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.
Explore the Leading DeepSeek LLM Models
Atlas Cloud provides you with the latest industry-leading creative models.
What Makes DeepSeek LLM Models Stand Out
Atlas Cloud provides you with the latest industry-leading creative models.
Open Power
Top-tier models that are fully open-source, ensuring transparency and control.
Architectural Efficiency
Leverages advanced Mixture-of-Experts (MoE) for leading performance at a fraction of the cost.
Purpose-Built Versatility
From the versatile V3.1 to the specialized reasoning of R1, DeepSeek offers models for every task.
Developer-First Freedom
Permissively licensed for unrestricted commercial use, fostering innovation without barriers.
Proven Performance
Consistently achieves state-of-the-art results on industry benchmarks for coding and reasoning.
The Practical Alternative
Delivers the power of leading proprietary models with the affordability and flexibility of open-source.
Peak speed
Lowest cost
| Modality | Description |
|---|---|
| DeepSeek V3.2 | DeepSeek V3.2 is a flagship general-purpose LLM, integrating sparse attention mechanisms with robust 163.8K context processing capabilities; boasting highly competitive baseline pricing, it serves as the cornerstone for daily workflows, including complex general reasoning and building multi-step task-scheduling Agents. |
| DeepSeek V3.2 Speciale | DeepSeek V3.2 Speciale is positioned as a high-performance custom LLM, featuring a massive 163.8K context window and a premium tiered pricing structure ($0.4 input / $1.2 output), specifically designed for latency-sensitive core business nodes requiring ultimate output quality, such as intelligent customer service for high-net-worth clients or millisecond-level quantitative analysis. |
| DeepSeek V3.2 Exp | DeepSeek V3.2 Exp is a cutting-edge experimental version based on the V3.2 architecture, integrating the latest algorithmic features while maintaining a 163.8K context and comparable costs, making it ideal for R&D teams conducting technical pre-research and canary testing to preemptively validate the differentiating power of next-gen AI capabilities for future products. |
| DeepSeek-V3.1 | DeepSeek-V3.1 is the latest generation of high-performance open-source ecosystem models, achieving a new balance between performance and cost within a 131.1K context; as the top choice for commercial implementation projects, it acts as the backbone for scenarios requiring both high-quality generation and controllable costs. |
| DeepSeek V3.1 Terminus | DeepSeek V3.1 Terminus serves as the long-term stable ultimate form of the V3.1 series, DeepSeek V3.1 Terminus maintains identical parameters and pricing to the standard version, aiming to provide a perpetually stable output style and logic for seamless, consumer-facing production environment endpoint services. |
| DeepSeek-V3-0324 | DeepSeek-V3-0324 is a specific historical snapshot version featuring a 131.1K context and the lowest text input cost available, primarily applied in legacy system maintenance requiring absolute behavioral consistency, or batch processing tasks with massive input throughput but moderate output logic requirements. |
| DeepSeek-R1-0528 | DeepSeek-R1-0528 positioned as a top-tier deep reasoning model, utilizing a 131.1K context and commands the highest compute cost ($0.55/$2.15), representing the pinnacle of logical dialectic capabilities, exclusively used for critical "brainstorming" tasks like complex mathematical modeling and advanced code architecture generation. |
| DeepSeek OCR | DeepSeek OCR is a dedicated visual multimodal LLM that supports dual-track image-text input with a short 8.2K context and ultra-low usage costs, perfectly adapted for automated data entry pipeline scenarios such as the digitization of massive scanned documents and structured extraction of financial receipts. |
New features of DeepSeek LLM Models + Showcase
Combining advanced models with Atlas Cloud's GPU-accelerated platform delivers unmatched speed, scalability, and creative control for image and video generation.
World-Class Reasoning & Verification via DeepSeek-V3.2-Speciale API
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.
Unrivaled Cognitive Depth via DeepSeek-R1 API
The DeepSeek-R1 model stands at the forefront of reasoning AI, delivering industry-leading performance in mathematics, programming, and general logic. By achieving parity with elite global models such as OpenAI’s o3 and Gemini-2.5-Pro, R1 has redefined the capabilities of open-source intelligence. It is specifically optimized for deep-thinking tasks, including complex algorithmic development, sophisticated data synthesis, and advanced cognitive workflows that require multi-stage deductive reasoning.
Seamless daily interaction with autonomous Agent workflows using DeepSeek V3.2 API
DeepSeek-V3.2 strikes the perfect balance between reasoning depth and execution speed, designed to power seamless daily interactions and autonomous Agent ecosystems. With significantly reduced latency and optimized output control, it serves as a robust engine for multi-step task orchestration and general-purpose AI assistants. Whether deploying enterprise-scale automation or high-frequency interactive tools, V3.2 ensures a fluid, efficient, and cost-effective user experience.
Rigorous Scientific Discovery & Formal Verification with DeepSeek-V3.2-Speciale API
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.
Seamless Autonomous Agent Orchestration with the DeepSeek-V3.2 API
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.
Model Comparison
See how models from different providers stack up — compare performance, pricing, and unique strengths to make an informed decision.
| Model | Context | Max Output | Input | Positioning |
|---|---|---|---|---|
| DeepSeek V3.2 | 163.84K | 163.84K | Text | Flagship General |
| DeepSeek V3.2 Speciale | 163.84K | 163.84K | Text | High-Performance Custom |
| DeepSeek V3.2 Exp | 163.84K | 163.84K | Text | Experimental Build |
| DeepSeek-V3.1 | 131.07K | 65.54K | Text | Open-Source Backbone |
| DeepSeek V3.1 Terminus | 131.07K | 65.54K | Text | Long-Term Stable (LTS) |
| DeepSeek-V3-0324 | 131.07K | 32.77K | Text | Historical Snapshot |
| DeepSeek-R1-0528 | 131.07K | 131.07K | Text | Top-Tier Reasoning |
| DeepSeek OCR | 8.19K | 8.19K | Text | Dedicated Multimodal |
| GLM-5 | 200K | 128K | Text | Flagship Foundation Model |
| MiniMax-M2.5 | 204.8K | 196.6K | Text | SOTA Agentic Coding |
How to Use DeepSeek LLM Models on Atlas Cloud
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Why Use DeepSeek LLM Models on Atlas Cloud
Combining the advanced DeepSeek LLM Models models with Atlas Cloud's GPU-accelerated platform provides unmatched performance, scalability, and developer experience.
Performance & flexibility
Low Latency:
GPU-optimized inference for real-time reasoning.
Unified API:
Run DeepSeek LLM Models, GPT, Gemini, and DeepSeek with one integration.
Transparent Pricing:
Predictable per-token billing with serverless options.
Enterprise & Scale
Developer Experience:
SDKs, analytics, fine-tuning tools, and templates.
Reliability:
99.99% uptime, RBAC, and compliance-ready logging.
Security & Compliance:
SOC 2 Type II, HIPAA alignment, data sovereignty in US.
Frequently Asked Questions about DeepSeek LLM Models
DeepSeek offers open-source transparency and superior cost-efficiency. With reasoning capabilities (R1 & V3.2) rivaling GPT-5, it provides a high-performance, lower-cost alternative with the flexibility of private deployment.
It reflects the model's total "brain capacity." DeepSeek’s MoE design pairs a massive total parameter count (e.g., 671B) for deep intelligence with a streamlined "active" count for maximum operational efficiency.
Explore More Families
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.
