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.
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.
Peak speed
Lowest cost
| Model | Description |
|---|---|
| Kimi K2.5 | Kimi K2.5 is a multimodal flagship LLM, integrating continued pretraining on 15T mixed visual and text tokens with 262.14K context processing; boasting Visual Agentic Intelligence, it serves as the frontier for complex cross-modal reasoning and sophisticated visual-task automation. |
| Kimi-K2-Thinking | Kimi-K2-Thinking is a high-reasoning specialized LLM, integrating deep chain-of-thought architectures with robust analytical capabilities; boasting cognitive depth beyond reflex-grade limits, it serves as the engine for complex logical inference and intricate problem-solving workflows. |
| Kimi-K2-Instruct-0905 | Kimi-K2-Instruct-0905 is an optimized agentic LLM, integrating enhanced coding prowess with expansive 262.14K context support; boasting high-precision execution, it serves as the catalyst for large-scale codebase management and advanced developer-centric agentic operations. |
| Kimi-K2-Instruct | Kimi-K2-Instruct is a streamlined general-purpose LLM, integrating reflex-grade response mechanisms with 131.07K context processing capabilities; boasting a polished post-trained framework, it serves as the primary interface for drop-in chat and agile, direct agentic experiences. |
New features of Moonshot LLM Models + Showcase
Combining advanced models with Atlas Cloud's GPU-accelerated platform delivers unmatched speed, scalability, and creative control for image and video generation.
Swarm Task Execution using Kimi K2.5
Kimi K2.5 replaces single-threaded reasoning by coordinating up to 100 sub-agents to work on complex goals in parallel. By breaking down massive projects into manageable steps, users can complete multi-stage workflows 4.5 times faster than using standard AI models. It is the ultimate solution for automating high-level project management and executing long-chain professional instructions.
Direct Video Analysis using Kimi K2.5
Kimi K2.5 supports direct video and image inputs to understand motion, logical sequences, and complex layouts without any external plugins. By feeding the model screen recordings or design files, users can instantly extract architectural details and visual data with pinpoint accuracy. It is the ultimate solution for real-time video interpretation and bridging the gap between visual assets and text logic.
Aesthetic Frontend Generation using Kimi K2.5
Kimi K2.5 combines professional backend logic with a refined eye for design and interactive 3D motion. By uploading UI mockups or demo clips, users can generate functional code for Three.js and complex animations that are both robust and visually stunning. It is the ultimate solution for developers who need code that doesn’t just work, but follows high-end design principles.
What You Can Do with Moonshot LLM Models
Discover practical use cases and workflows you can build with this model family — from content creation and automation to production-grade applications.
Visual-to-Code Frontend Generation with the Kimi K2.5
The Kimi K2.5 transforms static design screenshots or UI demo videos into functional React or Vue codebases integrated with Three.js animations. Perfect for creative developers and rapid prototyping, the model preserves complex lighting and motion—supporting the instant creation of 3D landing pages, interactive data dashboards, and polished marketing microsites.
Deep Document Auditing with the Kimi K2.5 Context Engine
Kimi K2.5 allows finance and legal professionals to upload hundreds of pages of disparate reports to identify conflicting clauses or hidden data trends in seconds. By asking specific questions about risk factors or financial figures, users can generate structured comparison tables with direct citations to page numbers. It is the ultimate solution for exhaustive due diligence and auditing massive document archives without manual reading.
Complex Narrative Logic Synthesis with the Kimi K2.5 Model
The Kimi K2.5 Model enables screenwriters and game designers to expand simple character prompts into full-length episodic scripts with perfect plot consistency and multi-branching logic. Ideal for immersive world-building and narrative-heavy media, the model tracks long-term story arcs without contradictions—supporting the creation of interactive dialogue trees, episodic storyboards, and detailed lore bibles.
Model Comparison
See how models from different providers stack up — compare performance, pricing, and unique strengths to make an informed decision.
| Model | Context | Max Output | Input | Positioning |
|---|---|---|---|---|
| Kimi K2.5 | 262.14K | 262.14K | Text | Multimodal flagship LLM |
| Kimi-K2-Thinking | 262.14K | 262.14K | Text | High-reasoning specialized LLM |
| Kimi-K2-Instruct-0905 | 262.14K | 32.77K | Text | Max Output |
| Kimi-K2-Instruct | 131.07K | 131.07K | Text | Streamlined general-purpose LLM |
| MiniMax M2.5 | 196.61K | 196.6K | Text | SOTA Agentic Coding |
| GLM-5 | 202.75K | 202.75K | Text | Flagship Foundation Model |
| DeepSeek V3.2 | 163.84K | 163.84K | Text | Flagship General |
How to Use Moonshot LLM Models on Atlas Cloud
Get started in minutes — follow these simple steps to integrate and deploy models through Atlas Cloud's platform.
