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 ti fornisce i più recenti modelli creativi leader del settore.
Cosa Rende Speciale DeepSeek LLM Models
Atlas Cloud ti fornisce i più recenti modelli creativi leader del settore.
Potenza Aperta
Modelli di alto livello completamente open source, che garantiscono trasparenza e controllo.
Efficienza architetturale
Sfrutta l'avanzato Mixture-of-Experts (MoE) per prestazioni leader a una frazione del costo.
Versatilità appositamente progettata
Dal versatile V3.1 al ragionamento specializzato di R1, DeepSeek offre modelli per ogni attività.
Libertà incentrata sullo sviluppatore
Con licenza permissiva per uso commerciale illimitato, favorendo l'innovazione senza barriere.
Prestazioni comprovate
Raggiunge costantemente risultati all'avanguardia nei benchmark di settore per la programmazione e il ragionamento.
L'alternativa pratica
Offre la potenza dei principali modelli proprietari con la convenienza e la flessibilità dell'open source.
Peak speed
Lowest cost
| Modalità | Descrizione |
|---|---|
| DeepSeek V3.2 | DeepSeek V3.2 è un LLM di punta per uso generale, che integra meccanismi di attenzione sparsa con robuste capacità di elaborazione del contesto di 163.8K; vantando prezzi base altamente competitivi, funge da pietra miliare per i flussi di lavoro quotidiani, tra cui il ragionamento generale complesso e la costruzione di Agents per la pianificazione di attività multi-step. |
| DeepSeek V3.2 Speciale | DeepSeek V3.2 Speciale si posiziona come un LLM personalizzato ad alte prestazioni, caratterizzato da una massiccia finestra di contesto di 163,8K e da una struttura di prezzi a scaglioni premium ($0,4 input / $1,2 output), progettato specificamente per nodi aziendali core sensibili alla latenza che richiedono la massima qualità di output, come il servizio clienti intelligente per clienti high-net-worth o l'analisi quantitativa a livello di millisecondi. |
| DeepSeek V3.2 Exp | DeepSeek V3.2 Exp è una versione sperimentale all'avanguardia basata sull'architettura V3.2, che integra le ultime funzionalità algoritmiche mantenendo un contesto di 163.8K e costi comparabili, rendendola ideale per i team di R&S che conducono pre-ricerca tecnica e test canary per convalidare preventivamente il potere differenziante delle capacità AI di prossima generazione per i prodotti futuri. |
| DeepSeek-V3.1 | DeepSeek-V3.1 è l'ultima generazione di modelli di ecosistema open-source ad alte prestazioni, che raggiunge un nuovo equilibrio tra prestazioni e costi all'interno di un contesto di 131.1K; come scelta migliore per i progetti di implementazione commerciale, funge da spina dorsale per scenari che richiedono sia una generazione di alta qualità che costi controllabili. |
| DeepSeek V3.1 Terminus | DeepSeek V3.1 Terminus funge da forma definitiva stabile a lungo termine della serie V3.1; DeepSeek V3.1 Terminus mantiene parametri e prezzi identici alla versione standard, con l'obiettivo di fornire uno stile di output e una logica perpetuamente stabili per servizi endpoint in ambienti di produzione fluidi e orientati al consumatore. |
| DeepSeek-V3-0324 | DeepSeek-V3-0324 è una specifica versione snapshot storica caratterizzata da un contesto di 131,1K e dal costo di input del testo più basso disponibile, applicata principalmente nella manutenzione di sistemi legacy che richiedono assoluta coerenza comportamentale, o in attività di elaborazione batch con un enorme throughput di input ma requisiti di logica di output moderati. |
| DeepSeek-R1-0528 | DeepSeek-R1-0528 si posiziona come un modello di ragionamento profondo di alto livello, utilizzando un contesto di 131.1K e richiedendo il costo di calcolo più elevato ($0.55/$2.15); rappresenta l'apice delle capacità dialettiche logiche ed è utilizzato esclusivamente per compiti critici di "brainstorming" come la modellazione matematica complessa e la generazione di architetture di codice avanzate. |
| DeepSeek OCR | DeepSeek OCR è un LLM multimodale visivo dedicato che supporta l'input a doppio binario immagine-testo con un contesto breve di 8.2K e costi di utilizzo bassissimi, perfettamente adattato per scenari di pipeline di inserimento dati automatizzato come la digitalizzazione di enormi volumi di documenti scansionati e l'estrazione strutturata di ricevute finanziarie. |
Nuove funzionalità di DeepSeek LLM Models + Showcase
La combinazione di modelli avanzati con la piattaforma accelerata da GPU di Atlas Cloud offre velocità, scalabilità e controllo creativo senza pari per la generazione di immagini e video.
