DeepSeek LLM Models
DeepSeek, developed by the deepseek-ai team, is a cutting-edge series of open-source generative AI models engineered to democratize access to high-performance computing through a cost-effective and efficiency-first strategy. Its flagship reasoning model, DeepSeek-R1, made waves by rivaling top-tier proprietary models in mathematics, programming, and complex logical deduction, while the DeepSeek-V3.2, is designed for seamless daily interaction and autonomous Agent workflows. By significantly lowering the barrier to entry for advanced AI, DeepSeek has become a cornerstone for the "vibe coding" movement and a transformative tool in specialized fields like academic research and high-level technical problem-solving.
探索领先模型
Atlas Cloud 为您提供最新的行业领先创意模型。
DeepSeek LLM Models 的核心亮点
Atlas Cloud 为您提供业界领先的最新创意模型。
开放之力
完全开源的顶级模型，确保透明度和掌控权。
架构效率
利用先进的混合专家模型 (MoE)，以极低的成本提供领先的性能。
专为特定用途打造的多功能性
从全能的 V3.1 到专注推理的 R1，DeepSeek 提供适用于各项任务的模型。
开发者优先的自由
采用宽松许可证，支持无限制的商业用途，旨在促进无障碍创新。
经过验证的性能
在编程和推理方面的行业基准测试中，持续取得最先进的成果。
实用的替代方案
兼具领先专有模型的强大性能，以及开源模型的经济性和灵活性。
Peak speed
Lowest cost
| 模态 | 描述 |
|---|---|
| DeepSeek V3.2 | DeepSeek V3.2 是一款旗舰级通用 LLM，集成了稀疏注意力机制和强大的 163.8K 上下文处理能力；凭借极具竞争力的基础定价，它已成为日常工作流的基石，适用于复杂通用推理和构建多步任务调度 Agents。 |
| DeepSeek V3.2 Speciale | DeepSeek V3.2 Speciale 定位为高性能定制 LLM，具有巨大的 163.8K 上下文窗口和高级分层定价结构（$0.4 输入 / $1.2 输出），专为需要极致输出质量的延迟敏感型核心业务节点设计，例如高净值客户智能客服或毫秒级量化分析。 |
| DeepSeek V3.2 Exp | DeepSeek V3.2 Exp 是基于 V3.2 架构的前沿实验版本，集成了最新的算法特性，同时保持了 163.8K 的上下文长度和相当的成本，非常适合研发团队进行技术预研和金丝雀测试，以抢先验证下一代 AI 能力在未来产品中的差异化优势。 |
| DeepSeek-V3.1 | DeepSeek-V3.1 是最新一代高性能开源生态模型，在 131.1K 上下文长度内实现了性能与成本的新平衡；作为商业落地项目的首选，它是需要兼顾高质量生成和可控成本场景的骨干模型。 |
| DeepSeek V3.1 Terminus | DeepSeek V3.1 Terminus 是 V3.1 系列的长期稳定终极形态，DeepSeek V3.1 Terminus 保持与标准版完全一致的参数和定价，旨在为无缝的、面向消费者的生产环境端点服务提供永久稳定的输出风格和逻辑。 |
| DeepSeek-V3-0324 | DeepSeek-V3-0324 是一个特定的历史快照版本，具有 131.1K 上下文和最低的文本输入成本，主要应用于需要绝对行为一致性的遗留系统维护，或输入吞吐量巨大但输出逻辑要求适中的批处理任务。 |
| DeepSeek-R1-0528 | DeepSeek-R1-0528 定位为顶尖的深度推理模型，拥有 131.1K 上下文窗口，算力成本最高（$0.55/$2.15），代表了逻辑辩证能力的巅峰，专用于复杂的数学建模和高级代码架构生成等关键“头脑风暴”任务。 |
| DeepSeek OCR | DeepSeek OCR 是一款专用的视觉多模态 LLM，支持双轨图文输入，具备 8.2K 短上下文和超低使用成本，完美适配海量扫描文档数字化和财务票据结构化提取等自动化数据录入流水线场景。 |
DeepSeek 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 DeepSeek-V3.2-Speciale API 实现世界级推理与验证
DeepSeek-V3.2-Speciale is the "long-thought" enhanced variant of the V3.2 architecture, integrating advanced theorem-proving capabilities from DeepSeek-Math-V2. Engineered for extreme precision, this model excels in rigorous mathematical proofing, complex logical verification, and superior instruction following, rivaling the performance of Gemini-3.0-Pro in mainstream reasoning benchmarks. It is the premier choice for academic research, automated formal verification, and high-stakes technical problem-solving where logical integrity is non-negotiable.
