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.
Modelle erscheinen bald
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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.
Was OpenAI LLM Models Auszeichnet
Atlas Cloud bietet Ihnen die neuesten branchenführenden kreativen Modelle.
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.
Spitzengeschwindigkeit
Niedrigste Kosten
| Modell | Beschreibung |
|---|---|
| GPT OSS 120B | GPT OSS 120B ist ein leistungsstarkes, auf Reasoning fokussiertes LLM, das eine optimierte Architektur mit robusten 131.07K Kontextverarbeitungsfähigkeiten integriert; es erreicht auf einer einzelnen 80 GB GPU nahezu Gleichstand mit OpenAI o4-mini und dient als Motor für schnelle iterative Entwicklung, einschließlich Vibecoding und der Ausführung komplexer logikgesteuerter Workflows. |
Neue Funktionen von OpenAI LLM Models + Showcase
Die Kombination fortschrittlicher Modelle mit der GPU-beschleunigten Plattform von Atlas Cloud bietet unübertroffene Geschwindigkeit, Skalierbarkeit und kreative Kontrolle für die Bild- und Videogenerierung.
Präzise Befolgung von Anweisungen via GPT OSS 120B
GPT OSS 120B weist eine außergewöhnliche Steuerbarkeit auf und hält sich strikt an komplexe System-Prompts, um absolute Ausgabezuverlässigkeit zu gewährleisten. Durch die Nutzung seiner fein abgestimmten Alignment-Architektur können Benutzer spezifische Formate, Einschränkungen und stilistische Nuancen ohne jegliche Zeichenabweichung (Character Drift) durchsetzen. Es ist die definitive Wahl für autonome Agenten, strukturierte Datenextraktion und geschäftskritische Produktionsumgebungen.
Kommerzielle Souveränität unter der Apache-2.0-Lizenz
GPT OSS 120B wird unter der Apache 2.0-Lizenz vertrieben und ermöglicht eine uneingeschränkte kommerzielle Nutzung sowie privates Fine-Tuning ohne Gebühren pro Token. Im Gegensatz zu Closed-Source-APIs ermöglicht es das lokale Hosting auf einer einzigen 80-GB-GPU, um sensible proprietäre Daten vollständig On-Premises zu halten. Dieses Framework bietet die rechtliche und technische Freiheit, KI-gesteuerte Software-Stacks zu erstellen, zu modifizieren und zu skalieren.
Hocheffiziente Logik und Vibecoding mit GPT OSS 120B
Dieses 120B-Parameter-Modell erreicht nahezu Gleichstand mit OpenAI o4-mini und zeichnet sich durch die Handhabung komplexer Codesynthese und mathematischer Beweise aus. Entwickler können seine Reasoning-Engine für „Vibe Coding“ nutzen – die direkte Übersetzung natürlichsprachlicher Ideen in funktionale Webanwendungen durch iteratives Prompting. Es ist eine Hochgeschwindigkeitslösung für das Debugging verschachtelter Logik und die Orchestrierung anspruchsvoller Aufgabenplanungs-Workflows.
Was Sie mit OpenAI LLM Models Tun Können
Entdecken Sie praktische Anwendungsfälle und Workflows, die Sie mit dieser Modellfamilie erstellen können — von Content-Erstellung und Automatisierung bis hin zu produktionsreifen Anwendungen.
Deep-Logic-Debugging und Prototyping mit dem GPT OSS 120B
Der GPT OSS 120B ermöglicht es Ingenieuren, "Vibecoding"-Herausforderungen zu lösen, indem er High-Level-Architekturideen in produktionsreife Python- oder React-Komponenten übersetzt. Seine Reasoning-Engine bewältigt verschachtelte Abhängigkeiten und Randfälle (Edge Cases), an denen Mini-Modelle oft scheitern, und stellt sicher, dass die mehrstufige Codesynthese funktionsfähig bleibt. Mit Unterstützung für algorithmische Beweise und komplexe Aufgabenplanung ist er das perfekte Werkzeug für den Aufbau technischer MVPs, automatisierter QA-Skripte und datenintensiver Webanwendungen.
Offline-proprietäres Tooling unter Verwendung von GPT OSS 120B
Unter der Apache 2.0-Lizenz können Teams GPT OSS 120B auf einer einzigen 80 GB GPU hosten, um sensible interne Daten ohne das Risiko von Cloud-Lecks zu verarbeiten. Dieses Setup ermöglicht ein dauerhaftes lokales Fine-Tuning auf spezifischen internen Codebasen oder medizinischen Protokollen ohne wiederkehrende Pro-Token-API-Kosten. Das Modell ist ideal für hochsichere interne Tools und Offline-KI-Assistenz geeignet und bietet volle Gewichtshoheit (Weight Sovereignty) – es unterstützt private RAG-Systeme und angepasste proprietäre Software-Stacks.
