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.
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GPT Image
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.
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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.
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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.
Kling 3.0 Video 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.
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Explore OpenAI’s language and video models on Atlas Cloud: ChatGPT for advanced reasoning and interaction, and Sora-2 for physics-aware video generation.
Seedream 4.5 Image Models
Seedream 4.5, developed by ByteDance’s Jimeng AI, is a versatile, high-fidelity model that unifies creative generation with precise image editing. Engineered for professional consistency and intricate text rendering, it excels at multi-subject fusion, brand identity, and high-resolution marketing assets. By bridging spatial logic with artistic control, Seedream 4.5 empowers designers with a seamless, instruction-driven workflow that transforms complex concepts into polished, commercial-grade visuals.
Vidu Video Models
Vidu, a joint innovation by Shengshu AI and Tsinghua University, is a high-performance video model powered by the original U-ViT architecture that blends Diffusion and Transformer technologies. It delivers long-form, highly consistent, and dynamic video content tailored for professional filmmaking, animation design, and creative advertising. By streamlining high-end visual production, Vidu empowers creators to transform complex ideas into cinematic reality with unprecedented efficiency.
Van Video Models
Built on the Wan 2.5 and 2.6 frameworks, Van Model is a flagship AI video series that delivers superior high-resolution outputs with unmatched creative freedom. By blending cinematic 3D VAE visuals with Flow Matching dynamics, it leverages proprietary compute distillation to offer ultra-fast inference speeds at a fraction of the cost, making it the premier engine for scalable, high-frequency video production on a budget.
MiniMax LLM Models
As a premier suite of Large Language Models (LLMs) developed by MiniMax AI, MiniMax is engineered to redefine real-world productivity through cutting-edge artificial intelligence. The ecosystem features MiniMax M2.5, which is purpose-built for high-efficiency professional environments, and MiniMax M2.1, a model that offers significantly enhanced multi-language programming capabilities to master complex, large-scale technical tasks. By achieving SOTA performance in coding, agentic tool use, intelligent search, and office workflow automation, MiniMax empowers users to streamline a wide range of economically valuable operations with unparalleled precision and reliability.
