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.
模型即将上架
我们正在为该系列做最后的准备，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 的核心亮点
Atlas Cloud 为您提供业界领先的最新创意模型。
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 是一款高性能、以推理为中心的 LLM，集成了优化架构与强大的 131.07K 上下文处理能力；在单张 80 GB GPU 上可达到与 OpenAI o4-mini 近乎同等的水平，它是快速迭代开发（包括 vibecoding 和执行复杂的逻辑驱动工作流）的引擎。 |
OpenAI LLM Models 新功能 + 展示
将先进模型与 Atlas Cloud 的 GPU 加速平台相结合，为图像和视频生成提供无与伦比的速度、可扩展性和创意控制。
通过 GPT OSS 120B 实现精准指令遵循
GPT OSS 120B 展现出卓越的可操控性，严格遵守复杂的系统提示词，以确保绝对的输出可靠性。通过利用其微调对齐架构，用户可以强制执行特定的格式、约束和风格细微差别，实现零字符漂移。它是自主智能体、结构化数据提取和关键任务生产环境的不二之选。
Apache 2.0 许可下的商业主权
GPT OSS 120B 根据 Apache 2.0 许可证分发，允许不受限制的商业使用和私人微调（fine-tuning），无需支付按 Token 计算的费用。与闭源 API 不同，它允许在单个 80 GB GPU 上进行本地托管，以将敏感的专有数据完全保存在本地（on-premises）。该框架为构建、修改和扩展 AI 驱动的软件堆栈提供了法律和技术自由。
使用 GPT OSS 120B 实现高效逻辑与 Vibecoding
该 120B 参数模型与 OpenAI o4-mini 几乎并驾齐驱，擅长处理复杂的代码合成和数学证明。开发人员可以利用其推理引擎进行“vibe coding”——通过迭代提示将自然语言创意直接转化为功能性 Web 应用程序。这是一个用于调试嵌套逻辑和编排复杂任务调度工作流的高速解决方案。
使用 OpenAI LLM Models 可以做什么
探索使用该模型家族可以构建的实际应用场景和工作流 — 从内容创作、自动化到生产级应用。
使用 GPT OSS 120B 进行深度逻辑调试与原型设计
GPT OSS 120B 使工程师能够通过将高层架构构想转化为生产就绪的 Python 或 React 组件来解决“vibecoding”挑战。其推理引擎处理了经常绊倒小型模型的嵌套依赖和边缘情况，确保多步代码合成保持功能性。它支持算法证明和复杂任务调度，是构建技术 MVP、自动化 QA 脚本和数据密集型 Web 应用程序的完美工具。
使用 GPT OSS 120B 的离线专有工具
在 Apache 2.0 许可下，团队可以在单张 80 GB GPU 上托管 GPT OSS 120B，以处理敏感内部数据，且无云端数据泄露风险。此设置允许针对特定的内部代码库或医疗日志进行永久性本地微调（fine-tuning），无需支付经常性的按 Token 计费的 API 成本。该模型非常适合高安全性内部工具和离线 AI 辅助，提供完全的权重主权——支持私有 RAG 系统和定制的专有软件堆栈。
使用 GPT OSS 120B 进行完美模式数据提取
GPT OSS 120B 使开发者能够将杂乱、非结构化的文档转换为格式严格的 JSON 或 Markdown，且不会出现“指令漂移”。通过用严格的系统规则锚定 131.07K 上下文窗口，该模型确保在长文本处理过程中绝不会产生字段幻觉或遗漏。它是 CRM 自动化和自动内容标记的理想选择，能在海量数据集中维持逻辑护栏——支持可靠的 API 集成和数据库填充。
模型对比
查看不同厂商的模型表现 — 对比性能、价格和独特优势，做出明智决策。
| 模型 | 上下文 | 最大输出 | 输入 | 定位 |
|---|---|---|---|---|
| GPT OSS 120B | 131.07K | 131.07K | 文本 | 高效推理大语言模型 |
| GLM-5 | 202.75K | 202.75K | 文本 | 旗舰级基础模型 |
| DeepSeek V3.2 | 163.84K | 163.84K | 文本 | 旗舰通用 |
| MiniMax-M2.5 | 204.8K | 196.6K | 文本 | SOTA 智能体编程 |
如何在 Atlas Cloud 上使用 OpenAI LLM Models
几分钟即可上手 — 按照以下简单步骤，通过 Atlas Cloud 平台集成和部署模型。
创建 Atlas Cloud 账户
在 atlascloud.ai 注册并完成验证。新用户可获得免费额度，用于探索平台和测试模型。
为何在 Atlas Cloud 使用 OpenAI LLM Models
将先进的 OpenAI LLM Models 模型与 Atlas Cloud 的 GPU 加速平台相结合，提供无与伦比的性能、可扩展性和开发体验。
性能与灵活性
低延迟：
GPU 优化推理，实现实时响应。
统一 API：
一次集成，畅用 OpenAI LLM Models、GPT、Gemini 和 DeepSeek。
透明定价：
按 Token 计费，支持 Serverless 模式。
企业与规模
开发者体验：
SDK、数据分析、微调工具和模板一应俱全。
可靠性：
99.99% 可用性、RBAC 权限控制、合规日志。
安全与合规：
SOC 2 Type II 认证、HIPAA 合规、美国数据主权。
关于 OpenAI LLM Models 的常见问题
它在核心推理和数学基准测试上与 OpenAI o4-mini 几乎持平。虽然 o4-mini 是一个封闭 API，但 OSS 120B 提供了相当的逻辑深度，并具有全模型权重访问的额外优势。
该模型已针对单张 80 GB GPU 进行了优化，避免了多节点的复杂性。不过，为了实现即时扩展性和零维护，我们建议通过 Atlas Cloud 上的 API 进行访问。
是的。它是在 Apache 2.0 许可证下发布的，该许可证允许不受限制的商业使用、修改和分发，无需支付按 Token 计费的许可费，也不存在供应商锁定。
131.07K 上下文窗口专为实现“大海捞针”般的检索精度而设计。它可以摄取整个项目目录或 100 多页的技术手册，同时在整个输入中保持逻辑一致性。
极其出色。其推理引擎专为迭代代码合成进行了微调。在处理嵌套 React 组件和复杂 Python 后端时，它比标准 70B 级模型更可靠，使其成为自然语言生成应用工作流的理想选择。
