OpenAI LLM Models
OpenAI’s premier GPT model family leads the industry, highlighted by the GPT OSS 120B which achieves near-parity with OpenAI o4-mini on core reasoning benchmarks while running efficiently on a single 80GB GPU. Perfectly optimized for vibecoding and complex logic operations, this model balances top-tier intelligence with hardware accessibility for modern developers and AI-driven web development.
Explore the Leading OpenAI LLM Models
Atlas Cloud ti fornisce i più recenti modelli creativi leader del settore.
Cosa Rende Speciale OpenAI LLM Models
Atlas Cloud ti fornisce i più recenti modelli creativi leader del settore.
Frontier Research
Cutting-edge models that set global benchmarks in reasoning, multimodality, and AI safety.
Cost-Efficient Performance
Optimized families like GPT-4.1 mini and GPT-5 nano balance accuracy, speed, and cost.
Developer Ecosystem
APIs powering millions of daily requests across diverse platforms and industries.
Flexible Model Sizes
Choice of flagship, mini, and nano models for every workload and budget.
Enterprise Reliability
SLAs, monitoring, and compliance-ready logging trusted by Fortune 500 companies.
Open Model Options
Access to open-source models (gpt-oss-20b, gpt-oss-120b) for transparency and customization.
Velocità di punta
Costo più basso
| Modello | Descrizione |
|---|---|
| GPT OSS 120B | GPT OSS 120B è un LLM ad alte prestazioni incentrato sul ragionamento, che integra un'architettura ottimizzata con robuste capacità di elaborazione del contesto di 131.07K; raggiungendo quasi la parità con OpenAI o4-mini su una singola GPU da 80 GB, funge da motore per lo sviluppo iterativo rapido, incluso il vibecoding e l'esecuzione di flussi di lavoro complessi guidati dalla logica. |
Nuove funzionalità di OpenAI 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.
Rispetto preciso delle istruzioni tramite GPT OSS 120B
GPT OSS 120B mostra un'eccezionale manovrabilità, aderendo rigorosamente a prompt di sistema complessi per garantire un'assoluta affidabilità dell'output. Sfruttando la sua architettura di allineamento perfezionata (fine-tuned), gli utenti possono imporre formati specifici, vincoli e sfumature stilistiche con zero deriva dei caratteri. È la scelta definitiva per agenti autonomi, estrazione di dati strutturati e ambienti di produzione mission-critical.
Sovranità commerciale sotto licenza Apache 2.0
GPT OSS 120B è distribuito sotto licenza Apache 2.0, consentendo un utilizzo commerciale illimitato e un fine-tuning privato senza costi per token. A differenza delle API closed-source, permette l'hosting locale su una singola GPU da 80 GB per mantenere i dati proprietari sensibili interamente on-premise. Questo framework fornisce la libertà legale e tecnica per costruire, modificare e scalare stack software guidati dall'IA.
Logica ad alta efficienza e Vibecoding con GPT OSS 120B
Raggiungendo quasi la parità con OpenAI o4-mini, questo modello da 120B di parametri eccelle nella gestione di sintesi di codice complessa e dimostrazioni matematiche. Gli sviluppatori possono sfruttare il suo motore di ragionamento per il "vibe coding", traducendo idee in linguaggio naturale direttamente in applicazioni web funzionali attraverso prompting iterativo. È una soluzione ad alta velocità per il debug di logica annidata e l'orchestrazione di flussi di lavoro sofisticati di pianificazione delle attività.
Cosa Puoi Fare con OpenAI 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.
Debugging della logica profonda e prototipazione con GPT OSS 120B
Il GPT OSS 120B consente agli ingegneri di risolvere le sfide del "vibecoding" traducendo idee architettoniche di alto livello in componenti Python o React pronti per la produzione. Il suo motore di ragionamento gestisce le dipendenze nidificate e i casi limite che spesso mettono in difficoltà i mini-modelli, garantendo che la sintesi del codice in più passaggi rimanga funzionale. Supportando prove algoritmiche e la pianificazione di attività complesse, è lo strumento perfetto per costruire MVP tecnici, script QA automatizzati e applicazioni web ad alta intensità di dati.
Strumentazione proprietaria offline utilizzando GPT OSS 120B
Sotto la licenza Apache 2.0, i team possono ospitare GPT OSS 120B su una singola GPU da 80 GB per elaborare dati interni sensibili senza rischi di fuga nel cloud. Questa configurazione consente il fine-tuning locale permanente su codebase interne di nicchia o registri medici senza costi API ricorrenti per token. Ideale per strumenti interni ad alta sicurezza e assistenza IA offline, il modello offre la piena sovranità dei pesi, supportando sistemi RAG privati e stack software proprietari personalizzati.
Estrazione dati a schema perfetto con GPT OSS 120B
Il GPT OSS 120B consente agli sviluppatori di convertire documenti disordinati e non strutturati in JSON o Markdown rigorosamente formattati senza "deriva delle istruzioni". Ancorando la finestra di contesto di 131.07K con rigide regole di sistema, il modello garantisce che i campi non vengano mai allucinati o saltati durante l'elaborazione di testi lunghi. Ideale per l'automazione CRM e l'etichettatura automatizzata dei contenuti, mantiene barriere logiche su enormi set di dati, supportando integrazioni API affidabili e il popolamento dei database.
