7 is the latest powerhouse in the Qwen ecosystem, delivering a massive upgrade in visual fidelity, audio synchronization, and motion consistency over version 2.6. This all-in-one AI video generator supports advanced features like first-and-last frame control, 3x3 grid synthesis, and instruction-based video editing. Outperforming competitors like Jimeng, Wan2.7 offers superior flexibility with support for real-person image inputs, up to five video references, and 1080P high-definition outputs spanning 2 to 15 seconds, making it the premier choice for professional digital storytelling and high-end content marketing.
Veo3.1 Models
Google DeepMind’s Veo 3.1 represents a paradigm shift in AI video generation, empowering creators with director-level narrative control and cinematic-grade audio quality that seamlessly integrates with its enhanced visual realism. By bridging the gap between imaginative concepts and photorealistic execution, this advanced model offers a transformative solution for a wide range of application scenarios, from professional filmmaking and high-end advertising to immersive digital content creation.
ERNIE Image Models
ERNIE-Image is an open-weight text-to-image model developed by the ERNIE-Image Team at Baidu, built on a single-stream Diffusion Transformer (DiT) with 8B parameters and paired with a lightweight Prompt Enhancer that rewrites short prompts into richer, more structured descriptions before passing them to the diffusion backbone. NYU Shanghai RITS Released on April 15, 2026 under the Apache 2.0 license, it transforms natural language descriptions into detailed imagery with particular strength in text rendering and structured layout generation. ERNIE-Image is designed not only for strong visual quality, but for controllability in practical generation scenarios where accurate content realization matters as much as aesthetics — making it well-suited for commercial posters, comics, multi-panel layouts, and other content creation tasks that require both visual quality and precise control.
GPT Image Models
The GPT Image Family is OpenAI's latest suite of multimodal image generation and editing models, built on the powerful GPT architecture. This family includes three tiers — GPT Image-1, GPT Image-1.5, and GPT Image-1 Mini — each available in both Text-to-Image and Image-to-Image variants. Combining GPT's world-class language understanding with DALL·E-class visual synthesis, these models deliver exceptional prompt adherence, photorealistic rendering, and creative versatility across illustration, photography, design, and visualization tasks. The series offers flexible pricing and quality tiers to match any workflow — from rapid prototyping and high-volume content production to professional-grade final deliverables. Whether you need ultra-fast iterations at minimal cost or maximum quality for brand campaigns, the GPT Image Family has a solution tailored to your needs.
Nano Banana2 Models
Nano Banana 2 (by Google), is a generative image model that perfectly balances lightning-fast rendering with exceptional visual quality. With an improved price-performance ratio, it achieves breakthrough micro-detail depiction, accurate native text rendering, and complex physical structure reconstruction. It serves as a highly efficient, commercial-grade visual production tool for developers, marketing teams, and content creators.
Seedream5.0 Models
Seedream 5.0, developed by ByteDance’s Jimeng AI, is a high-performance AI image generation model that integrates real-time search with intelligent reasoning. Purpose-built for time-sensitive content and complex visual logic, it excels at professional infographics, architectural design, and UI assistance. By blending live web insights with creative precision, Seedream 5.0 empowers commercial branding and marketing with a seamless, logic-driven workflow that turns sophisticated data into stunning, high-fidelity visuals.
Kling3.0 Models
Kuaishou’s flagship video generation suite, Kling 3.0, features two powerhouse models—Kling 3.0 (Upgraded from Kling 2.6) and Kling 3.0 Omni (Kling O3, Upgraded from Kling O1)—both offering high-fidelity native audio integration. While Kling 3.0 excels in intelligent cinematic storytelling, multilingual lip-syncing, and precision text rendering, Kling O3 sets a new standard for professional-grade subject consistency by supporting custom subjects and voice clones derived from video or image inputs. Together, these models provide a comprehensive solution tailored for cinematic narratives, global marketing campaigns, social media content, and digital skit production.
GLM LLM Models
GLM is a cutting-edge LLM series by Z.ai (Zhipu AI) featuring GLM-5, GLM-4.7, and GLM-4.6. Engineered for complex systems and long-horizon agentic tasks, GLM-5 outperforms top-tier closed-source models in elite benchmarks like Humanity’s Last Exam and BrowseComp. While GLM-4.7 specializes in reasoning, coding, and real-world intelligent agents, the entire GLM suite is fast, smart, and reliable, making it the ultimate tool for building websites, analyzing data, and delivering instant, high-quality answers for any professional workflow.
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.
