KAT-Coder-Air V2.5

1.95
A lightweight AI coding model optimized for software engineering, supporting code generation, project analysis, debugging, and Agent-powered development workflows.
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CompanyKwaipilot
Context256K
Released2026-07
Updated2026-07-22

KAT-Coder-Air V2.5 Overview

KAT-Coder-Air V2.5 is an efficient Agentic Coding model developed by Kwaipilot, designed for real-world software engineering scenarios. Compared with KAT-Coder-Pro V2.5, the Air version focuses more on speed, efficiency, and cost optimization while maintaining strong coding capabilities.
The model supports code generation, code understanding, project refactoring, bug fixing, and automated Agent workflows. It can analyze code repositories, understand project structures, and complete multi-step engineering tasks. With a 256K-token context window and up to 80K-token output capacity, it is suitable for medium-to-large codebases and complex development projects.
KAT-Coder-Air V2.5 is designed for developers and engineering teams who need a balanced solution between performance and cost, making it suitable for AI coding assistants, automated development tools, code maintenance, and software engineering Agent applications.

KAT-Coder-Air V2.5 Pricing

PlanPriceDescription
Free Trial Free Provides access to basic KAT-Coder-Air V2.5 features, including code generation, project analysis, code optimization, and AI coding Agent capabilities. Suitable for developers exploring the model and building small projects.
Paid Plan (API Usage Plan) Usage-based pricing Designed for development teams integrating APIs to build AI coding assistants, automated development tools, and software engineering workflows.
Enterprise Plan Custom Pricing Provides enterprise-grade AI development solutions, including large-scale API integration, team collaboration, system integration, security management, private deployment, and technical support.

KAT-Coder-Air V2.5 Key Features

Intelligent Code Generation: Creates, completes, optimizes, and improves code with AI assistance.
Code Repository Understanding: Analyzes project structures, identifies issues, and supports code modifications.
AI Agent Workflows: Enables task planning, tool usage, and automated development processes.
Code Refactoring & Debugging: Helps improve code quality and resolve development issues.
Long Context Processing: Handles large codebases, technical documents, and complex software projects.
High Efficiency & Low Cost: Optimized for frequent API usage and scalable development workflows.

Summary

① Software engineers
② AI coding tool developers
③ Front-end and back-end developers
④ Enterprise engineering teams
⑤ DevOps and automation engineers
⑥ Individuals and businesses seeking affordable AI coding assistance

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Kwaipilot Model Comparison

Model Context Pricing API Released Global Heat
KAT-Coder-Air V2.5
256K YES 2026-07
39/100
256K YES 2026-07
40/100

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