Create an Atlas Cloud Account
Sign up at atlascloud.ai and complete verification. New users receive free credits to explore the platform and test models.
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.
Frequently Asked Questions about Moonshot LLM Models
Kimi K2.5 supports a 262.14K token context window, enabling users to upload and analyze massive datasets, long-form technical manuals, or entire codebases in a single session.
It allows the model to decompose one complex goal into multiple sub-tasks, orchestrating up to 100 autonomous agents to work in parallel, which results in up to 4.5x faster execution than single-agent models.
Yes. Beyond static images, Kimi K2.5 features native multimodal vision that analyzes direct video streams to identify movement patterns, logical sequences, and spatial layouts with frame-level precision.
Highly capable. It scores 76.8% on the SWE-bench Verified, meaning it can translate design screenshots into production-ready code integrated with complex Three.js animations and responsive layouts.
You can access Kimi K2.5 via OpenAI-compatible APIs hosted on Atlas Cloud, allowing for a seamless "drop-in" replacement without rewriting your current application logic.
Explore More Families
Promote Models (Qwen)
Wan 2.7 Video 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.
Nano Banana 2 Image 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.
Seedream 5.0 Image 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.
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.
Kling 3.0 Video 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.
Vidu Video Models
Vidu, a joint innovation by Shengshu AI and Tsinghua University, is a high-performance video model powered by the original U-ViT architecture that blends Diffusion and Transformer technologies. It delivers long-form, highly consistent, and dynamic video content tailored for professional filmmaking, animation design, and creative advertising. By streamlining high-end visual production, Vidu empowers creators to transform complex ideas into cinematic reality with unprecedented efficiency.
Van Video Models
Built on the Wan 2.5 and 2.6 frameworks, Van Model is a flagship AI video series that delivers superior high-resolution outputs with unmatched creative freedom. By blending cinematic 3D VAE visuals with Flow Matching dynamics, it leverages proprietary compute distillation to offer ultra-fast inference speeds at a fraction of the cost, making it the premier engine for scalable, high-frequency video production on a budget.
MiniMax LLM Models
As a premier suite of Large Language Models (LLMs) developed by MiniMax AI, MiniMax is engineered to redefine real-world productivity through cutting-edge artificial intelligence. The ecosystem features MiniMax M2.5, which is purpose-built for high-efficiency professional environments, and MiniMax M2.1, a model that offers significantly enhanced multi-language programming capabilities to master complex, large-scale technical tasks. By achieving SOTA performance in coding, agentic tool use, intelligent search, and office workflow automation, MiniMax empowers users to streamline a wide range of economically valuable operations with unparalleled precision and reliability.
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.
Promote Models (Qwen)
Wan 2.7 Video 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.
Nano Banana 2 Image 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.
Seedream 5.0 Image 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.
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.
Kling 3.0 Video 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.
Vidu Video Models
Vidu, a joint innovation by Shengshu AI and Tsinghua University, is a high-performance video model powered by the original U-ViT architecture that blends Diffusion and Transformer technologies. It delivers long-form, highly consistent, and dynamic video content tailored for professional filmmaking, animation design, and creative advertising. By streamlining high-end visual production, Vidu empowers creators to transform complex ideas into cinematic reality with unprecedented efficiency.
Van Video Models
Built on the Wan 2.5 and 2.6 frameworks, Van Model is a flagship AI video series that delivers superior high-resolution outputs with unmatched creative freedom. By blending cinematic 3D VAE visuals with Flow Matching dynamics, it leverages proprietary compute distillation to offer ultra-fast inference speeds at a fraction of the cost, making it the premier engine for scalable, high-frequency video production on a budget.
MiniMax LLM Models
As a premier suite of Large Language Models (LLMs) developed by MiniMax AI, MiniMax is engineered to redefine real-world productivity through cutting-edge artificial intelligence. The ecosystem features MiniMax M2.5, which is purpose-built for high-efficiency professional environments, and MiniMax M2.1, a model that offers significantly enhanced multi-language programming capabilities to master complex, large-scale technical tasks. By achieving SOTA performance in coding, agentic tool use, intelligent search, and office workflow automation, MiniMax empowers users to streamline a wide range of economically valuable operations with unparalleled precision and reliability.
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.
