Meituan: LongCat 2.0
meituan/longcat-2.0
Access LongCat 2.0 from Meituan using Puter.js AI API.
Get Started// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "meituan/longcat-2.0"
}).then(response => {
document.body.innerHTML = response.message.content;
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain quantum computing in simple terms", {
model: "meituan/longcat-2.0"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
# pip install openai
from openai import OpenAI
client = OpenAI(
base_url="https://api.puter.com/puterai/openai/v1/",
api_key="YOUR_PUTER_AUTH_TOKEN",
)
response = client.chat.completions.create(
model="meituan/longcat-2.0",
messages=[
{"role": "user", "content": "Explain quantum computing in simple terms"}
],
)
print(response.choices[0].message.content)
curl https://api.puter.com/puterai/openai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
-d '{
"model": "meituan/longcat-2.0",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
LongCat 2.0 is a 1.6-trillion-parameter Mixture-of-Experts (MoE) language model from Meituan, activating between roughly 33B and 56B parameters per token depending on query complexity.
It supports a native 1-million-token context window through a custom LongCat Sparse Attention mechanism built for long-context workloads, and is tuned for agentic coding tasks such as whole-repository reasoning, multi-step terminal use, and cross-language migration. On SWE-bench Pro it scores 59.5, edging GPT-5.5's 58.6, and reaches 70.8 on Terminal-Bench 2.1 and 77.3 on SWE-bench Multilingual; Meituan reports overall performance comparable to Google's Gemini 3.1 Pro.
A good fit for developers building coding agents or tools that need large context windows for whole-codebase reasoning.
Context Window 1M
tokens
Max Output 262K
tokens
Input Cost $0.3
per million tokens
Output Cost $1.2
per million tokens
Release Date Jul 20, 2026
Model Playground
Try LongCat 2.0 instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
Frequently Asked Questions
You can access LongCat 2.0 by Meituan through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add LongCat 2.0 to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $0.3 |
| Output | $1.2 |
LongCat 2.0 was created by Meituan and released on Jul 20, 2026.
LongCat 2.0 supports a context window of 1M tokens. For reference, that is roughly equivalent to 2,098 pages of text.
LongCat 2.0 can generate up to 262K tokens in a single response.
Yes — the LongCat 2.0 API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
Get started with Puter.js
Add LongCat 2.0 to your app without worrying about API keys or setup.
Read the Docs View Tutorials