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.
Utforska de Ledande Modellerna
Atlas Cloud förser dig med de senaste branschledande kreativa modellerna.
Vad Som Gör OpenAI LLM Models Unik
Atlas Cloud ger dig de senaste branschledande kreativa modellerna.
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.
Topphastighet
Lägsta kostnad
| Modell | Beskrivning |
|---|---|
| GPT OSS 120B | GPT OSS 120B är en högpresterande resonemangscentrerad LLM som integrerar optimerad arkitektur med robusta 131.07K kontextbehandlingsförmågor; genom att uppnå nästan likvärdighet med OpenAI o4-mini på en enda 80 GB GPU, fungerar den som motorn för snabb iterativ utveckling, inklusive vibecoding och exekvering av komplexa logikdrivna arbetsflöden. |
Nya funktioner för OpenAI LLM Models + Showcase
Kombinationen av avancerade modeller med Atlas Clouds GPU-accelererade plattform ger oöverträffad hastighet, skalbarhet och kreativ kontroll för bild- och videogenerering.
Exakt instruktionsefterlevnad via GPT OSS 120B
GPT OSS 120B uppvisar exceptionell styrbarhet och följer strikt komplexa systemprompter för att säkerställa absolut tillförlitlighet i utdata. Genom att utnyttja dess finjusterade anpassningsarkitektur kan användare upprätthålla specifika format, begränsningar och stilistiska nyanser utan någon teckenavvikelse (character drift). Det är det definitiva valet för autonoma agenter, strukturerad dataextraktion och verksamhetskritiska produktionsmiljöer.
Kommersiell suveränitet under Apache 2.0-licens
GPT OSS 120B distribueras under Apache 2.0-licensen, vilket tillåter obegränsad kommersiell användning och privat finjustering (fine-tuning) utan avgifter per token. Till skillnad från API:er med stängd källkod möjliggör den lokal drift på en enda 80 GB GPU för att hålla känslig proprietär data helt on-premises. Detta ramverk ger den juridiska och tekniska friheten att bygga, modifiera och skala AI-drivna programvarustackar.
Högeffektiv logik och Vibecoding med GPT OSS 120B
Denna modell med 120 miljarder parametrar når nästan paritet med OpenAI o4-mini och utmärker sig vid hantering av komplex kodsyntes och matematiska bevis. Utvecklare kan utnyttja dess resonemangsmotor för "vibe coding" – att översätta idéer på naturligt språk direkt till funktionella webbapplikationer genom iterativ prompting. Det är en snabb lösning för att felsöka nästlad logik och orkestrera sofistikerade arbetsflöden för schemaläggning av uppgifter.
Vad Du Kan Göra med OpenAI LLM Models
Upptäck praktiska användningsfall och arbetsflöden du kan bygga med denna modellfamilj — från innehållsskapande och automatisering till produktionsklara applikationer.
Felsökning av djup logik och prototyping med GPT OSS 120B
GPT OSS 120B gör det möjligt för ingenjörer att lösa "vibecoding"-utmaningar genom att översätta arkitektoniska idéer på hög nivå till produktionsklara Python- eller React-komponenter. Dess resonemangsmotor hanterar de nästlade beroenden och kantfall som ofta får minimodeller att snubbla, vilket säkerställer att kodsyntes i flera steg förblir funktionell. Med stöd för algoritmiska bevis och komplex schemaläggning av uppgifter är det det perfekta verktyget för att bygga tekniska MVP:er, automatiserade QA-skript och dataintensiva webbapplikationer.
Offline proprietära verktyg som använder GPT OSS 120B
Under Apache 2.0-licensen kan team hosta GPT OSS 120B på en enda 80 GB GPU för att bearbeta känslig intern data utan risk för molnläckage. Denna uppsättning möjliggör permanent lokal finjustering (fine-tuning) på nischade interna kodbaser eller medicinska loggar utan återkommande API-kostnader per token. Modellen är idealisk för interna verktyg med hög säkerhet och offline AI-assistans, och erbjuder full viktsoveränitet – vilket stöder privata RAG-system och anpassade proprietära mjukvarustackar.
Schema-perfekt dataextrahering med GPT OSS 120B
GPT OSS 120B gör det möjligt för utvecklare att konvertera röriga, ostrukturerade dokument till strikt formaterad JSON eller Markdown utan "instruktionsdrift". Genom att förankra kontextfönstret på 131.07K med rigida systemregler säkerställer modellen att fält aldrig hallucineras eller hoppas över under långformig bearbetning. Den är idealisk för CRM-automatisering och automatiserad innehållstaggning och upprätthåller logiska skyddsräcken över massiva datauppsättningar—vilket stöder pålitliga API-integrationer och databaspopulation.
Modelljämförelse
Se hur modeller från olika leverantörer står sig — jämför prestanda, priser och unika styrkor för ett välgrundat beslut.
| Modell | Kontext | Maximal utdata | Indata | Positionering |
|---|---|---|---|---|
| GPT OSS 120B | 131.07K | 131.07K | Text | Högeffektiv resonerande LLM |
| GLM-5 | 202.75K | 202.75K | Text | Flaggskepps-grundmodell |
| DeepSeek V3.2 | 163.84K | 163.84K | Text | Flaggskepp allmän |
| MiniMax-M2.5 | 204.8K | 196.6K | Text | SOTA agentbaserad kodning |
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.
Varför Använda OpenAI LLM Models på Atlas Cloud
Att kombinera de avancerade OpenAI LLM Models-modellerna med Atlas Clouds GPU-accelererade plattform ger oöverträffad prestanda, skalbarhet och utvecklarupplevelse.
Prestanda & flexibilitet
Låg Latens:
GPU-optimerad inferens för realtidsresonemang.
Enhetligt API:
Kör OpenAI LLM Models, GPT, Gemini och DeepSeek med en integration.
Transparent Prissättning:
Förutsägbar fakturering per token med serverlösa alternativ.
Företag & Skala
Utvecklarupplevelse:
SDK:er, analys, finjusteringsverktyg och mallar.
Tillförlitlighet:
99.99% drifttid, RBAC och efterlevnadsredo loggning.
Säkerhet & Efterlevnad:
SOC 2 Type II, HIPAA-anpassning, datasuveränitet i USA.
Vanliga Frågor om OpenAI LLM Models
Den uppnår nästan paritet med OpenAI o4-mini när det gäller riktmärken för grundläggande resonemang och matematik. Medan o4-mini är ett stängt API, erbjuder OSS 120B jämförbart logiskt djup med den extra fördelen av full åtkomst till modellvikter.
Modellen är optimerad för en enda 80 GB GPU, vilket undviker komplexiteten med flera noder. För omedelbar skalbarhet och noll underhåll rekommenderar vi dock åtkomst via API på Atlas Cloud.
Ja. Den släpps under Apache 2.0-licensen, som tillåter obegränsad kommersiell användning, modifiering och distribution utan licensavgifter per token eller vendor lock-in.
Kontextfönstret på 131,07K är utformat för en hämtningsprecision liknande "en nål i en höstack". Det kan bearbeta hela projektkataloger eller tekniska manualer på över 100 sidor samtidigt som den logiska konsekvensen bibehålls genom hela inmatningen.
Extremt. Dess resonemangsmotor är finjusterad för iterativ kodsyntes. Den hanterar nästlade React-komponenter och komplexa Python-backends mer tillförlitligt än standardmodeller i 70B-klassen, vilket gör den idealisk för arbetsflöden från naturligt språk till app.
Utforska Fler Familjer
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.
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.
