Moonshot LLM Models

KimiはMoonshot AIによって開発された大規模言語モデルであり、推論、コーディング、および長い文脈の理解(ロングコンテキスト)のために設計されています。コード生成、分析、インテリジェントアシスタントなどの複雑なタスクにおいて優れたパフォーマンスを発揮します。強力なパフォーマンスと効率的なアーキテクチャを備えたKimiは、エンタープライズAIアプリケーションや開発者のユースケースに適しています。能力とコストのバランスが取れているため、LLMエコシステムにおいてますます人気のある選択肢となっています。

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。

Moonshot 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。

フロンティア推論

実世界のタスクにおいて、高度な推論、複雑な問題解決、多段階の指示を実行できるよう最適化されたモデル。

ロングコンテキストの掌握

非常に長い入力に対応し、豊富なチャット履歴、大規模なドキュメント、および複数ファイルのコード理解を可能にします。

バイリンガルの実力

クロスリンガルな検索、分析、コンテンツ作成に対応した、ネイティブレベルの中国語と強力な英語力。

開発者エコシステム

Moonshot 搭載製品の構築、統合、イテレーションを容易にする API、SDK、およびツール。

エンタープライズ級の信頼性

ミッションクリティカルなAIアプリケーションを提供するチーム向けに設計された、SLA、モニタリング、ガバナンス機能。

費用対効果の高いパフォーマンス

最適化されたアーキテクチャとサービングスタックは、本番環境のワークロードにおいて、品質、速度、トークンレベルのコストのバランスを保ちます。

Moonshot 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())

高精度なロングコンテキスト推論を実現する、エンタープライズグレードのアシスタントを構築。

強力な推論機能とツール呼び出し機能により、コーディング、検索、分析を加速させます。

長文ドキュメントやマルチターンのワークフローを実行します。

バリアントを選択して、コストとレイテンシを最適化します。

信頼性が高く、事実に基づいた回答を必要とするアプリにご活用ください。

API、またはプライベートクラウド/VPC環境経由で安全にデプロイ可能です。

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

高度なMoonshot 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Moonshot 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.

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

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