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.
Verken Toonaangevende Modellen
Atlas Cloud biedt u de nieuwste toonaangevende creatieve modellen in de industrie.
Wat DeepSeek LLM Models Onderscheidt
Atlas Cloud biedt u de nieuwste toonaangevende creatieve modellen uit de industrie.
Open Kracht
Eersteklas modellen die volledig open-source zijn en zorgen voor transparantie en controle.
Architecturale efficiëntie
Maakt gebruik van geavanceerde Mixture-of-Experts (MoE) voor toonaangevende prestaties tegen een fractie van de kosten.
Doelgerichte veelzijdigheid
Van de veelzijdige V3.1 tot de gespecialiseerde redenering van R1, DeepSeek biedt modellen voor elke taak.
Vrijheid gericht op ontwikkelaars
Ruimhartig gelicentieerd voor onbeperkt commercieel gebruik, ter bevordering van innovatie zonder barrières.
Bewezen prestaties
Behaalt consequent state-of-the-art resultaten op industriestandaarden voor coderen en redeneren.
Het praktische alternatief
Biedt de kracht van toonaangevende propriëtaire modellen met de betaalbaarheid en flexibiliteit van open source.
Peak speed
Lowest cost
| Modaliteit | Beschrijving |
|---|---|
| DeepSeek V3.2 | DeepSeek V3.2 is een toonaangevend general-purpose LLM dat sparse attention-mechanismen integreert met robuuste 163.8K contextverwerkingsmogelijkheden; met zeer concurrerende basisprijzen dient het als hoeksteen voor dagelijkse workflows, waaronder complexe algemene redenering en het bouwen van meerstaps taakplannings-Agents. |
| DeepSeek V3.2 Speciale | DeepSeek V3.2 Speciale is gepositioneerd als een krachtig, aangepast LLM, met een enorm contextvenster van 163,8K en een premium gelaagde prijsstructuur ($0,4 input / $1,2 output), specifiek ontworpen voor latentiegevoelige kernbedrijfsknooppunten die ultieme uitvoerkwaliteit vereisen, zoals intelligente klantenservice voor vermogende klanten of kwantitatieve analyse op millisecondeniveau. |
| DeepSeek V3.2 Exp | DeepSeek V3.2 Exp is een geavanceerde experimentele versie gebaseerd op de V3.2-architectuur, die de nieuwste algoritmische functies integreert met behoud van een 163.8K-context en vergelijkbare kosten. Dit maakt het ideaal voor R&D-teams die technisch vooronderzoek en canary-tests uitvoeren om preventief de onderscheidende kracht van de volgende generatie AI-mogelijkheden voor toekomstige producten te valideren. |
| DeepSeek-V3.1 | DeepSeek-V3.1 is de nieuwste generatie hoogwaardige open-source ecosysteemmodellen, die een nieuwe balans vindt tussen prestaties en kosten binnen een context van 131.1K; als de beste keuze voor commerciële implementatieprojecten fungeert het als de ruggengraat voor scenario's die zowel hoogwaardige generatie als beheersbare kosten vereisen. |
| DeepSeek V3.1 Terminus | DeepSeek V3.1 Terminus dient als de langdurig stabiele, ultieme vorm van de V3.1-serie. DeepSeek V3.1 Terminus behoudt identieke parameters en prijzen als de standaardversie, met als doel een permanent stabiele uitvoerstijl en logica te bieden voor naadloze, op de consument gerichte endpoint-services in productieomgevingen. |
| DeepSeek-V3-0324 | DeepSeek-V3-0324 is een specifieke historische snapshot-versie met een context van 131,1K en de laagste beschikbare tekstinvoerkosten, voornamelijk toegepast in het onderhoud van legacy-systemen die absolute gedragsconsistentie vereisen, of batchverwerkingstaken met een enorme invoerdoorvoer maar gematigde eisen aan de uitvoerlogica. |
| DeepSeek-R1-0528 | DeepSeek-R1-0528 is gepositioneerd als een top-tier diepgaand redeneermodel, gebruikmakend van een 131.1K context en met de hoogste rekenkosten ($0.55/$2.15). Het vertegenwoordigt het toppunt van logische dialectische capaciteiten en wordt uitsluitend gebruikt voor kritieke "brainstorming"-taken zoals complexe wiskundige modellering en geavanceerde codearchitectuur-generatie. |
| DeepSeek OCR | DeepSeek OCR is een toegewijd visueel multimodaal LLM dat dual-track beeld-tekst invoer ondersteunt met een korte 8.2K context en ultralage gebruikskosten, perfect aangepast voor scenario's met geautomatiseerde data-invoerpijplijnen, zoals de digitalisering van massale gescande documenten en gestructureerde extractie van financiële bonnetjes. |
Nieuwe functies van DeepSeek LLM Models + Showcase
De combinatie van geavanceerde modellen met het GPU-versnelde platform van Atlas Cloud biedt ongeëvenaarde snelheid, schaalbaarheid en creatieve controle voor beeld- en videogeneratie.
