KAT-Coder-Pro V2 - Kuaishou KwaiKAT's flagship AI programming model

What is KAT-Coder-Pro V2?

KAT-Coder-Pro V2 is a flagship AI programming model launched by the KwaiKAT team at Kuaishou, deeply optimized for agentic coding scenarios. The model is natively compatible with over 10 mainstream AI coding tools, including Claude Code, Cline, and OpenClaw, and boasts powerful scaffolding generalization capabilities and stability in long-chain task execution. Its core breakthrough lies in its front-end aesthetic generation capabilities; in Landing Page and PPT scenarios, it can output high-quality results approaching professional design specifications with only conversational descriptions. Its self-developed aesthetic benchmark leads competitors by 14-22 points.

Main functions of KAT-Coder-Pro V2

• Multi-Agent framework natively compatibleIt is deeply compatible with more than 10 mainstream AI coding tools such as Claude Code, Cline, Kilo, and OpenCode, and is specifically optimized for the OpenClaw framework, achieving industry-leading stability in long-chain execution and completion rate of multi-step tasks.
• Front-end aesthetics generationSupports intelligent generation of landing pages and PPT scenarios. Users only need to use conversational descriptions to obtain high-quality outputs that are close to structured design specifications. The average score of PPT scenarios is improved by +103%, and the number of individual elements increases by +300%.
• Long context processingIt supports a 256K context length and increases the maximum output from 32K in V1 to 80K, meeting complex needs such as large codebase analysis and long document generation.
• Streaming output and toolchain integrationSupports streaming output, context caching, MCP, and Function Calls. API pricing is 2.1 yuan per million tokens for input and 8.4 yuan per million tokens for output. Cache writes are free.
• Code generation and repairWith a SWE-Bench Verified score of 73.4%, it ranks among the best globally, alongside GPT-5 High and Claude Sonnet 4.5, excelling in complex code generation, bug fixing, and software engineering tasks.

Technical Principles of KAT-Coder-Pro V2

• Agentic Coding ArchitectureIt adopts an end-to-end multi-step inference framework and optimizes the execution path of long-chain tasks through reinforcement learning, realizing full-process automation from requirement understanding, code generation to test verification, and natively supports scaffolding generalization of Agent frameworks such as OpenClaw.
• Aesthetic Generation EngineBased on multimodal alignment technology, natural language descriptions are mapped to structured design specifications (Design Spec). Visual-language joint training improves the generation quality of UI component layout, color scheme and interaction logic, achieving state-of-the-art performance in the self-developed KAT aesthetics benchmark.
• Ultra-long context modelingEmploying a sparse attention mechanism and dynamic caching strategy, it maintains efficient inference within a 256K context window. Through context compression and selective memory techniques, it extends the maximum output to 80K to support large codebase analysis and long document generation.
• Code-specific training paradigmBy fine-tuning instructions and performing reinforcement learning on software engineering benchmarks such as SWE-Bench, and combining RLHF training with code execution feedback, the model possesses accurate syntax understanding, bug localization and fixing capabilities, achieving a Verified score of 73.4%, on par with top closed-source models.
• Efficient Reasoning OptimizationIt supports streaming decoding and speculative sampling, and the API layer implements context cache reuse (cache writes are free, reads cost 0.42 yuan/million tokens). It reduces inference costs through sparse activation of the MoE architecture, balancing high performance and the economics of commercial deployment.

Key information and usage requirements for KAT-Coder-Pro V2

• Model IdentityThe KwaiKAT team's flagship AI programming model, released at the end of March 2026, has the model ID [model ID missing]. kat-coder-pro-v2It is positioned for the scenarios of Agentic Coding and front-end aesthetic generation.
• Context and output specificationsSupports a 256K context length and a maximum output of 80K (a significant improvement over V1's 32K), meeting complex needs such as large codebase analysis and long document generation.
• API pricing strategyInput cost: 2.1 yuan/million tokens; output cost: 8.4 yuan/million tokens; cache write cost: free; cache read cost: 0.42 yuan/million tokens; cost-effectiveness is significantly better than closed-source models of the same level.
• Access methodYou need to apply for an API Key or subscribe to the Coding Plan through the Kuaishou StreamLake platform. It supports standard OpenAI compatible interface formats, which facilitates seamless migration of existing projects.
• Framework compatibility requirementsIt is natively compatible with more than 10 mainstream AI coding tools such as Claude Code, Cline, Kilo, OpenCode, and OpenClaw. It has been specially trained and optimized for the OpenClaw framework, and has the best stability for long-chain tasks.
• Function call supportFull support for MCP, Function Call, streaming output, and context caching is required. Ensure that the client SDK version supports these features to fully utilize the model's capabilities.
• Performance benchmarkWith a SWE-Bench Verified score of 73.4%, it ranks among the best globally, alongside GPT-5 High and Claude Sonnet 4.5, making it suitable for demanding software engineering tasks.
• Network and compliance requirementsDomestic users can directly access the StreamLake platform, while enterprise users need to complete real-name authentication and compliance review before they can obtain production environment access.

