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.
Utforska de Ledande Modellerna
Atlas Cloud förser dig med de senaste branschledande kreativa modellerna.
Vad Som Gör DeepSeek LLM Models Unik
Atlas Cloud ger dig de senaste branschledande kreativa modellerna.
Öppen Kraft
Förstklassiga modeller som är helt open source, vilket garanterar transparens och kontroll.
Arkitektonisk effektivitet
Använder avancerad Mixture-of-Experts (MoE) för ledande prestanda till en bråkdel av kostnaden.
Ändamålsenlig mångsidighet
Från den mångsidiga V3.1 till det specialiserade resonemanget hos R1 erbjuder DeepSeek modeller för varje uppgift.
Utvecklarorienterad frihet
Permissivt licensierad för obegränsad kommersiell användning, vilket främjar innovation utan hinder.
Beprövad prestanda
Uppnår konsekvent toppresultat i branschstandarder för kodning och resonemang.
Det praktiska alternativet
Levererar kraften hos ledande proprietära modeller med prisvärdheten och flexibiliteten hos open source.
Peak speed
Lowest cost
| Modalitet | Beskrivning |
|---|---|
| DeepSeek V3.2 | DeepSeek V3.2 är en ledande LLM för allmänna ändamål, som integrerar glesa uppmärksamhetsmekanismer (sparse attention) med robusta 163.8K kontextbehandlingsfunktioner; med mycket konkurrenskraftiga baspriser fungerar den som hörnstenen för dagliga arbetsflöden, inklusive komplexa allmänna resonemang och byggande av flerstegs schemaläggnings-Agents. |
| DeepSeek V3.2 Speciale | DeepSeek V3.2 Speciale positioneras som en högpresterande anpassad LLM, med ett massivt kontextfönster på 163,8K och en premium-nivå prissättningsstruktur ($0,4 input / $1,2 output), specifikt utformad för latenskänsliga kärnverksamhetsnoder som kräver ultimat utdatakvalitet, såsom intelligent kundtjänst för förmögna kunder eller kvantitativ analys på millisekunder. |
| DeepSeek V3.2 Exp | DeepSeek V3.2 Exp är en banbrytande experimentell version baserad på V3.2-arkitekturen, som integrerar de senaste algoritmiska funktionerna samtidigt som den behåller en kontext på 163.8K och jämförbara kostnader. Detta gör den idealisk för FoU-team som utför teknisk förforskning och canary-tester för att i förebyggande syfte validera den differentierande kraften hos nästa generations AI-kapacitet för framtida produkter. |
| DeepSeek-V3.1 | DeepSeek-V3.1 är den senaste generationen av högpresterande open source-ekosystemmodeller, som uppnår en ny balans mellan prestanda och kostnad inom en 131.1K-kontext; som det främsta valet för kommersiella implementeringsprojekt fungerar den som ryggraden för scenarier som kräver både högkvalitativ generering och kontrollerbara kostnader. |
| DeepSeek V3.1 Terminus | DeepSeek V3.1 Terminus fungerar som den långsiktigt stabila, ultimata formen av V3.1-serien. DeepSeek V3.1 Terminus behåller identiska parametrar och prissättning som standardversionen, med syftet att tillhandahålla en ständigt stabil utdatastil och logik för sömlösa, konsumentinriktade slutpunktstjänster i produktionsmiljö. |
| DeepSeek-V3-0324 | DeepSeek-V3-0324 är en specifik historisk ögonblicksbildsversion med en kontext på 131,1K och den lägsta tillgängliga textinmatningskostnaden, främst tillämpad vid underhåll av äldre system som kräver absolut beteendekonsekvens, eller batchbearbetningsuppgifter med massiv inmatningsgenomströmning men måttliga krav på utdatalogik. |
| DeepSeek-R1-0528 | DeepSeek-R1-0528 positioneras som en förstklassig modell för djupgående resonemang, med en kontext på 131,1K och den högsta beräkningskostnaden ($0,55/$2,15). Den representerar höjdpunkten av logisk dialektisk förmåga och används uteslutande för kritiska "brainstorming"-uppgifter som komplex matematisk modellering och generering av avancerad kodarkitektur. |
| DeepSeek OCR | DeepSeek OCR är en dedikerad visuell multimodal LLM som stöder dubbelspårig bild-textinmatning med en kort 8,2K-kontext och ultralåga användningskostnader, perfekt anpassad för scenarier med automatiserade datainmatningsflöden såsom digitalisering av massiva skannade dokument och strukturerad extrahering av finansiella kvitton. |
Nya funktioner för DeepSeek LLM Models + Showcase
Kombinationen av avancerade modeller med Atlas Clouds GPU-accelererade plattform ger oöverträffad hastighet, skalbarhet och kreativ kontroll för bild- och videogenerering.