Redenering en verificatie van wereldklasse 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.
Ongeëvenaarde cognitieve diepgang via DeepSeek-R1 API
Het DeepSeek-R1-model staat in de voorhoede van redeneer-AI en levert toonaangevende prestaties op het gebied van wiskunde, programmeren en algemene logica. Door gelijkwaardigheid te bereiken met wereldwijde elite-modellen zoals OpenAI's o3 en Gemini-2.5-Pro, heeft R1 de mogelijkheden van open-source intelligentie opnieuw gedefinieerd. Het is specifiek geoptimaliseerd voor diepgaande denktaken, waaronder complexe algoritme-ontwikkeling, geavanceerde gegevenssynthese en geavanceerde cognitieve workflows die meertraps deductief redeneren vereisen.
Naadloze dagelijkse interactie met autonome agent-workflows met behulp van de DeepSeek V3.2 API
DeepSeek-V3.2 vindt de perfecte balans tussen redeneerdiepte en uitvoeringssnelheid, ontworpen om naadloze dagelijkse interacties en autonome agent-ecosystemen aan te drijven. Met aanzienlijk verminderde latentie en geoptimaliseerde outputcontrole fungeert het als een robuuste motor voor meertraps taakorkestratie en algemene AI-assistenten. Of het nu gaat om het implementeren van automatisering op ondernemingsschaal of hoogfrequente interactieve tools, V3.2 zorgt voor een vloeiende, efficiënte en kosteneffectieve gebruikerservaring.
Rigoureuze wetenschappelijke ontdekking & formele verificatie met 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.
Naadloze orkestratie van autonome agenten met de 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.
Modelvergelijking
Bekijk hoe modellen van verschillende aanbieders zich verhouden — vergelijk prestaties, prijzen en unieke sterke punten voor een weloverwogen beslissing.
| Model | Context | Maximale uitvoer | Invoer | Positionering |
|---|---|---|---|---|
| DeepSeek V3.2 | 163.84K | 163.84K | Text | Vlaggenschip Algemeen |
| DeepSeek V3.2 Speciale | 163.84K | 163.84K | Text | Hoogwaardig aangepast |
| DeepSeek V3.2 Exp | 163.84K | 163.84K | Text | Experimentele build |
| DeepSeek-V3.1 | 131.07K | 65.54K | Text | Open-source backbone |
| DeepSeek V3.1 Terminus | 131.07K | 65.54K | Text | Langdurig stabiel (LTS) |
| DeepSeek-V3-0324 | 131.07K | 32.77K | Text | Historische momentopname |
| DeepSeek-R1-0528 | 131.07K | 131.07K | Text | Redeneervermogen van topniveau |
| DeepSeek OCR | 8.19K | 8.19K | Text | Toegewezen multimodaal |
| GLM-5 | 200K | 128K | Text | Vlaggenschip-basismodel |
| MiniMax-M2.5 | 204.8K | 196.6K | Text | SOTA agentisch coderen |
How to Use DeepSeek LLM Models on Atlas Cloud
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Waarom DeepSeek LLM Models Gebruiken Op Atlas Cloud
De combinatie van DeepSeek LLM Models's geavanceerde modellen met het GPU-versnelde platform van Atlas Cloud biedt ongeëvenaarde prestaties, schaalbaarheid en ontwikkelaarservaring.
Prestatie & Flexibiliteit
Lage Latentie:
GPU-geoptimaliseerde inferentie voor realtime reasoning.
Uniforme API:
Voer DeepSeek LLM Models, GPT, Gemini en DeepSeek uit met één integratie.
Transparante Prijzen:
Voorspelbare op tokens gebaseerde facturering met serverloze opties.
Onderneming & Schaling
Ontwikkelaarservaring:
SDK's, analytics, fine-tuning tools en sjablonen.
Betrouwbaarheid:
99,99% beschikbaarheid, RBAC en compliance-ready logging.
Beveiliging & Compliance:
SOC 2 Type II, HIPAA-afstemming, gegevenssoevereiniteit in VS.
Veelgestelde Vragen over DeepSeek LLM Models
DeepSeek biedt open-source transparantie en superieure kostenefficiëntie. Met redeneercapaciteiten (R1 & V3.2) die concurreren met GPT-5, biedt het een krachtig, goedkoper alternatief met de flexibiliteit van private deployment.
Dit weerspiegelt de totale "hersencapaciteit" van het model. Het MoE-ontwerp van DeepSeek combineert een enorm totaal aantal parameters (bijv. 671B) voor diepe intelligentie met een gestroomlijnd "actief" aantal voor maximale operationele efficiëntie.
Verken Meer Families
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
