DeepSeek LLM Models

Rodzina DeepSeek LLM zapewnia najnowocześniejszą wydajność, rywalizując z czołowymi modelami własnościowymi dzięki wyjątkowo wydajnej architekturze, która drastycznie obniża koszty. Jako w pełni otwarty pakiet (open-source), zapewnia lepszą przejrzystość i zdolność adaptacji w porównaniu z alternatywami o zamkniętym kodzie, czyniąc zaawansowaną sztuczną inteligencję bardziej dostępną.

Poznaj Wiodące Modele

Atlas Cloud zapewnia najnowsze, wiodące w branży modele kreatywne.

NEW
HOT
DeepSeek V3.2 Speciale

Fastest, most cost-effective model from DeepSeek Ai.

LLM

DeepSeek V3.2 Speciale

163.8K KONTEKST:
Typ wejścia:
Typ wyjścia:
Kontekst:163.84K
Wejście:$0.4/M tokenów
Wyjście:$1.2/M tokenów
Maks. Wyjście:65.54K
$0.4/1.2M wejście/wyjście
NEW
HOT
DeepSeek V3.2

DeepSeek V3.2 is a state-of-the-art large language model combining efficient sparse attention, strong reasoning, and integrated agent capabilities for robust long-context understanding and versatile AI applications.

LLM

DeepSeek V3.2

163.8K KONTEKST:
Typ wejścia:
Typ wyjścia:
Kontekst:163.84K
Wejście:$0.26/M tokenów
Wyjście:$0.38/M tokenów
Maks. Wyjście:65.54K
$0.26/0.38M wejście/wyjście
NEW
HOT
DeepSeek V3.2 Exp

Fastest, most cost-effective model from DeepSeek Ai.

LLM

DeepSeek V3.2 Exp

163.8K KONTEKST:
Typ wejścia:
Typ wyjścia:
Kontekst:163.84K
Wejście:$0.27/M tokenów
Wyjście:$0.41/M tokenów
Maks. Wyjście:65.54K
$0.27/0.41M wejście/wyjście
NEW
DeepSeek-V3-0324

DeepSeek's updated V3 model released on 03/24/2025.

LLM

DeepSeek-V3-0324

131.1K KONTEKST:
Typ wejścia:
Typ wyjścia:
Kontekst:131.07K
Wejście:$0.216/M tokenów
Wyjście:$0.88/M tokenów
Maks. Wyjście:32.77K
$0.216/0.88M wejście/wyjście
NEW
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DeepSeek-R1-0528

The advanced LLM

LLM

DeepSeek-R1-0528

131.1K KONTEKST:
Typ wejścia:
Typ wyjścia:
Kontekst:131.07K
Wejście:$0.55/M tokenów
Wyjście:$2.15/M tokenów
Maks. Wyjście:32.77K
$0.55/2.15M wejście/wyjście
NEW
HOT
DeepSeek-V3.1

Deepseek's latest and most powerful open-source model.

LLM

DeepSeek-V3.1

131.1K KONTEKST:
Typ wejścia:
Typ wyjścia:
Kontekst:131.07K
Wejście:$0.3/M tokenów
Wyjście:$0.95/M tokenów
Maks. Wyjście:32.77K
$0.3/0.95M wejście/wyjście
DeepSeek OCR

The latest Deepseek model.

LLM

DeepSeek OCR

8.2K KONTEKST:
Typ wejścia:
Typ wyjścia:
Kontekst:8.19K
Wejście:$0.04/M tokenów
Wyjście:$0.08/M tokenów
Maks. Wyjście:8.19K
$0.04/0.08M wejście/wyjście
NEW
HOT
DeepSeek V3.1 Terminus

Deepseek's latest and most powerful open-source model.

LLM

DeepSeek V3.1 Terminus

131.1K KONTEKST:
Typ wejścia:
Typ wyjścia:
Kontekst:131.07K
Wejście:$0.3/M tokenów
Wyjście:$0.95/M tokenów
Maks. Wyjście:32.77K
$0.3/0.95M wejście/wyjście

Co Wyróżnia DeepSeek LLM Models

Atlas Cloud zapewnia najnowsze, wiodące w branży modele kreatywne.

Otwarta Moc

Najwyższej klasy modele w pełni open-source, zapewniające przejrzystość i kontrolę.

Efektywność architektury

Wykorzystuje zaawansowaną architekturę Mixture-of-Experts (MoE), zapewniając wiodącą wydajność za ułamek kosztów.

Specjalnie zaprojektowana wszechstronność

Od wszechstronnego V3.1 po wyspecjalizowane rozumowanie R1, DeepSeek oferuje modele do każdego zadania.

Wolność zorientowana na programistę

Udostępniony na licencji permisywnej do nieograniczonego użytku komercyjnego, wspierając innowacje bez barier.

Sprawdzona wydajność

Konsekwentnie osiąga najlepsze wyniki w branżowych testach porównawczych dotyczących kodowania i rozumowania.

