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.
探索領先模型
Atlas Cloud 為您提供最新的行業領先創意模型。
DeepSeek LLM Models 的核心亮點
Atlas Cloud 為您提供業界領先的最新創意模型。
開放之力
完全開源的頂尖模型，確保透明度與掌控權。
架構效率
運用先進的混合專家模型 (MoE)，以極低的成本提供領先的效能。
專為特定用途打造的多功能性
從全能的 V3.1 到專注推理的 R1，DeepSeek 提供適用於各項任務的模型。
開發者優先的自由
採用寬鬆授權，支援無限制的商業用途，旨在促進無障礙創新。
經過驗證的效能
在程式設計和推理方面的業界基準測試中，持續取得最先進的成果。
實用的替代方案
兼具領先專有模型的強大性能，以及開源模型的經濟性與靈活性。
Peak speed
Lowest cost
| 模態 | 描述 |
|---|---|
| DeepSeek V3.2 | DeepSeek V3.2 是一款旗艦級通用 LLM，整合了稀疏注意力機制與強大的 163.8K 上下文處理能力；憑藉極具競爭力的基礎定價，它已成為日常工作流程的基石，適用於複雜通用推理與構建多步任務調度 Agents。 |
| DeepSeek V3.2 Speciale | DeepSeek V3.2 Speciale 定位為高效能客製化 LLM，具備龐大的 163.8K 上下文視窗與高階分層定價結構（$0.4 輸入 / $1.2 輸出），專為需要極致輸出品質的延遲敏感型核心業務節點設計，例如高淨值客戶智慧客服或毫秒級量化分析。 |
| DeepSeek V3.2 Exp | DeepSeek V3.2 Exp 是基於 V3.2 架構的尖端實驗版本，整合了最新的演算法特性，同時維持 163.8K 的上下文長度與相當的成本，非常適合研發團隊進行技術預研和金絲雀測試，以預先驗證下一代 AI 能力在未來產品中的差異化優勢。 |
| DeepSeek-V3.1 | DeepSeek-V3.1 是最新一代高效能開源生態系模型，在 131.1K 上下文長度內實現了效能與成本的新平衡；作為商業落地專案的首選，它是需要兼顧高品質生成與可控成本場景的骨幹模型。 |
| DeepSeek V3.1 Terminus | DeepSeek V3.1 Terminus 是 V3.1 系列的長期穩定終極形態，DeepSeek V3.1 Terminus 保持與標準版完全一致的參數和定價，旨在為無縫的、面向消費者的生產環境端點服務提供永久穩定的輸出風格和邏輯。 |
| DeepSeek-V3-0324 | DeepSeek-V3-0324 是一個特定的歷史快照版本，具有 131.1K 上下文和最低的文字輸入成本，主要應用於需要絕對行為一致性的舊有系統維護，或輸入吞吐量巨大但輸出邏輯要求適中的批次處理任務。 |
| DeepSeek-R1-0528 | DeepSeek-R1-0528 定位為頂尖的深度推理模型，擁有 131.1K 上下文視窗，算力成本最高（$0.55/$2.15），代表了邏輯辯證能力的巔峰，專用於複雜的數學建模和進階程式架構生成等關鍵「腦力激盪」任務。 |
| DeepSeek OCR | DeepSeek OCR 是一款專用的視覺多模態 LLM，支援雙軌圖文輸入，具備 8.2K 短語境及超低使用成本，完美適配海量掃描文件數位化與財務票據結構化擷取等自動化資料輸入流程場景。 |
DeepSeek 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 DeepSeek-V3.2-Speciale API 實現世界級推理與驗證
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.
透過 DeepSeek-R1 API 實現無與倫比的認知深度
DeepSeek-R1 模型處於推理 AI 的最前沿，在數學、程式設計和通用邏輯方面提供業界領先的效能。透過達到與 OpenAI 的 o3 和 Gemini-2.5-Pro 等全球精英模型相當的水準，R1 重新定義了開源智慧的能力。它專門針對深度思考任務進行了最佳化，包括複雜的演算法開發、精密的資料合成以及需要多階段演繹推理的高階認知工作流程。
透過 DeepSeek V3.2 API 實現與自主代理工作流程的無縫日常互動
DeepSeek-V3.2 在推理深度與執行速度之間取得了完美平衡，專為支援無縫的日常互動和自主智能體（Agent）生態系統而設計。憑藉顯著降低的延遲和最佳化的輸出控制，它成為多步驟任務編排和通用 AI 助理的強大引擎。無論是部署企業級自動化還是高頻互動工具，V3.2 都能確保流暢、高效且具成本效益的使用者體驗。
使用 DeepSeek-V3.2-Speciale API 進行嚴謹的科學發現與形式化驗證
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 實現無縫自主代理編排
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 |
|---|---|---|---|---|
| DeepSeek V3.2 | 163.84K | 163.84K | Text | 旗艦通用 |
| DeepSeek V3.2 Speciale | 163.84K | 163.84K | Text | 高效能客製化 |
| DeepSeek V3.2 Exp | 163.84K | 163.84K | Text | 實驗性組建 |
| DeepSeek-V3.1 | 131.07K | 65.54K | Text | 開源骨幹 |
| DeepSeek V3.1 Terminus | 131.07K | 65.54K | Text | 長期穩定 (LTS) |
| DeepSeek-V3-0324 | 131.07K | 32.77K | Text | 歷史快照 |
| DeepSeek-R1-0528 | 131.07K | 131.07K | Text | 頂尖推理能力 |
| DeepSeek OCR | 8.19K | 8.19K | Text | 專用多模態 |
| GLM-5 | 200K | 128K | Text | 旗艦級基礎模型 |
| MiniMax-M2.5 | 204.8K | 196.6K | Text | SOTA 智能體編程 |
如何在 Atlas Cloud 上使用 DeepSeek 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 DeepSeek LLM Models
將先進的 DeepSeek 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 DeepSeek 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 DeepSeek LLM Models 的常見問題
DeepSeek 提供開源透明度和卓越的成本效益。憑藉媲美 GPT-5 的推理能力（R1 和 V3.2），它提供了一種高性能、低成本的替代方案，並具備私有化部署的靈活性。
這反映了模型的總「腦容量」。DeepSeek 的 MoE 設計將海量的總參數數量（例如 671B）帶來的深度智能與精簡的「激活」數量相結合，以實現最高的運作效率。
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.
