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.
주요 모델 탐색
Atlas Cloud는 업계 최고의 최신 크리에이티브 모델을 제공합니다.
DeepSeek LLM Models의 주요 특징
Atlas Cloud는 업계 최고의 최신 크리에이티브 모델을 제공합니다.
오픈 파워
투명성과 제어권을 보장하는 완전 오픈 소스 기반의 최고 수준 모델.
아키텍처 효율성
고급 MoE(Mixture-of-Experts)를 활용하여 훨씬 저렴한 비용으로 선도적인 성능을 제공합니다.
전용으로 설계된 범용성
다재다능한 V3.1부터 R1의 전문화된 추론 능력까지, DeepSeek는 모든 작업에 적합한 모델을 제공합니다.
개발자 우선의 자유
무제한 상업적 사용을 허용하는 퍼미시브 라이선스로, 장벽 없는 혁신을 촉진합니다.
검증된 성능
코딩 및 추론 분야의 업계 벤치마크에서 지속적으로 최첨단 결과를 달성합니다.
실용적인 대안
오픈 소스의 경제성과 유연성을 바탕으로 선도적인 독점 모델의 성능을 제공합니다.
Peak speed
Lowest cost
| 모달리티 | 설명 |
|---|---|
| DeepSeek V3.2 | DeepSeek V3.2는 희소 어텐션 메커니즘(sparse attention mechanisms)과 강력한 163.8K 컨텍스트 처리 기능을 통합한 플래그십 범용 LLM입니다. 매우 경쟁력 있는 기본 가격을 자랑하며, 복잡한 일반 추론 및 다단계 작업 예약 Agents 구축을 포함한 일상 업무 흐름의 초석 역할을 합니다. |
| DeepSeek V3.2 Speciale | DeepSeek V3.2 Speciale는 고성능 맞춤형 LLM으로 포지셔닝되어 있으며, 방대한 163.8K 컨텍스트 윈도우와 프리미엄 계층형 가격 구조(입력 $0.4 / 출력 $1.2)를 특징으로 합니다. 이는 고액 자산가 고객을 위한 지능형 고객 서비스나 밀리초 단위의 정량적 분석과 같이 최고의 출력 품질을 요구하는 지연 민감형 핵심 비즈니스 노드를 위해 특별히 설계되었습니다。 |
| DeepSeek V3.2 Exp | DeepSeek V3.2 Exp는 V3.2 아키텍처를 기반으로 한 최첨단 실험 버전으로, 163.8K 컨텍스트와 동등한 비용을 유지하면서 최신 알고리즘 기능을 통합했습니다. 이는 기술 선행 연구 및 카나리아 테스트를 수행하는 R&D 팀에게 이상적이며, 미래 제품을 위한 차세대 AI 기능의 차별화된 성능을 선제적으로 검증할 수 있게 합니다. |
| DeepSeek-V3.1 | DeepSeek-V3.1은 최신 세대의 고성능 오픈 소스 생태계 모델로, 131.1K 컨텍스트 내에서 성능과 비용 간의 새로운 균형을 달성했습니다. 상업적 구현 프로젝트를 위한 최고의 선택으로서, 고품질 생성과 비용 제어가 모두 필요한 시나리오의 핵심 기반 역할을 합니다. |
| DeepSeek V3.1 Terminus | DeepSeek V3.1 Terminus는 V3.1 시리즈의 장기 안정화 최종 형태로서 기능합니다. DeepSeek V3.1 Terminus는 표준 버전과 동일한 매개변수 및 가격 정책을 유지하며, 원활한 소비자 대상 프로덕션 환경의 엔드포인트 서비스를 위해 영구적으로 안정된 출력 스타일과 로직을 제공하는 것을 목표로 합니다. |