Praktyczna alternatywa

Zapewnia moc wiodących modeli zamkniętych przy przystępności cenowej i elastyczności rozwiązań open source.

Co Możesz Zrobić z DeepSeek LLM Models

Atlas Cloud zapewnia najnowsze, wiodące w branży modele kreatywne.

1import requests
2
3url = "https://api.atlascloud.ai/v1/chat/completions"
4headers = {
5    "Content-Type": "application/json",
6    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
7}
8data = {
9    "model": "",
10    "messages": [
11        {
12            "role": "user",
13            "content": "what is difference between http and https"
14        }
15    ],
16    "max_tokens": 32768,
17    "temperature": 1,
18    "stream": True
19}
20
21response = requests.post(url, headers=headers, json=data)
22print(response.json())

Przyspiesz rozwój oprogramowania i generowanie kodu.

Rozwiązuj złożone problemy matematyczne i logiczne.

Napędzaj wszechstronne aplikacje, od tworzenia treści po analizę danych.

Wdrażaj rozwiązania AI na dużą skalę w opłacalny sposób.

Dostosuj modele do unikalnych zadań i danych zastrzeżonych.

Płynnie integruj potężne rozwiązania AI z produktami komercyjnymi.

Dlaczego Używać DeepSeek LLM Models na Atlas Cloud

Połączenie zaawansowanych modeli DeepSeek LLM Models z platformą GPU-akcelerowaną Atlas Cloud zapewnia niezrównaną wydajność, skalowalność i doświadczenie deweloperskie.

Wydajność i Elastyczność

Niska Latencja:
Inferencja zoptymalizowana pod GPU dla rozumowania w czasie rzeczywistym.

Zunifikowane API:
Uruchamiaj DeepSeek LLM Models, GPT, Gemini i DeepSeek za pomocą jednej integracji.

Przejrzysta Wycena:
Przewidywalne rozliczenia za token z opcjami serverless.

Przedsiębiorstwo i Skala

Doświadczenie Dewelopera:
SDK, analityka, narzędzia dostrajania i szablony.

Niezawodność:
99,99% dostępności, RBAC i logowanie gotowe na zgodność.

Bezpieczeństwo i Zgodność:
SOC 2 Type II, zgodność z HIPAA, suwerenność danych w USA.

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Seedance 2.0(by Bytedance) is a multimodal video generation model that redefines "controllable creation," moving beyond the limitations of text or start/end frames. It supports quad-modal inputs—text, image, video, and audio—and introduces an industry-leading "Universal Reference" system. By precisely replicating the composition, camera movement, and character actions from reference assets, Seedance 2.0 solves critical issues with character consistency and physical coherence, empowering creators to act as true "directors" with deep control over their output.

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Vidu Video Models

Vidu (by ShengShu Technology) is a foundational video model built on the proprietary U-ViT architecture, combining the strengths of Diffusion and Transformer models. It features superior semantic understanding and generation capabilities, producing coherent, fluid visuals that adhere to physical laws without the need for interpolation. With exceptional spatiotemporal consistency and a deep understanding of diverse cultural elements, Vidu empowers professional filmmakers and creators with a stable, efficient, and imaginative tool for video production.

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MiniMax LLM Models

MiniMax is a large language model developed by MiniMax AI, focused on efficient reasoning, long-context understanding, and scalable text generation. It is designed for complex tasks such as dialogue systems, document analysis, content creation, and AI agents. With an emphasis on high performance at lower computational cost, MiniMax is well suited for enterprise applications and developer use cases where stability, efficiency, and cost control are important.

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GLM LLM Models

GLM (General Language Model) is a large language model developed by ZAI (Zhipu AI) for text understanding, generation, and reasoning. It supports both Chinese and English and performs well in dialogue, content creation, translation, and code assistance. GLM is widely used in chatbots, enterprise AI systems, and developer applications due to its stable performance and versatility.

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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.

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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.

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Van Video Models

Van Model is a flagship video model family, perfectly retaining the cinematic visuals and complex dynamics of 3D VAE and Flow Matching. By leveraging proprietary compute distillation, it breaks the "quality equals cost" barrier to deliver extreme inference speeds and ultra-low costs. This makes Van the premier engine for enterprises and developers seeking high-frequency, scalable video production on a budget.

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Kling 3.0 Video Models

Kling AI Video 3.0 (by Kuaishou) is a groundbreaking model designed to bridge the worlds of sound and visuals through its unique Single-pass architecture. By simultaneously generating visuals, natural voiceovers, sound effects, and ambient atmosphere, it eliminates the disjointed workflows of traditional tools. This true audio-visual integration simplifies complex post-production, providing creators with an immersive storytelling solution that significantly boosts both creative depth and output efficiency.

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Veo3.1 Video Models

Veo 3.1 (by Google) is a flagship generative video model that sets a new standard for cinematic AI by deeply integrating semantic capabilities to deliver cinematic visuals, synchronized audio, and complex storytelling in a single workflow. Distinguishing itself through superior adherence to cinematic terminology and physics-based consistency, it offers professional filmmakers an unparalleled tool for transforming scripts into coherent, high-fidelity productions with precise directorial control.

