LLM Reference
OpenRouter

Using LongCat-2.0 on OpenRouter

Implementation guide · LongCat · Meituan

ServerlessOpen Source

OpenRouter exposes LongCat-2.0 through model ID meituan/longcat-2.0. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-07-07. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at OpenRouter and generate an API key.
  2. 2
    Use the OpenRouter SDK or REST API to call meituan/longcat-2.0 — see the documentation for request format.
  3. 3
    You'll be billed $0.30/1M input, $1.20/1M output tokens. See full pricing.

Code Examples

See OpenRouter documentation for integration details.

Pricing on OpenRouter

TypePrice (per 1M)
Input tokens$0.30
Output tokens$1.20

Capabilities

ReasoningJSON / Tool usePrompt Caching

About LongCat-2.0

LongCat-2.0 is Meituan's large-scale MoE language model for coding, long-context, and agentic tasks. The model has 1.6T total parameters, roughly 48B activated per token, native 1M context support, and API access through OpenAI- and Anthropic-compatible LongCat endpoints. Public MIT-licensed safetensors weights are downloadable from Hugging Face, with Transformers, vLLM, and SGLang deployment support.

Model Specs

Released2026-06-30
Parameters1.6T total; ~48B active
Context1m
ArchitectureMixture of Experts

Provider

OpenRouter
OpenRouter

OpenRouter, Inc.

New York, NY, USA