LongCat 2.0

3.10
Meituan’s next-generation open-source AI model optimized for long-context understanding, coding, and intelligent Agent task execution.
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CompanyMeituan
Context1M
Released2026-07
Updated2026-07-22

LongCat 2.0 Overview

LongCat 2.0 is a next-generation open-source large language model developed by Meituan’s LongCat team. Built with a Mixture-of-Experts (MoE) architecture, the model delivers powerful reasoning capabilities and supports ultra-long context processing of up to 1 million tokens.
Designed for AI Agents, software development, and complex task execution, LongCat 2.0 provides advanced code understanding, code generation, repository-level modifications, and automated workflow capabilities.
The model integrates with popular AI development tools and ecosystems, helping developers build more efficient intelligent applications. With support for long-document analysis, multi-step reasoning, tool calling, and automated workflows, LongCat 2.0 is suitable for software engineering, enterprise automation, AI Agent development, and knowledge management scenarios.

LongCat 2.0 Pricing

PlanPriceDescription
Free Trial Free Provides access to basic LongCat 2.0 capabilities, including AI conversations, coding assistance, long-context analysis, and Agent feature testing. Suitable for individuals and developers exploring the model and building prototypes.
Paid Plan (API Usage Plan) Usage-based pricing Pricing is based on API usage and token consumption. Supports higher-volume requests, application integration, and commercial deployment. Suitable for development teams building AI Agents, intelligent applications, and automation systems.
Enterprise Plan Custom Pricing Provides enterprise-grade AI solutions, including large-scale API integration, private deployment, system integration, security management, team collaboration, and technical support for enterprise AI adoption.

LongCat 2.0 Key Features

Ultra-Long Context Understanding: Processes large documents, codebases, and complex information with million-token context support.
AI Agent Capabilities: Supports tool calling, multi-step reasoning, and automated task execution.
Advanced Coding Intelligence: Enables code generation, code understanding, project-level modifications, and software engineering workflows.
Complex Task Reasoning: Handles multi-stage analysis, problem solving, and long-term task planning.
Open-Source Ecosystem: Allows developers to deploy, customize, and build applications with the model.
Developer Tool Integration: Works with popular AI coding tools to improve development efficiency.

Summary

① AI application developers
② Software engineers
③ AI Agent developers
④ Enterprise technology teams
⑤ Data analysts and researchers
⑥ Professionals requiring long-context processing and AI automation capabilities

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