KAT-Coder-Pro V2 - Kuaishou KwaiKAT's Flagship AI Coding Model

What is KAT-Coder-Pro V2

KAT-Coder-Pro V2 is the flagship AI coding model launched by the Kuaishou KwaiKAT team, deeply optimized for Agentic Coding scenarios. The model is natively compatible with more than 10 mainstream AI coding tools including Claude Code, Cline, and OpenClaw, and possesses strong scaffolding generalization capabilities and long-chain task execution stability. The core breakthrough lies in front-end aesthetic generation capability. In Landing Page and PPT scenarios, it can output high-quality results close to professional design specs with only colloquial descriptions, and its self-developed aesthetic Benchmark leads competitors by 14-22 points.

Main Features of KAT-Coder-Pro V2

• Native Compatibility with Multiple Agent Frameworks: Deeply adapted to more than 10 mainstream AI coding tools such as Claude Code, Cline, Kilo, and OpenCode, with special optimization for the OpenClaw framework, achieving industry-leading long-chain execution stability and multi-step task completion rates.
• Front-end Aesthetic Generation: Supports intelligent generation for Landing Page and PPT scenarios. Users can obtain high-quality output close to structured design specs with only colloquial descriptions. In PPT scenarios, the average score increases by +103%, and individual elements surge by +300%.
• Ultra-long Context Processing: Supports a 256K context length, with maximum output increased from 32K in V1 to 80K, meeting complex needs such as large codebase analysis and long document generation.
• Streaming Output and Toolchain Integration: Supports streaming output, context caching, MCP, and Function Call. API pricing is 2.1 yuan per million tokens for input and 8.4 yuan per million tokens for output, with cache writes free.
• Code Generation and Repair: SWE-Bench Verified score is 73.4%, tied with GPT-5 High and Claude Sonnet 4.5 for the world's best, excelling at complex code generation, bug fixing, and software engineering tasks.

Technical Principles of KAT-Coder-Pro V2

• Agentic Coding Architecture: Adopts an end-to-end multi-step reasoning framework, optimizing long-chain task execution paths through reinforcement learning, achieving full-process automation from requirement understanding and code generation to test verification, and natively supporting scaffolding generalization for Agent frameworks such as OpenClaw.
• Aesthetic Generation Engine: Based on multimodal alignment technology, it maps natural language descriptions into structured design specs (Design Spec). Through joint vision-language training, it improves the generation quality of UI component layouts, color schemes, and interaction logic, achieving SOTA performance in the self-developed KAT aesthetic Benchmark.
• Ultra-long Context Modeling: Adopts sparse attention mechanisms and dynamic caching strategies to maintain efficient inference within a 256K context window. Through context compression and selective memory technology, it expands maximum output to 80K to support large codebase analysis and long document generation.
• Code-specific Training Paradigm: Conducts instruction fine-tuning and reinforcement learning on software engineering benchmarks such as SWE-Bench. Combined with RLHF training based on code execution feedback, the model gains precise syntax understanding, bug localization, and repair capabilities, with a Verified score of 73.4%, on par with top closed-source models.
• Efficient Inference Optimization: Supports streaming decoding and speculative sampling. At the API layer, it implements context cache reuse (free cache writes, 0.42 yuan per million tokens for reads). Through sparse activation in the MoE architecture, it reduces inference costs, balancing high performance and commercial deployment economics.

Key Information and Usage Requirements of KAT-Coder-Pro V2

• Model Identity: The flagship AI coding model released by the Kuaishou KwaiKAT team at the end of March 2026, with model ID kat-coder-pro-v2, positioned for Agentic Coding and front-end aesthetic generation scenarios.
• Context and Output Specifications: Supports a 256K context length and a maximum output of 80K (a significant increase from V1's 32K), meeting complex needs such as large codebase analysis and long document generation.
• API Pricing Strategy: Input 2.1 yuan/million tokens, output 8.4 yuan/million tokens, cache writes free, cache reads 0.42 yuan/million tokens, with cost-effectiveness significantly better than closed-source models of the same tier.
• Access Method: Requires applying for an API Key or subscribing to a Coding Plan through the Kuaishou StreamLake platform, supports the standard OpenAI-compatible interface format, facilitating seamless migration of existing projects.
• Framework Compatibility Requirements: Natively compatible with more than 10 mainstream AI coding tools including Claude Code, Cline, Kilo, OpenCode, and OpenClaw, with specialized training optimization for the OpenClaw framework, providing the best stability for long-chain task execution.
• Function Calling Support: Fully supports MCP, Function Call, streaming output, and context caching. Ensure the client SDK version supports these features to fully leverage the model's capabilities.
• Performance Benchmarks: SWE-Bench Verified score of 73.4%, tied with GPT-5 High and Claude Sonnet 4.5 as the world's best, suitable for demanding software engineering tasks.
• Network and Compliance Requirements: Domestic users can directly access the StreamLake platform. Enterprise users must complete real-name verification and compliance review before obtaining production environment invocation permissions.

