DeepSeek LLM Models

DeepSeek LLMファミリーは、コストを劇的に削減する独自に効率的なアーキテクチャを通じて、トップクラスのプロプライエタリモデルに匹敵する最先端のパフォーマンスを提供します。完全なオープンソーススイートとして、クローズドソースの代替品と比較して優れた透明性と適応性を提供し、高度なAIをより身近なものにします。

主要モデルを探索

Atlas Cloudは、業界をリードする最新のクリエイティブモデルを提供します。

NEW
HOT
DeepSeek V3.2 Speciale

Fastest, most cost-effective model from DeepSeek Ai.

LLM

DeepSeek V3.2 Speciale

163.8K コンテキスト:
入力タイプ:
出力タイプ:
コンテキスト:163.84K
入力:$0.4/M token
出力:$1.2/M token
最大出力:65.54K
$0.4/1.2M 入力/出力
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 コンテキスト:
入力タイプ:
出力タイプ:
コンテキスト:163.84K
入力:$0.26/M token
出力:$0.38/M token
最大出力:65.54K
$0.26/0.38M 入力/出力
NEW
HOT
DeepSeek V3.2 Exp

Fastest, most cost-effective model from DeepSeek Ai.

LLM

DeepSeek V3.2 Exp

163.8K コンテキスト:
入力タイプ:
出力タイプ:
コンテキスト:163.84K
入力:$0.27/M token
出力:$0.41/M token
最大出力:65.54K
$0.27/0.41M 入力/出力
NEW
DeepSeek-V3-0324

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

LLM

DeepSeek-V3-0324

131.1K コンテキスト:
入力タイプ:
出力タイプ:
コンテキスト:131.07K
入力:$0.216/M token
出力:$0.88/M token
最大出力:32.77K
$0.216/0.88M 入力/出力
NEW
HOT
DeepSeek-R1-0528

The advanced LLM

LLM

DeepSeek-R1-0528

131.1K コンテキスト:
入力タイプ:
出力タイプ:
コンテキスト:131.07K
入力:$0.55/M token
出力:$2.15/M token
最大出力:32.77K
$0.55/2.15M 入力/出力
NEW
HOT
DeepSeek-V3.1

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

LLM

DeepSeek-V3.1

131.1K コンテキスト:
入力タイプ:
出力タイプ:
コンテキスト:131.07K
入力:$0.3/M token
出力:$0.95/M token
最大出力:32.77K
$0.3/0.95M 入力/出力
DeepSeek OCR

The latest Deepseek model.

LLM

DeepSeek OCR

8.2K コンテキスト:
入力タイプ:
出力タイプ:
コンテキスト:8.19K
入力:$0.04/M token
出力:$0.08/M token
最大出力:8.19K
$0.04/0.08M 入力/出力
NEW
HOT
DeepSeek V3.1 Terminus

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

LLM

DeepSeek V3.1 Terminus

131.1K コンテキスト:
入力タイプ:
出力タイプ:
コンテキスト:131.07K
入力:$0.3/M token
出力:$0.95/M token
最大出力:32.77K
$0.3/0.95M 入力/出力

DeepSeek LLM Modelsの特徴

Atlas Cloudは、業界をリードする最新のクリエイティブモデルを提供します。

オープン・パワー

透明性と管理性を確保した、完全オープンソースのトップティアモデル。

アーキテクチャ効率

高度なMixture-of-Experts (MoE) を活用し、わずかなコストで最高水準のパフォーマンスを実現します。

専用設計された汎用性

汎用性の高い V3.1 から特化型推論の R1 まで、DeepSeek はあらゆるタスクに対応するモデルを提供します。

開発者ファーストの自由

無制限の商用利用が可能な寛容なライセンスを採用し、障壁のないイノベーションを促進します。

実証済みのパフォーマンス

コーディングと推論の業界ベンチマークにおいて、常に最先端の結果を達成しています。

実用的な代替案

オープンソースの手頃さと柔軟性を備えつつ、主要なプロプライエタリモデルに匹敵する能力を提供します。

DeepSeek LLM Modelsでできること

Atlas Cloudは、業界をリードする最新のクリエイティブモデルを提供します。

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())

ソフトウェア開発とコード生成を加速します。

複雑な数学や論理的推論の問題を解決します。

コンテンツ制作からデータ分析まで、多彩なアプリケーションを駆動します。

AIソリューションを低コストかつ大規模に展開。

独自のタスクや専用データに合わせてモデルをカスタマイズ。

強力なAIを商用製品にシームレスに統合。

Atlas CloudでDeepSeek LLM Modelsを使用する理由

高度なDeepSeek LLM ModelsモデルとAtlas CloudのGPU加速プラットフォームを組み合わせることで、比類のないパフォーマンス、スケーラビリティ、開発者エクスペリエンスを提供。

パフォーマンスと柔軟性

低レイテンシ:
リアルタイム推論のためのGPU最適化推論。

統合API:
1つの統合でDeepSeek LLM Models、GPT、Gemini、DeepSeekを実行。

透明な料金:
サーバーレスオプション付きの予測可能なtoken単位の課金。

エンタープライズとスケール

開発者エクスペリエンス:
SDK、分析、ファインチューニングツール、テンプレート。

信頼性:
99.99%の稼働率、RBAC、コンプライアンス対応ロギング。

セキュリティとコンプライアンス:
SOC 2 Type II、HIPAA準拠、米国内のデータ主権。

さらにファミリーを探索

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.

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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.

ファミリーを表示

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.

ファミリーを表示

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.

ファミリーを表示

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.

ファミリーを表示

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.

ファミリーを表示

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.

ファミリーを表示

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.

ファミリーを表示

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.

ファミリーを表示

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.

ファミリーを表示

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.

ファミリーを表示

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.

ファミリーを表示

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.

ファミリーを表示

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.

ファミリーを表示

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.

ファミリーを表示

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.

ファミリーを表示

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.

ファミリーを表示

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.

ファミリーを表示

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.

ファミリーを表示

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.

ファミリーを表示

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.

ファミリーを表示

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.

ファミリーを表示

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.

ファミリーを表示