Resonemang och verifiering i världsklass 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.
Oöverträffat kognitivt djup via DeepSeek-R1 API
Modellen DeepSeek-R1 står i framkant inom resonerande AI och levererar branschledande prestanda inom matematik, programmering och allmän logik. Genom att uppnå paritet med globala elitmodeller som OpenAI:s o3 och Gemini-2.5-Pro har R1 omdefinierat kapaciteten för intelligens med öppen källkod. Den är specifikt optimerad för uppgifter som kräver djupt tänkande, inklusive komplex algoritmutveckling, sofistikerad datasyntes och avancerade kognitiva arbetsflöden som kräver deduktivt resonemang i flera steg.
Sömlös daglig interaktion med autonoma agent-arbetsflöden med hjälp av DeepSeek V3.2 API
DeepSeek-V3.2 träffar den perfekta balansen mellan resonemangsdjup och exekveringshastighet, designad för att driva sömlösa dagliga interaktioner och autonoma agent-ekosystem. Med avsevärt minskad latens och optimerad utdatakontroll fungerar den som en robust motor för orkestrering av flerstegsuppgifter och generella AI-assistenter. Oavsett om det gäller implementering av automation i företagsskala eller högfrekventa interaktiva verktyg, säkerställer V3.2 en flytande, effektiv och kostnadseffektiv användarupplevelse.
Rigorös vetenskaplig upptäckt och formell verifiering med 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.
Sömlös orkestrering av autonoma agenter med 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.
Modelljämförelse
Se hur modeller från olika leverantörer står sig — jämför prestanda, priser och unika styrkor för ett välgrundat beslut.
| Modell | Kontext | Maximal utdata | Indata | Positionering |
|---|---|---|---|---|
| DeepSeek V3.2 | 163.84K | 163.84K | Text | Flaggskepp Allmän |
| DeepSeek V3.2 Speciale | 163.84K | 163.84K | Text | Högpresterande anpassad |
| DeepSeek V3.2 Exp | 163.84K | 163.84K | Text | Experimentell build |
| DeepSeek-V3.1 | 131.07K | 65.54K | Text | Open source-backbone |
| DeepSeek V3.1 Terminus | 131.07K | 65.54K | Text | Långtidsstabil (LTS) |
| DeepSeek-V3-0324 | 131.07K | 32.77K | Text | Historisk ögonblicksbild |
| DeepSeek-R1-0528 | 131.07K | 131.07K | Text | Resonemang i toppklass |
| DeepSeek OCR | 8.19K | 8.19K | Text | Dedikerad multimodal |
| GLM-5 | 200K | 128K | Text | Flaggskeppsgrundmodell |
| MiniMax-M2.5 | 204.8K | 196.6K | Text | SOTA agentbaserad kodning |
How to Use DeepSeek LLM Models on Atlas Cloud
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Create an Atlas Cloud Account
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Varför Använda DeepSeek LLM Models på Atlas Cloud
Att kombinera de avancerade DeepSeek LLM Models-modellerna med Atlas Clouds GPU-accelererade plattform ger oöverträffad prestanda, skalbarhet och utvecklarupplevelse.
Prestanda & flexibilitet
Låg Latens:
GPU-optimerad inferens för realtidsresonemang.
Enhetligt API:
Kör DeepSeek LLM Models, GPT, Gemini och DeepSeek med en integration.
Transparent Prissättning:
Förutsägbar fakturering per token med serverlösa alternativ.
Företag & Skala
Utvecklarupplevelse:
SDK:er, analys, finjusteringsverktyg och mallar.
Tillförlitlighet:
99.99% drifttid, RBAC och efterlevnadsredo loggning.
Säkerhet & Efterlevnad:
SOC 2 Type II, HIPAA-anpassning, datasuveränitet i USA.
Vanliga Frågor om DeepSeek LLM Models
DeepSeek erbjuder transparens genom öppen källkod och överlägsen kostnadseffektivitet. Med resonemangsförmågor (R1 & V3.2) som konkurrerar med GPT-5, tillhandahåller det ett högpresterande, billigare alternativ med flexibiliteten för privat driftsättning.
Detta återspeglar modellens totala "hjärnkapacitet". DeepSeeks MoE-design kombinerar ett massivt totalt antal parametrar (t.ex. 671B) för djup intelligens med ett strömlinjeformat "aktivt" antal för maximal operativ effektivitet.
Utforska Fler Familjer
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.