KAT-Coder-Pro V2's core advantages

• Deep integration of the OpenClaw ecosystemAs the first domestically developed model specifically optimized for the OpenClaw framework, it has achieved industry-leading levels in long-chain execution stability and multi-step task completion rate in Agentic Coding scenarios, becoming an important infrastructure for the OpenClaw ecosystem.
• Leading in front-end aestheticsIn the self-developed "KAT Aesthetics Benchmark", the PPT scene score of 57.6 and the Landing Page score of 59.8 both ranked first, leading competitors such as GPT-5 High by 14-22 points; compared with the previous generation baseline PPT, the average score increased by +103%, and the individual element score increased by +300%.
• Ultimate cost-effectivenessAPI pricing is 2.1 yuan per million tokens for input and 8.4 yuan per million tokens for output. Cache writes are free, and cache reads are only 0.42 yuan per million tokens, achieving commercially friendly pricing with flagship specifications of 256K context + 80K output.
• Top-tier code generation performanceWith a SWE-Bench Verified score of 73.4%, it ranks alongside GPT-5 High and Claude Sonnet 4.5 as the world's best code generation model, performing comparable to top closed-source solutions in complex software engineering tasks.
• Native compatibility with multiple frameworksIt can be seamlessly integrated with more than 10 mainstream AI coding tools such as Claude Code, Cline, Kilo, and OpenCode without adaptation, greatly reducing the migration cost for developers.
• Long context and streaming outputIt supports a 256K context window and an 80K maximum output, and with streaming decoding and MCP/Function Call support, it meets production-level needs such as large-scale project analysis and long document generation.

KAT-Coder-Pro V2 official website address

• Official website addresshttps://streamlake.com/product/kat-coder

How to use KAT-Coder-Pro V2

• Call via StreamLake APIAccess the Kuaishou StreamLake platform to obtain the API Key, and use the model ID. kat-coder-pro-v2 It supports 256K context and 80K maximum output for invocation, with full streaming output and Function Call functionality enabled.
• Subscribe to a Coding PlanSubscribing to Kuaishou's official Coding Plan allows you to access model call limits and prioritize inference resources as needed, making it suitable for large-scale team use cases.
• Access the OpenClaw ecosystemConfigure model endpoints directly in Agent tools such as OpenClaw, Claude Code, Cline, Kilo, and OpenCode, leveraging native compatibility for zero-cost migration and enjoying stability optimizations for long-chain task execution.
• Wanqing Inference Node DeploymentBy integrating third-party tools such as Claude Code through the WanQing platform, distributed inference nodes are used to ensure low-latency response in high-concurrency scenarios.

KAT-Coder-Pro V2 Comparison with Similar Products

Application Scenarios of KAT-Coder-Pro V2

• AI-assisted software developmentAs a backend model for Agent tools such as Claude Code and OpenClaw, it automates the entire process from requirements analysis, code generation, debugging to testing, making it particularly suitable for complex software engineering tasks and long-chain coding workflows.
• Intelligent generation of front-end pagesQuickly generate front-end code for landing pages, marketing pages, product websites, etc. Users only need to verbally describe their design requirements (style, color scheme, layout) to get a complete implementation that is close to the level of a professional designer.
• Automated presentation creationThe PPT scene is intelligently generated, automatically designing the layout, color scheme and visual elements according to the theme and content. Compared with the previous generation model, the average score is improved by +103%, which is suitable for high-frequency needs such as business reports and academic presentations.
• Large codebase analysis and refactoringLeveraging a 256K context window and 80K output capability, it supports architecture analysis, dependency management, cross-file refactoring, and documentation generation for codebases with millions of lines of code, addressing the pain point of insufficient context in traditional models.
• Multi-Agent Collaborative OrchestrationIn the OpenClaw ecosystem, it serves as a core inference node, coordinating multiple specialized agents (such as test agents, documentation agents, and deployment agents) to complete end-to-end software delivery and improve team collaboration efficiency.
• Educational programming and code teachingLeveraging top-tier code generation capabilities (SWE-Bench Verified 73.4%), we provide students with high-quality code examples, bug fix explanations, and algorithm implementation guidance, lowering the barrier to entry for learning programming.