通过 DeepSeek-R1 API 实现无与伦比的认知深度
DeepSeek-R1 模型处于推理 AI 的最前沿，在数学、编程和通用逻辑方面提供行业领先的性能。通过达到与 OpenAI 的 o3 和 Gemini-2.5-Pro 等全球精英模型相当的水平，R1 重新定义了开源智能的能力。它专门针对深度思考任务进行了优化，包括复杂的算法开发、精密的数据合成以及需要多阶段演绎推理的高级认知工作流。
使用 DeepSeek V3.2 API 实现与自主智能体工作流的无缝日常交互
DeepSeek-V3.2 在推理深度与执行速度之间实现了完美平衡，专为支持无缝的日常交互和自主智能体（Agent）生态系统而设计。凭借显著降低的延迟和优化的输出控制，它成为多步任务编排和通用 AI 助手的强大引擎。无论是部署企业级自动化还是高频交互工具，V3.2 都能确保流畅、高效且极具成本效益的用户体验。
使用 DeepSeek-V3.2-Speciale API 进行严谨的科学发现与形式化验证
The DeepSeek-V3.2-Speciale API is engineered for tasks that demand absolute logical precision and multi-step reasoning. By integrating advanced theorem-proving capabilities, it enables researchers and engineers to execute complex mathematical inductions, verify formal logic, and solve high-tier competitive programming challenges. Perfect for academic R&D, automated code auditing, and cryptographic analysis, this API transforms abstract complexity into verifiable results with the performance of top-tier global models.
Advanced Algorithmic Synthesis & Strategic Reasoning using the DeepSeek-R1 API
DeepSeek-R1 empowers developers to build applications centered on deep cognitive workflows and strategic decision-making. Ranking at the forefront of global reasoning benchmarks, the R1 API excels in synthesizing sophisticated code architectures, processing dense technical documentation, and generating innovative solutions for open-ended logical puzzles. It is the ideal engine for AI-driven software engineering, long-form data synthesis, and any scenario where "thinking fast and slow" requires a powerful, reasoning-first foundation.
使用 DeepSeek-V3.2 API 实现无缝自主智能体编排
For high-velocity, sensory-driven AI applications, the DeepSeek-V3.2 API provides the perfect equilibrium between reasoning depth and ultra-low latency. It is optimized for building autonomous Agents that can navigate multi-step workflows, manage real-time user interactions, and execute general-purpose tasks with GPT-5 level intelligence. This use case is tailor-made for enterprise-scale automation, intelligent customer ecosystems, and developers looking to deploy responsive, cost-effective AI assistants at scale.
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 |
|---|---|---|---|---|
| DeepSeek V3.2 | 163.84K | 163.84K | Text | 旗舰通用 |
| DeepSeek V3.2 Speciale | 163.84K | 163.84K | Text | 高性能定制 |
| DeepSeek V3.2 Exp | 163.84K | 163.84K | Text | 实验性构建 |
| DeepSeek-V3.1 | 131.07K | 65.54K | Text | 开源骨干 |
| DeepSeek V3.1 Terminus | 131.07K | 65.54K | Text | 长期稳定 (LTS) |
| DeepSeek-V3-0324 | 131.07K | 32.77K | Text | 历史快照 |
| DeepSeek-R1-0528 | 131.07K | 131.07K | Text | 顶级推理能力 |
| DeepSeek OCR | 8.19K | 8.19K | Text | 专用多模态 |
| GLM-5 | 200K | 128K | Text | 旗舰级基础模型 |
| MiniMax-M2.5 | 204.8K | 196.6K | Text | SOTA 智能体编程 |
如何在 Atlas Cloud 上使用 DeepSeek 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 DeepSeek LLM Models
将先进的 DeepSeek 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 DeepSeek 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 DeepSeek LLM Models 的常见问题
DeepSeek 提供开源透明度和卓越的成本效益。凭借媲美 GPT-5 的推理能力（R1 和 V3.2），它提供了一种高性能、低成本的替代方案，并具备私有化部署的灵活性。
这反映了模型的总“脑容量”。DeepSeek 的 MoE 设计将海量的总参数量（例如 671B）带来的深度智能与精简的“激活”参数量结合起来，以实现最高的运行效率。
探索更多系列
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.
Grok-Imagine Models
Grok Imagine Image Quality is xAI's latest AI image generation model, delivering studio-grade visuals with up to 2K resolution and razor-sharp detail. It offers best-in-class text rendering across multiple languages, photorealistic outputs with natural lighting, rich textures, and believable physics, plus tighter prompt following and image editing with reference inputs for precise creative control. Ideal for hero images, ad creatives, product renders, and brand-grade visuals.
Gemini Omni
Gemini Omni (by Google DeepMind) is a video generation and editing model launched on May 20, 2026 at Google I/O that redefines the standard for "reasoning-driven creation," built specifically to solve the core challenge of AI video: making output that actually understands what you mean, not just what you type. It fuses Gemini's reasoning engine with generative capability, accepting any mix of images, text, video, and audio to produce consistent, knowledge-grounded output. Unlike models that start from scratch each time, Omni lets you edit through natural conversation — swapping objects, rewriting scenes, shifting styles — while keeping physics, characters, and continuity intact across every turn.
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.
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.
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.
