Meituan: LongCat 2.0: AI model
LongCat 2.0 is a trillion-scale mixture-of-experts model for coding and agents from Meituan with a 1M-token context window. Reachable from inside Iran through Hormouz.
- Context window:
- 1,048,756 tokens
- Input:
- $0.3/1M tokens
- Output:
- $1.2/1M tokens
- Discount:
- −60%
- Type:
- text
- Tools
- Streaming
- Long context
Thinking levels:
LongCat 2.0 is Meituan's sparse mixture-of-experts model with 1.6 trillion parameters, 48B of them active per token. It is suited to coding, repository-level changes, long problem solving and agent workflows, and it reads up to about 1M tokens of text.
It accepts text input and returns text, and supports tool calling and streaming. LongCat 2.0 is commonly used for repository-level code changes, coding agents, long problem solving and agent workflows. Hormouz serves it behind an OpenAI-compatible API: point your base URL at Hormouz, drop in a Hormouz key, and existing OpenAI SDK code runs without changes.
Pricing is usage-based: $0.3 per million input tokens and $1.2 per million output tokens. There is no fixed monthly fee, and you pay only for the tokens you use. Hormouz provides stable access to the model from inside Iran, with no foreign credit card or circumvention tooling required.
LongCat 2.0 is a sparse mixture-of-experts language model from Meituan, with 48B active parameters out of 1.6T total. It is suited for coding, repository-level changes, long-horizon problem solving, and agentic...
Quickstart
curl https://api.hormouz.net/v1/chat/completions \
-H "Authorization: Bearer ng-YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "meituan/longcat-2.0",
"messages": [{"role": "user", "content": "Hello!"}]
}'Specs
| Vendor | Meituan |
|---|---|
| Type | Text |
| Context window | 1,048,756 tokens |
| Pricing | Previous price: $0.75 / $3 per MDiscounted price: $0.3 / $1.2 per M−60% |
| API | Chat Completions |
| Capabilities | Streaming · Tools |
Benchmarks
Reasoning
Coding
Agentic
Source: Artificial Analysis
Code example
curl https://api.hormouz.net/v1/chat/completions \
-H "Authorization: Bearer ng-YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "meituan/longcat-2.0",
"messages": [{"role": "user", "content": "Hello!"}]
}'from openai import OpenAI
client = OpenAI(api_key="ng-YOUR_API_KEY", base_url="https://api.hormouz.net/v1")
response = client.chat.completions.create(
model="meituan/longcat-2.0",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({ apiKey: "ng-YOUR_API_KEY", baseURL: "https://api.hormouz.net/v1" });
const response = await client.chat.completions.create({
model: "meituan/longcat-2.0",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);Buy the Meituan: LongCat 2.0 API, paid in rial
- Buy credit with an Iranian bank card; no foreign card or account needed.
- One Hormouz key reaches Meituan: LongCat 2.0 and 600+ other models, and you pay only for what you use.
- No VPN and no risk of a banned account; just change the base URL to api.hormouz.net/v1.
Use via Hormouz
Connect to this model and 600+ others with one API key, then see usage down to each request.
Request company accessFAQ
- How much does LongCat 2.0 cost?
- Pricing is usage-based: $0.3 per million input tokens and $1.2 per million output tokens. There is no fixed monthly fee, and you pay only for the tokens you use.
- How do I access LongCat 2.0 from inside Iran?
- Create an account on Hormouz and generate an API key. Hormouz provides a stable path to the model from inside Iran, with no foreign credit card or circumvention tooling required.
- Is LongCat 2.0 compatible with OpenAI code?
- Yes. Hormouz exposes an OpenAI-compatible API. Point your base URL at Hormouz and swap in your Hormouz key. Your existing SDKs and code run without a rewrite.
- What context window and capabilities does LongCat 2.0 have?
- It has a 1M-token context window, accepts text input, and supports tool calling and streaming.
- What is LongCat 2.0 good for?
- Typical uses are repository-level code changes, coding agents, long problem solving and agent workflows.
Updated 2026-10-13