Schema-perfekte Datenextraktion mit dem GPT OSS 120B
Der GPT OSS 120B ermöglicht es Entwicklern, unordentliche, unstrukturierte Dokumente ohne "Instruction Drift" in streng formatiertes JSON oder Markdown umzuwandeln. Durch die Verankerung des 131.07K-Kontextfensters mit starren Systemregeln stellt das Modell sicher, dass Felder während der Langformverarbeitung niemals halluziniert oder übersprungen werden. Ideal für die CRM-Automatisierung und das automatisierte Content-Tagging, behält es logische Leitplanken über massive Datensätze hinweg bei – und unterstützt so zuverlässige API-Integrationen und Datenbankbefüllungen.
Modellvergleich
Sehen Sie, wie sich Modelle verschiedener Anbieter vergleichen — Leistung, Preise und einzigartige Stärken für eine fundierte Entscheidung.
| Modell | Kontext | Maximale Ausgabe | Eingabe | Positionierung |
|---|---|---|---|---|
| GPT OSS 120B | 131.07K | 131.07K | Text | Hocheffizientes Reasoning-LLM |
| GLM-5 | 202.75K | 202.75K | Text | Flaggschiff-Basismodell |
| DeepSeek V3.2 | 163.84K | 163.84K | Text | Flaggschiff Allgemein |
| MiniMax-M2.5 | 204.8K | 196.6K | Text | SOTA agentenbasierte Programmierung |
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
Sign up at atlascloud.ai and complete verification. New users receive free credits to explore the platform and test models.
Warum OpenAI LLM Models auf Atlas Cloud Verwenden
Die Kombination der fortschrittlichen OpenAI LLM Models-Modelle mit der GPU-beschleunigten Plattform von Atlas Cloud bietet unübertroffene Leistung, Skalierbarkeit und Entwicklererfahrung.
Leistung & Flexibilität
Niedrige Latenz:
GPU-optimierte Inferenz für Echtzeit-Reasoning.
Einheitliche API:
Führen Sie OpenAI LLM Models, GPT, Gemini und DeepSeek mit einer Integration aus.
Transparente Preisgestaltung:
Vorhersehbare Token-basierte Abrechnung mit serverlosen Optionen.
Unternehmen & Skalierung
Entwicklererfahrung:
SDKs, Analysen, Fine-Tuning-Tools und Vorlagen.
Zuverlässigkeit:
99,99% Verfügbarkeit, RBAC und compliance-bereite Protokollierung.
Sicherheit & Compliance:
SOC 2 Type II, HIPAA-Ausrichtung, Datensouveränität in den USA.
Häufig gestellte Fragen zu OpenAI LLM Models
Es erreicht bei Kern-Reasoning- und Mathematik-Benchmarks nahezu Gleichstand mit OpenAI o4-mini. Während o4-mini eine geschlossene API ist, bietet OSS 120B eine vergleichbare logische Tiefe mit dem zusätzlichen Vorteil des vollständigen Zugriffs auf die Modellgewichte.
Das Modell ist für eine einzelne 80 GB GPU optimiert und vermeidet so die Komplexität von Multi-Node-Systemen. Für sofortige Skalierbarkeit und null Wartungsaufwand empfehlen wir jedoch den Zugriff über die API auf Atlas Cloud.
Ja. Es wird unter der Apache 2.0-Lizenz veröffentlicht, die eine uneingeschränkte kommerzielle Nutzung, Modifikation und Verbreitung ohne Lizenzgebühren pro Token oder Vendor Lock-in erlaubt.
Das 131.07K-Kontextfenster ist für eine Abrufgenauigkeit nach dem Prinzip der „Nadel im Heuhaufen“ konzipiert. Es kann ganze Projektverzeichnisse oder technische Handbücher mit über 100 Seiten verarbeiten und dabei die logische Konsistenz über die gesamte Eingabe hinweg aufrechterhalten.
Absolut. Seine Reasoning-Engine ist für die iterative Codesynthese feinabgestimmt. Es verarbeitet verschachtelte React-Komponenten und komplexe Python-Backends zuverlässiger als Standardmodelle der 70B-Klasse, was es ideal für Workflows von natürlicher Sprache zu Apps macht.
