Model Cost Profile

Meituan: LongCat Flash Chat

Developer: meituan

Pricing updated Mar 11, 2026

Input rank: #133Output rank: #158

Live Pricing

Input: $0.2000

Output: $0.8000

Pricing via OpenRouter API ยท Last synced Mar 11, 2026

Meituan's LongCat Flash Chat model features an extensive context window of 131072 tokens, making it ideal for applications requiring in-depth conversational understanding and context retention, such as customer support and interactive chatbots. With an input price of $0.20 per million tokens and an output price of $0.80 per million tokens, teams can effectively manage costs while leveraging the model for high-volume text generation tasks. This pricing structure allows businesses to scale their usage according to their specific needs, optimizing both budget and performance in real-time communication scenarios.

๐Ÿ”ง Tool Calling๐Ÿ“‹ Structured Output

Context Window

131,072

Tokens

Input Price / 1M

$0.2000

Prompt tokens

Output Price / 1M

$0.8000

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

Meituan: LongCat Flash Chat Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 11
$0.2000$0.5000$0.8000Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$0.2000

Current Output / 1M

$0.8000

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FAQ

Common pricing and benchmark questions for Meituan: LongCat Flash Chat.

How much does Meituan: LongCat Flash Chat cost per 1M input tokens?

Meituan: LongCat Flash Chat input pricing is $0.2000 per 1M tokens based on the latest synced provider data.

How much does Meituan: LongCat Flash Chat cost per 1M output tokens?

Meituan: LongCat Flash Chat output pricing is $0.8000 per 1M tokens based on the latest synced provider data.

What context window does Meituan: LongCat Flash Chat support?

Meituan: LongCat Flash Chat supports a context window of 131,072 tokens.

How can I compare Meituan: LongCat Flash Chat with cheaper alternatives?

Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.