Ragionamento e verifica di classe mondiale tramite l'API DeepSeek-V3.2-Speciale
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.
Profondità cognitiva ineguagliabile tramite DeepSeek-R1 API
Il modello DeepSeek-R1 si colloca all'avanguardia nell'IA di ragionamento, offrendo prestazioni leader del settore in matematica, programmazione e logica generale. Raggiungendo la parità con modelli globali d'élite come o3 di OpenAI e Gemini-2.5-Pro, R1 ha ridefinito le capacità dell'intelligenza open source. È specificamente ottimizzato per compiti di pensiero profondo, tra cui lo sviluppo algoritmico complesso, la sintesi di dati sofisticata e flussi di lavoro cognitivi avanzati che richiedono un ragionamento deduttivo a più fasi.
Interazione quotidiana fluida con flussi di lavoro di agenti autonomi utilizzando l'API DeepSeek V3.2
DeepSeek-V3.2 raggiunge il perfetto equilibrio tra profondità di ragionamento e velocità di esecuzione, progettato per alimentare interazioni quotidiane senza interruzioni ed ecosistemi di agenti autonomi. Con una latenza significativamente ridotta e un controllo dell'output ottimizzato, funge da motore robusto per l'orchestrazione di attività multi-step e assistenti IA generici. Che si tratti di implementare automazione su scala aziendale o strumenti interattivi ad alta frequenza, V3.2 garantisce un'esperienza utente fluida, efficiente ed economica.
Scoperta scientifica rigorosa e verifica formale con 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.
Orchestrazione fluida di agenti autonomi con l'API DeepSeek-V3.2
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.
Confronto Modelli
Scopri come si confrontano i modelli di diversi provider — confronta prestazioni, prezzi e punti di forza unici per una decisione informata.
| Modello | Contesto | Output massimo | Input | Posizionamento |
|---|---|---|---|---|
| DeepSeek V3.2 | 163.84K | 163.84K | Text | Generale di punta |
| DeepSeek V3.2 Speciale | 163.84K | 163.84K | Text | Personalizzato ad alte prestazioni |
| DeepSeek V3.2 Exp | 163.84K | 163.84K | Text | Build sperimentale |
| DeepSeek-V3.1 | 131.07K | 65.54K | Text | Backbone open source |
| DeepSeek V3.1 Terminus | 131.07K | 65.54K | Text | Stabile a lungo termine (LTS) |
| DeepSeek-V3-0324 | 131.07K | 32.77K | Text | Istantanea storica |
| DeepSeek-R1-0528 | 131.07K | 131.07K | Text | Ragionamento di alto livello |
| DeepSeek OCR | 8.19K | 8.19K | Text | Multimodale dedicato |
| GLM-5 | 200K | 128K | Text | Modello di fondazione di punta |
| MiniMax-M2.5 | 204.8K | 196.6K | Text | Coding agentico SOTA |
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.
Domande Frequenti su DeepSeek LLM Models
DeepSeek offre trasparenza open source e un'efficienza dei costi superiore. Con capacità di ragionamento (R1 e V3.2) che rivaleggiano con GPT-5, fornisce un'alternativa ad alte prestazioni e a basso costo con la flessibilità del deployment privato.
Ciò riflette la "capacità cerebrale" totale del modello. Il design MoE di DeepSeek abbina un numero totale massiccio di parametri (ad esempio, 671B) per un'intelligenza profonda a un numero "attivo" ottimizzato per la massima efficienza operativa.
Explore More 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.