KAT-Coder-Pro V2 Core Advantages

• Deep OpenClaw Ecosystem Integration: As the first domestic model specially optimized for the OpenClaw framework, it achieves industry-leading levels in long-chain execution stability and multi-step task completion rate in Agentic Coding scenarios, becoming important infrastructure for the OpenClaw ecosystem.
• Breakthrough Leadership in Front-End Aesthetics: In the self-developed "KAT Aesthetics Benchmark," it ranks first with a total score of 57.6 in the PPT scenario and 59.8 in the Landing Page scenario, leading competitors such as GPT-5 High by 14-22 points; compared with the previous generation baseline, the PPT average score increased by +103%, and individual element scores surged by +300%.
• Extreme Cost-Effectiveness: API pricing is 2.1 yuan/million tokens for input and 8.4 yuan/million tokens for output, cache writes are free, and cache reads are only 0.42 yuan/million tokens, achieving commercially friendly pricing under flagship specifications of 256K context + 80K output.
• Top-Tier Code Generation Performance: SWE-Bench Verified score of 73.4%, tied with GPT-5 High and Claude Sonnet 4.5 as the world's best code generation models, performing on par with top closed-source solutions in complex software engineering tasks.
• Native Compatibility with Multiple Frameworks: Seamlessly integrates with more than 10 mainstream AI coding tools including Claude Code, Cline, Kilo, and OpenCode without adaptation, greatly reducing developer migration costs.
• Ultra-Long Context and Streaming Output: Supports a 256K context window and 80K maximum output, combined with streaming decoding and MCP/Function Call support, meeting production-grade needs such as large project analysis and long document generation.

KAT-Coder-Pro V2 Official Website Address

• Official Website Address：https://streamlake.com/product/kat-coder

How to Use KAT-Coder-Pro V2

• Calling via StreamLake API: Visit the Kuaishou StreamLake platform to obtain an API Key, and use the model ID kat-coder-pro-v2 to make calls, supporting a 256K context and 80K maximum output, with streaming output and full Function Call capabilities available
• Subscribe to the Coding Plan package: Choose the official Kuaishou Coding Plan subscription service to obtain model invocation quota and priority inference resources on demand, suitable for team-scale usage scenarios
• Integrate into the OpenClaw ecosystem: Configure the model endpoint 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 deployment: Connect to third-party tools such as Claude Code through the Wanqing platform, using distributed inference nodes to ensure low-latency responses in high-concurrency scenarios

Comparison of KAT-Coder-Pro V2 with similar competing products

Application scenarios of KAT-Coder-Pro V2

• AI-assisted software development: As a back-end model for Agent tools such as Claude Code and OpenClaw, it enables full-process automation from requirements analysis, code generation, and debugging to testing, and is especially suitable for complex software engineering tasks and long-chain coding workflows.
• Intelligent front-end page generation: Quickly generate front-end code such as Landing Pages, marketing pages, and product official websites. Users only need to describe design requirements in colloquial terms (style, color scheme, layout) to output a complete implementation close to professional designer standards.
• Automated presentation creation: Intelligent generation for PPT scenarios, automatically designing layouts, color schemes, and visual elements based on the topic content, with an average score improvement of +103% compared with the previous-generation model, suitable for high-frequency needs such as business reports and academic presentations.
• Large-Scale Codebase Analysis and Refactoring: Leveraging a 256K context window and 80K output capability, it supports architecture analysis, dependency mapping, cross-file refactoring, and documentation generation for million-line-scale codebases, addressing the pain point of insufficient context in traditional models.
• Multi-Agent Collaborative Orchestration: As a core reasoning node in the OpenClaw ecosystem, it coordinates multiple specialized Agents (such as testing Agents, documentation Agents, and deployment Agents) to complete end-to-end software delivery, improving team collaboration efficiency.
• Educational Programming and Code Teaching: Utilizing top-tier code generation capabilities (SWE-Bench Verified 73.4%), it provides students with high-quality code examples, bug fix explanations, and algorithm implementation guidance, lowering the barrier to learning programming.