| DeepSeek-V3-0324 | DeepSeek-V3-0324는 131.1K 컨텍스트와 가장 낮은 텍스트 입력 비용을 특징으로 하는 특정 과거 스냅샷 버전으로, 주로 절대적인 동작 일관성이 요구되는 레거시 시스템 유지 보수나, 입력 처리량은 방대하지만 출력 로직 요구 사항은 보통인 배치 처리 작업에 적용됩니다。 |
| DeepSeek-R1-0528 | DeepSeek-R1-0528은 131.1K 컨텍스트를 활용하고 가장 높은 연산 비용($0.55/$2.15)을 요하는 최상위 심층 추론 모델로 자리 잡고 있습니다. 이는 논리적 변증법적 능력의 정점을 나타내며, 복잡한 수학적 모델링 및 고급 코드 아키텍처 생성과 같은 중요한 "브레인스토밍" 작업에 독점적으로 사용됩니다. |
| DeepSeek OCR | DeepSeek OCR은 8.2K의 짧은 컨텍스트와 초저비용으로 이중 트랙 이미지-텍스트 입력을 지원하는 전용 시각 멀티모달 LLM으로, 대량의 스캔 문서 디지털화 및 금융 영수증의 구조적 추출과 같은 자동화된 데이터 입력 파이프라인 시나리오에 완벽하게 최적화되어 있습니다. |
DeepSeek LLM Models 새로운 기능 + 쇼케이스
고급 모델과 Atlas Cloud의 GPU 가속 플랫폼을 결합하여 이미지 및 비디오 생성에서 비할 데 없는 속도, 확장성 및 창의적 제어를 제공합니다.
DeepSeek-V3.2-Speciale API를 통한 세계적 수준의 추론 및 검증
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.
DeepSeek-R1 API를 통한 독보적인 인지적 깊이
DeepSeek-R1 모델은 추론 AI의 최전선에 서 있으며, 수학, 프로그래밍 및 일반 논리 분야에서 업계 최고의 성능을 제공합니다. OpenAI의 o3 및 Gemini-2.5-Pro와 같은 세계적인 엘리트 모델과 동등한 수준을 달성함으로써, R1은 오픈 소스 인텔리전스의 기능을 재정의했습니다. 이 모델은 복잡한 알고리즘 개발, 정교한 데이터 합성, 다단계 연역적 추론이 필요한 고급 인지 워크플로를 포함한 심층 사고 작업에 최적화되어 있습니다.
DeepSeek V3.2 API를 활용한 자율 에이전트 워크플로우와의 원활한 일상 상호 작용
DeepSeek-V3.2는 추론 깊이와 실행 속도 간의 완벽한 균형을 이루며, 원활한 일상 상호 작용과 자율 에이전트(Agent) 생태계를 지원하도록 설계되었습니다. 대폭 감소된 지연 시간과 최적화된 출력 제어를 통해 다단계 작업 오케스트레이션 및 범용 AI 어시스턴트를 위한 강력한 엔진 역할을 합니다. 엔터프라이즈급 자동화를 구축하든 고빈도 대화형 도구를 배포하든, V3.2는 유연하고 효율적이며 비용 효율적인 사용자 경험을 보장합니다.
DeepSeek-V3.2-Speciale API를 활용한 정밀한 과학적 발견 및 형식 검증
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.
DeepSeek-V3.2 API를 활용한 원활한 자율 에이전트 오케스트레이션
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.
모델 비교
다양한 프로바이더의 모델 비교 — 성능, 가격, 고유한 강점을 비교하여 현명한 선택을 하세요.
