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.
模型即將上架
我們正在為該系列做最後的準備，您可以先看看下方相似的模型系列。
探索更多系列
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.
OpenAI LLM Models 的核心亮點
Atlas Cloud 為您提供業界領先的最新創意模型。
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.
峰值速度
最低成本
| 模型 | 描述 |
|---|---|
| GPT OSS 120B | GPT OSS 120B 是一款高效能、以推理為中心的 LLM，整合了最佳化架構與強大的 131.07K 上下文處理能力；在單張 80 GB GPU 上可達到與 OpenAI o4-mini 幾近同等的水平，它是快速迭代開發（包括 vibecoding 和執行複雜的邏輯驅動工作流）的引擎。 |
OpenAI LLM Models 新功能 + 展示
將先進模型與 Atlas Cloud 的 GPU 加速平台相結合，為圖像和視頻生成提供無與倫比的速度、可擴展性和創意控制。
透過 GPT OSS 120B 實現精準指令遵循
GPT OSS 120B 展現出卓越的可操控性，嚴格遵守複雜的系統提示詞，以確保絕對的輸出可靠性。透過利用其微調對齊架構，使用者可以強制執行特定的格式、限制和風格細微差別，實現零字元漂移。它是自主代理、結構化資料擷取和關鍵任務生產環境的最佳選擇。
Apache 2.0 授權下的商業主權
GPT OSS 120B 根據 Apache 2.0 授權分發，允許不受限制的商業使用和私人微調（fine-tuning），無需支付按 Token 計算的費用。與閉源 API 不同，它允許在單個 80 GB GPU 上進行本地託管，將敏感的專有數據完全保留在本地端（on-premises）。該框架為構建、修改和擴展 AI 驅動的軟體堆疊提供了法律和技術自由。
使用 GPT OSS 120B 實現高效邏輯與 Vibecoding
該 120B 參數模型與 OpenAI o4-mini 幾乎並駕齊驅，擅長處理複雜的程式碼合成和數學證明。開發人員可以利用其推理引擎進行「vibe coding」——透過迭代提示將自然語言創意直接轉化為功能性 Web 應用程式。這是一個用於除錯巢狀邏輯和編排複雜任務排程工作流程的高速解決方案。
使用 OpenAI LLM Models 可以做什麼
探索使用該模型家族可以構建的實際應用場景和工作流 — 從內容創作、自動化到生產級應用。
使用 GPT OSS 120B 進行深度邏輯偵錯與原型設計
GPT OSS 120B 使工程師能夠通過將高層架構構想轉化為生產就緒的 Python 或 React 組件來解決「vibecoding」挑戰。其推理引擎處理了經常絆倒小型模型的嵌套依賴和邊緣情況，確保多步程式碼合成保持功能性。它支持算法證明和複雜任務調度，是構建技術 MVP、自動化 QA 腳本和數據密集型 Web 應用程序的完美工具。
使用 GPT OSS 120B 的離線專有工具
在 Apache 2.0 授權下，團隊可以在單張 80 GB GPU 上託管 GPT OSS 120B，以處理敏感內部數據，且無雲端外洩風險。此設置允許針對利基內部程式碼庫或醫療日誌進行永久性本地微調（fine-tuning），無需支付經常性的按 Token 計費的 API 成本。該模型非常適合高安全性內部工具和離線 AI 輔助，提供完全的權重主權——支持私有 RAG 系統和定制的專有軟體堆疊。
使用 GPT OSS 120B 進行完美模式資料擷取
GPT OSS 120B 使開發者能夠將雜亂、非結構化的文檔轉換為格式嚴格的 JSON 或 Markdown，且不會出現「指令漂移」。透過用嚴格的系統規則錨定 131.07K 上下文窗口，該模型確保在長文本處理過程中絕不會產生欄位幻覺或遺漏。它是 CRM 自動化和自動內容標記的理想選擇，能在海量資料集中維持邏輯護欄——支援可靠的 API 整合和資料庫填充。
模型對比
查看不同廠商的模型表現 — 對比效能、價格和獨特優勢，做出明智決策。
| 模型 | 上下文 | 最大輸出 | 輸入 | 定位 |
|---|---|---|---|---|
| GPT OSS 120B | 131.07K | 131.07K | 文字 | 高效推理大型語言模型 |
| GLM-5 | 202.75K | 202.75K | 文本 | 旗艦級基礎模型 |
| DeepSeek V3.2 | 163.84K | 163.84K | 文字 | 旗艦通用 |
| MiniMax-M2.5 | 204.8K | 196.6K | 文字 | SOTA 代理式程式設計 |
如何在 Atlas Cloud 上使用 OpenAI LLM Models
幾分鐘即可上手 — 按照以下簡單步驟，透過 Atlas Cloud 平台整合和部署模型。
建立 Atlas Cloud 帳戶
在 atlascloud.ai 註冊並完成驗證。新用戶可獲得免費額度，用於探索平台和測試模型。
為何在 Atlas Cloud 使用 OpenAI LLM Models
將先進的 OpenAI LLM Models 模型與 Atlas Cloud 的 GPU 加速平台相結合，提供無與倫比的效能、可擴展性和開發體驗。
效能與靈活性
低延遲：
GPU 最佳化推理，實現即時回應。
統一 API：
一次整合，暢用 OpenAI LLM Models、GPT、Gemini 和 DeepSeek。
透明定價：
按 Token 計費，支援 Serverless 模式。
企業與規模
開發者體驗：
SDK、資料分析、微調工具和模板一應俱全。
可靠性：
99.99% 可用性、RBAC 權限控制、合規日誌。
安全與合規：
SOC 2 Type II 認證、HIPAA 合規、美國資料主權。
關於 OpenAI LLM Models 的常見問題
它在核心推理和數學基準測試上與 OpenAI o4-mini 幾乎持平。雖然 o4-mini 是一個封閉 API，但 OSS 120B 提供了相當的邏輯深度，並具有全模型權重存取的額外優勢。
該模型已針對單張 80 GB GPU 進行了優化，避免了多節點的複雜性。不過，為了實現即時擴充性和零維護，我們建議透過 Atlas Cloud 上的 API 進行存取。
是的。它是根據 Apache 2.0 授權條款發布的，該條款允許不受限制的商業使用、修改和分發，無需支付按 Token 計費的授權費，也不存在供應商綁定。
131.07K 上下文視窗專為「大海撈針」般的檢索精度而設計。它可以攝取整個專案目錄或 100 多頁的技術手冊，同時在整個輸入中保持邏輯一致性。
極其出色。其推論引擎專為迭代程式碼合成進行了微調。在處理巢狀 React 元件和複雜 Python 後端時，它比標準 70B 級模型更可靠，使其成為自然語言轉應用程式工作流程的理想選擇。