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 |
|---|---|---|---|---|
| GPT OSS 120B | 131.07K | 131.07K | Testo | LLM di ragionamento ad alta efficienza |
| GLM-5 | 202.75K | 202.75K | Testo | Modello di fondazione di punta |
| DeepSeek V3.2 | 163.84K | 163.84K | Testo | Generale di punta |
| MiniMax-M2.5 | 204.8K | 196.6K | Testo | Programmazione agentica SOTA |
How to Use OpenAI 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 OpenAI LLM Models on Atlas Cloud
Combining the advanced OpenAI 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 OpenAI 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 OpenAI LLM Models
Raggiunge una quasi parità con OpenAI o4-mini nei benchmark di ragionamento di base e matematica. Mentre o4-mini è un'API chiusa, OSS 120B offre una profondità logica comparabile con il vantaggio aggiunto dell'accesso completo ai pesi del modello.
Il modello è ottimizzato per una singola GPU da 80 GB, evitando la complessità del multi-nodo. Tuttavia, per una scalabilità immediata e zero manutenzione, consigliamo di accedervi tramite API su Atlas Cloud.
Sì. È rilasciato sotto licenza Apache 2.0, che consente l'uso commerciale, la modifica e la distribuzione illimitati senza costi di licenza per token o vendor lock-in.
La finestra di contesto da 131.07K è progettata per una precisione di recupero tipo "ago nel pagliaio". Può acquisire intere directory di progetto o manuali tecnici di oltre 100 pagine mantenendo la coerenza logica in tutto l'input.
Estremamente. Il suo motore di ragionamento è perfezionato per la sintesi iterativa del codice. Gestisce componenti React nidificati e backend Python complessi in modo più affidabile rispetto ai modelli standard della classe 70B, rendendolo ideale per i flussi di lavoro da linguaggio naturale ad app.
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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.
Nano Banana 2 Image 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.
Seedream 5.0 Image 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.
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.
Kling 3.0 Video 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.
Vidu Video Models
Vidu, a joint innovation by Shengshu AI and Tsinghua University, is a high-performance video model powered by the original U-ViT architecture that blends Diffusion and Transformer technologies. It delivers long-form, highly consistent, and dynamic video content tailored for professional filmmaking, animation design, and creative advertising. By streamlining high-end visual production, Vidu empowers creators to transform complex ideas into cinematic reality with unprecedented efficiency.
Van Video Models
Built on the Wan 2.5 and 2.6 frameworks, Van Model is a flagship AI video series that delivers superior high-resolution outputs with unmatched creative freedom. By blending cinematic 3D VAE visuals with Flow Matching dynamics, it leverages proprietary compute distillation to offer ultra-fast inference speeds at a fraction of the cost, making it the premier engine for scalable, high-frequency video production on a budget.
MiniMax LLM Models
As a premier suite of Large Language Models (LLMs) developed by MiniMax AI, MiniMax is engineered to redefine real-world productivity through cutting-edge artificial intelligence. The ecosystem features MiniMax M2.5, which is purpose-built for high-efficiency professional environments, and MiniMax M2.1, a model that offers significantly enhanced multi-language programming capabilities to master complex, large-scale technical tasks. By achieving SOTA performance in coding, agentic tool use, intelligent search, and office workflow automation, MiniMax empowers users to streamline a wide range of economically valuable operations with unparalleled precision and reliability.
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.
Promote Models (Qwen)
Wan 2.7 Video 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.
Nano Banana 2 Image 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.
Seedream 5.0 Image 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.
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.
Kling 3.0 Video 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.
Vidu Video Models
Vidu, a joint innovation by Shengshu AI and Tsinghua University, is a high-performance video model powered by the original U-ViT architecture that blends Diffusion and Transformer technologies. It delivers long-form, highly consistent, and dynamic video content tailored for professional filmmaking, animation design, and creative advertising. By streamlining high-end visual production, Vidu empowers creators to transform complex ideas into cinematic reality with unprecedented efficiency.
Van Video Models
Built on the Wan 2.5 and 2.6 frameworks, Van Model is a flagship AI video series that delivers superior high-resolution outputs with unmatched creative freedom. By blending cinematic 3D VAE visuals with Flow Matching dynamics, it leverages proprietary compute distillation to offer ultra-fast inference speeds at a fraction of the cost, making it the premier engine for scalable, high-frequency video production on a budget.
MiniMax LLM Models
As a premier suite of Large Language Models (LLMs) developed by MiniMax AI, MiniMax is engineered to redefine real-world productivity through cutting-edge artificial intelligence. The ecosystem features MiniMax M2.5, which is purpose-built for high-efficiency professional environments, and MiniMax M2.1, a model that offers significantly enhanced multi-language programming capabilities to master complex, large-scale technical tasks. By achieving SOTA performance in coding, agentic tool use, intelligent search, and office workflow automation, MiniMax empowers users to streamline a wide range of economically valuable operations with unparalleled precision and reliability.
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.
