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.
Explore the Leading Moonshot LLM Models
Atlas Cloud provides you with the latest industry-leading creative models.
Kimi K2.5 is an advanced large language model with strong reasoning and upgraded native multimodality. It natively understands and processes text and images, delivering more accurate analysis, better instruction following, and stable performance across complex tasks. Designed for production use, Kimi K2.5 is ideal for AI assistants, enterprise applications, and multimodal workflows that require reliable and high-quality outputs.
Kimi K2.5
Kimi's latest and most powerful open-source model.
Kimi-K2-Thinking
No description available.
Kimi-K2-Instruct-0905
Kimi's latest and most powerful open-source model.
Kimi-K2-Instruct
What Makes Moonshot LLM Models Stand Out
Atlas Cloud provides you with the latest industry-leading creative models.
Frontier Reasoning
Models tuned for deep reasoning, complex problem-solving, and multi-step instructions across real-world tasks.
Long-Context Mastery
Support for very long inputs, enabling rich chat histories, large documents, and multi-file code understanding.
Bilingual Strength
Native-level Chinese and strong English capability for cross-lingual search, analysis, and content creation.
Developer Ecosystem
APIs, SDKs, and tools that make it easy to build, integrate, and iterate on Moonshot-powered products.
Enterprise Reliability
SLAs, monitoring, and governance features designed for teams shipping mission-critical AI applications.
Cost-Efficient Performance
Optimized architecture and serving stack balance quality, speed, and token-level cost for production workloads.
What You Can Do with Moonshot LLM Models
Atlas Cloud provides you with the latest industry-leading creative models.
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())Build enterprise-grade assistants for accurate, long-context reasoning.
Accelerate coding, search, and analysis with strong reasoning and tool-calling capabilities.
Run long-document and multi-turn workflows.
Optimize cost and latency by choosing from variants.
Apply in apps that need reliable, factual answers.
Deploy securely via APIs or private cloud/VPC setups.
Why Use Moonshot LLM Models on Atlas Cloud
Combining the advanced Moonshot 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 Moonshot 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.
Explore More Families
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.
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.
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.
Kling O3 Video Models
Kling AI Video O3 (by Kuaishou) is an unified multimodal video model designed to unlock endless creative possibilities through its advanced MVL architecture. By integrating videos, images, and text descriptions, it offers a more intuitive and efficient workflow than traditional tools, enabling creators to transform complex intentions into high-quality cinematic content with ease.
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.
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.
Seedance 1.5 Video Models
Seedance 1.5 (by ByteDance) is an advanced AI video generation model designed for high-quality, cinematic video creation with synchronized audio. It supports text-to-video and image-to-video generation with smooth motion, cohesive storytelling, and reliable visual consistency. Unlike traditional tools that add sound later, Seedance 1.5 can produce videos with natural audio-visual alignment, making it ideal for creators, marketers, and social media content workflows. Its balanced performance and ease of use help lower production cost and speed up content output.
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.
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.
Flux.2 Image Models
The Flux.2 Series is a comprehensive family of AI image generation models. Across the lineup, Flux supports text-to-image, image-to-image, reconstruction, contextual reasoning, and high-speed creative workflows.
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.
Image and Video Tools
Open, advanced large-scale image generative models that power high-fidelity creation and editing with modular APIs, reproducible training, built-in safety guardrails, and elastic, production-grade inference at scale.
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.
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.
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.
Kling O3 Video Models
Kling AI Video O3 (by Kuaishou) is an unified multimodal video model designed to unlock endless creative possibilities through its advanced MVL architecture. By integrating videos, images, and text descriptions, it offers a more intuitive and efficient workflow than traditional tools, enabling creators to transform complex intentions into high-quality cinematic content with ease.
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.
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.
Seedance 1.5 Video Models
Seedance 1.5 (by ByteDance) is an advanced AI video generation model designed for high-quality, cinematic video creation with synchronized audio. It supports text-to-video and image-to-video generation with smooth motion, cohesive storytelling, and reliable visual consistency. Unlike traditional tools that add sound later, Seedance 1.5 can produce videos with natural audio-visual alignment, making it ideal for creators, marketers, and social media content workflows. Its balanced performance and ease of use help lower production cost and speed up content output.
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.
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.
Flux.2 Image Models
The Flux.2 Series is a comprehensive family of AI image generation models. Across the lineup, Flux supports text-to-image, image-to-image, reconstruction, contextual reasoning, and high-speed creative workflows.
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.
Image and Video Tools
Open, advanced large-scale image generative models that power high-fidelity creation and editing with modular APIs, reproducible training, built-in safety guardrails, and elastic, production-grade inference at scale.
