LongCat-Flash-Chat

Overview

Overview

LongCat-Flash-Chat is Meituan's first open-source foundation model, a 560B parameter Mixture-of-Experts (MoE) model that dynamically activates 18.6B-31.3B parameters (~27B average) based on contextual demands. It features Zero-Computation Experts for efficient routing and supports 128K context. Optimized for conversational and agentic tasks, it shows competitive performance across reasoning, coding, instruction following, and domain benchmarks with particular strengths in tool use and complex multi-step interactions. Achieves over 100 tokens per second on H800 GPUs.

LongCat-Flash-Chat was released on August 29, 2025. API access is available through Meituan.

Benchmarks

Benchmarks

LongCat-Flash-Chat Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

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llm-stats.com - Sat Feb 21 2026

Pricing

Pricing

Pricing, performance, and capabilities for LongCat-Flash-Chat across different providers:

Provider	Input ($/M)	Output ($/M)	Max Input	Max Output	Latency (s)	Throughput	Quantization	Input	Output
Meituan	$0.30	$1.20	128.0K	128.0K	3.0	100.0 c/s	—	Text Image Audio Video	Text Image Audio Video

API Access