Longcat 2.0 API

Meituan's Longcat 2.0, through an OpenAI-compatible API. Providers quote it on an open exchange, and each request goes to the offer with the lowest estimated charge that meets your rules.

Providers compete for each request. The exchange ranks the offers that meet your rules by estimated charge. It fixes your maximum charge before the first token, and you pay for the tokens that the model uses.
The OpenAI and Anthropic APIs. Use the OpenAI or Anthropic SDK that you have. Set the base URL and your key, and send longcat-2.0 as the model.
Your data rules. Send x-liquid-retention: none and only offers whose provider does not keep your content compete for the request.

Facts

Model name: longcat-2.0
Maker: Meituan
Context window: 1M tokens
Input price: $0.750 per million tokens
Output price: $3.002 per million tokens
Providers: 1 independent provider
Regions: us

Providers

Architect: us, $0.750 input and $3.002 output per million tokens, $0.015 cache read per million tokens, 1M tokens of context

Scores

HLE: 33.7, #74 of 273
GPQA: 78.0, #111 of 250
AA-LCR: 65.0, #133 of 237
SciCode: 36.3, #106 of 123

Scores: Artificial Analysis (https://artificialanalysis.ai/)

Request

curl https://router.inference.ai.exchange/v1/chat/completions \
  -H "Authorization: Bearer $LIQUID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "longcat-2.0",
    "messages": [{"role":"user","content":"Say hello."}]
  }'

Questions

What is Longcat 2.0?: Served by intent-router: each job goes to the cheapest healthy upstream for this model.
How much does Longcat 2.0 cost?: Offers now ask $0.750 per million input tokens and $3.002 per million output tokens. A job pays for the tokens it uses. The exchange picks the cheapest eligible offer.
What is the context length of Longcat 2.0?: The largest offer takes 1,000,000 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.
What can Longcat 2.0 do?: Its providers list Reasoning effort, JSON object, JSON schema, Frequency penalty, Logit bias, Log probabilities, Min-p sampling, Presence penalty, Repetition penalty, Seed, Stop sequences, Top-k sampling, Top-p sampling, Text, Tools.
What inputs and outputs does Longcat 2.0 support?: Text → Text.
Which providers serve Longcat 2.0?: 1 independent provider quote it now, with 1 offer. The table above ranks them by the cost of a typical job.
How do I call Longcat 2.0?: Send "longcat-2.0" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.
When was Longcat 2.0 listed?: The exchange first listed it on 10/8/2026. This is not its release date.