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Sora-2 Video Models

The Sora-2 family from OpenAI is the next-generation video + audio generation model, enabling both text-to-video and image-to-video outputs with synchronized dialogue, sound effect, improved physical realism, and fine-grained control.

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Nano Banana Image Models

Nano Banana is a fast, lightweight image generation model for playful, vibrant visuals. Optimized for speed and accessibility, it creates high-quality images with smooth shapes, bold colors, and clear compositions—perfect for mascots, stickers, icons, social posts, and fun branding.

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Wan2.6 Video Models

Wan 2.6 is a next-generation AI video generation model from Alibaba’s Tongyi Lab, designed for professional-quality, multimodal video creation. It combines advanced narrative understanding, multi-shot storytelling, and native audio–visual synchronization to produce smooth 1080p videos up to 15 s long from text and reference inputs. Wan 2.6 also supports character consistency and role-guided generation, enabling creators to turn scripts into cohesive scenes with seamless motion and lip syncing. Its efficiency and rich creative control make it ideal for short films, advertising, social media content, and automated video workflows.

Zobacz Rodzinę

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.

Zobacz Rodzinę

Vidu Video Models

Vidu (by ShengShu Technology) is a foundational video model built on the proprietary U-ViT architecture, combining the strengths of Diffusion and Transformer models. It features superior semantic understanding and generation capabilities, producing coherent, fluid visuals that adhere to physical laws without the need for interpolation. With exceptional spatiotemporal consistency and a deep understanding of diverse cultural elements, Vidu empowers professional filmmakers and creators with a stable, efficient, and imaginative tool for video production.

Zobacz Rodzinę

MiniMax LLM Models

MiniMax is a large language model developed by MiniMax AI, focused on efficient reasoning, long-context understanding, and scalable text generation. It is designed for complex tasks such as dialogue systems, document analysis, content creation, and AI agents. With an emphasis on high performance at lower computational cost, MiniMax is well suited for enterprise applications and developer use cases where stability, efficiency, and cost control are important.

Zobacz Rodzinę

GLM LLM Models

GLM (General Language Model) is a large language model developed by ZAI (Zhipu AI) for text understanding, generation, and reasoning. It supports both Chinese and English and performs well in dialogue, content creation, translation, and code assistance. GLM is widely used in chatbots, enterprise AI systems, and developer applications due to its stable performance and versatility.

Zobacz Rodzinę

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.

Zobacz Rodzinę

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.

Zobacz Rodzinę

Van Video Models

Van Model is a flagship video model family, perfectly retaining the cinematic visuals and complex dynamics of 3D VAE and Flow Matching. By leveraging proprietary compute distillation, it breaks the "quality equals cost" barrier to deliver extreme inference speeds and ultra-low costs. This makes Van the premier engine for enterprises and developers seeking high-frequency, scalable video production on a budget.

Zobacz Rodzinę

Kling 3.0 Video Models

Kling AI Video 3.0 (by Kuaishou) is a groundbreaking model designed to bridge the worlds of sound and visuals through its unique Single-pass architecture. By simultaneously generating visuals, natural voiceovers, sound effects, and ambient atmosphere, it eliminates the disjointed workflows of traditional tools. This true audio-visual integration simplifies complex post-production, providing creators with an immersive storytelling solution that significantly boosts both creative depth and output efficiency.

Zobacz Rodzinę

Veo3.1 Video Models

Veo 3.1 (by Google) is a flagship generative video model that sets a new standard for cinematic AI by deeply integrating semantic capabilities to deliver cinematic visuals, synchronized audio, and complex storytelling in a single workflow. Distinguishing itself through superior adherence to cinematic terminology and physics-based consistency, it offers professional filmmakers an unparalleled tool for transforming scripts into coherent, high-fidelity productions with precise directorial control.

Zobacz Rodzinę

Sora-2 Video Models

The Sora-2 family from OpenAI is the next-generation video + audio generation model, enabling both text-to-video and image-to-video outputs with synchronized dialogue, sound effect, improved physical realism, and fine-grained control.

Zobacz Rodzinę

Nano Banana Image Models

Nano Banana is a fast, lightweight image generation model for playful, vibrant visuals. Optimized for speed and accessibility, it creates high-quality images with smooth shapes, bold colors, and clear compositions—perfect for mascots, stickers, icons, social posts, and fun branding.

Zobacz Rodzinę

Wan2.6 Video Models

Wan 2.6 is a next-generation AI video generation model from Alibaba’s Tongyi Lab, designed for professional-quality, multimodal video creation. It combines advanced narrative understanding, multi-shot storytelling, and native audio–visual synchronization to produce smooth 1080p videos up to 15 s long from text and reference inputs. Wan 2.6 also supports character consistency and role-guided generation, enabling creators to turn scripts into cohesive scenes with seamless motion and lip syncing. Its efficiency and rich creative control make it ideal for short films, advertising, social media content, and automated video workflows.

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