| 모델 | 컨텍스트 | 최대 출력 | 입력 | 포지셔닝 |
|---|---|---|---|---|
| DeepSeek V3.2 | 163.84K | 163.84K | Text | 플래그십 범용 |
| DeepSeek V3.2 Speciale | 163.84K | 163.84K | Text | 고성능 커스텀 |
| DeepSeek V3.2 Exp | 163.84K | 163.84K | Text | 실험적 빌드 |
| DeepSeek-V3.1 | 131.07K | 65.54K | Text | 오픈 소스 백본 |
| DeepSeek V3.1 Terminus | 131.07K | 65.54K | Text | 장기 안정 (LTS) |
| DeepSeek-V3-0324 | 131.07K | 32.77K | Text | 이력 스냅샷 |
| DeepSeek-R1-0528 | 131.07K | 131.07K | Text | 최상위 추론 능력 |
| DeepSeek OCR | 8.19K | 8.19K | Text | 전용 멀티모달 |
| GLM-5 | 200K | 128K | Text | 플래그십 파운데이션 모델 |
| MiniMax-M2.5 | 204.8K | 196.6K | Text | SOTA 에이전틱 코딩 |
Atlas Cloud에서 DeepSeek LLM Models 사용하는 방법
몇 분 만에 시작하세요 — 간단한 단계를 따라 Atlas Cloud 플랫폼을 통해 모델을 통합하고 배포하세요.
Atlas Cloud 계정 생성
atlascloud.ai에서 가입하고 인증을 완료하세요. 신규 사용자는 플랫폼 탐색과 모델 테스트를 위한 무료 크레딧을 받습니다.
Atlas Cloud에서 DeepSeek LLM Models을(를) 사용하는 이유
고급 DeepSeek LLM Models 모델과 Atlas Cloud의 GPU 가속 플랫폼을 결합하여 비교할 수 없는 성능, 확장성 및 개발자 경험을 제공합니다.
성능 및 유연성
낮은 지연 시간:
실시간 추론을 위한 GPU 최적화 추론.
통합 API:
하나의 통합으로 DeepSeek LLM Models, GPT, Gemini 및 DeepSeek를 실행합니다.
투명한 가격:
Serverless 옵션을 포함한 예측 가능한 token당 청구.
엔터프라이즈 및 확장
개발자 경험:
SDK, 분석, 파인튜닝 도구 및 템플릿.
신뢰성:
99.99% 가동 시간, RBAC 및 규정 준수 로깅.
보안 및 규정 준수:
SOC 2 Type II, HIPAA 준수, 미국 내 데이터 주권.
DeepSeek LLM Models에 대한 자주 묻는 질문
DeepSeek는 오픈 소스 투명성과 뛰어난 비용 효율성을 제공합니다. GPT-5에 필적하는 추론 능력(R1 및 V3.2)을 갖추고 있어, 프라이빗 배포의 유연성과 함께 고성능의 저비용 대안을 제공합니다。
이는 모델의 전체 "두뇌 용량"을 반영합니다. DeepSeek의 MoE 설계는 심층 지능을 위한 방대한 총 매개변수 수(예: 671B)와 최대 운영 효율성을 위한 간소화된 "활성" 매개변수 수를 결합합니다.
더 많은 패밀리 탐색
Promote Models (Qwen)
Wan 2.7 Video 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.
Nano Banana 2 Image 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.
Seedream 5.0 Image 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.
Seedance 2.0 Video 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.
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.
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.
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.
Moonshot LLM Models
Kimi is a large language model developed by Moonshot AI, designed for reasoning, coding, and long-context understanding. It performs well in complex tasks such as code generation, analysis, and intelligent assistants. With strong performance and efficient architecture, Kimi is suitable for enterprise AI applications and developer use cases. Its balance of capability and cost makes it an increasingly popular choice in the LLM ecosystem.
Promote Models (Qwen)
Wan 2.7 Video 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.
Nano Banana 2 Image 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.
Seedream 5.0 Image 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.
Seedance 2.0 Video 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.
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.
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.
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.
Moonshot LLM Models
Kimi is a large language model developed by Moonshot AI, designed for reasoning, coding, and long-context understanding. It performs well in complex tasks such as code generation, analysis, and intelligent assistants. With strong performance and efficient architecture, Kimi is suitable for enterprise AI applications and developer use cases. Its balance of capability and cost makes it an increasingly popular choice in the LLM ecosystem.
