Moduck

Meituan: LongCat-2.0

Meituan LongCat-2.0, a reasoning model with tool calling and a 1M-token context window

Model lab
Meituan
Model family
longcat
Modalitiestext → text
Context window1,000,000
Maximum output131,072
InputUSD 0.24 / 1M tokens
OutputUSD 0.96 / 1M tokens

Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to moduck/meituan/longcat-2-0.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "moduck/meituan/longcat-2-0"

response = requests.post(
    f"{base_url}/chat/completions",
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
    },
    json={
        "model": model_id,
        "messages": [{"role": "user", "content": "Hello!"}],
        "stream": False,
    },
    timeout=60,
)
response.raise_for_status()
print(response.json())

Use the familiar OpenAI-style chat request format to make model integration easier.

LongCat-2.0 API Pricing

TypePrice information
InputUSD 0.24 / 1M tokens
OutputUSD 0.96 / 1M tokens
Cached inputUSD 0.0048 / 1M tokens

Benchmarks

Intelligence Index · v4.319.1
Coding Index45.3
Agentic Index14
BenchmarkScoreMeasurementSource
SWE-Bench Pro59.5resolve rate · Date: 2026-06-30
SWE-Bench Multilingual77.3resolve rate · Date: 2026-06-30
Terminal-Bench70.8success rate · Version: 2.1 · Date: 2026-06-30
GPQA Diamond88.9accuracy · Date: 2026-06-30
BrowseComp79.9accuracy · Date: 2026-06-30
IFEval90accuracy · Date: 2026-06-30
FORTE73.2success rate · Date: 2026-06-30

Performance

Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.

Artificial Analysis measurement

Output speed63.63 tokens/s
Time to first token2.67 s
Time to first answer token—
End-to-end response time—

Performance trends

Throughput63.63 tok/sCurrent
Time to first token2.67 sCurrent
End-to-end latency7.9 sCurrent
Throughput
Current63.63 tok/s
Window average63.7 tok/s
Time to first token
Current2.67 s
Window average2.9 s
End-to-end latency
Current7.9 s
Window average7.5 s
Tail latency (P99)
Current14.8 s
Window average16.8 s
Prompt cache hit rate
Current19.2%
Window average24.5%
Error rate
Current0.0%
Window average0.2%

Availability

Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.

Uptime100%At least one provider responded
Availability100%Requests actually served
Error rate0%Share of failed requests
Served requests, hour by hour
24 hours agoNow

LongCat-2.0 Compare models

ModelInput priceOutput priceContext windowCapabilities
LongCat-2.0This pageUSD 0.24 / 1M tokensUSD 0.96 / 1M tokens1,000,000Text output · Reasoning · Tool calling
LongCat-2.5-PreviewUSD 0.6 / 1M tokensUSD 2.36 / 1M tokens1,000,000Text output · Reasoning · Tool calling
Beam 1.0 501B A23BUSD 0.2 / 1M tokensUSD 0.8 / 1M tokens1,048,576Text output · Reasoning · Tool calling
Ling 3.1 FlashUSD 0.06 / 1M tokensUSD 0.176 / 1M tokens262,144Text output · Reasoning · Tool calling
Schematron V2 SmallUSD 0.04 / 1M tokensUSD 0.184 / 1M tokens128,000Text output

Model specifications

Input
text
Output
text
Context window
1,000,000
Maximum output
131,072
Release date
2026-06-30
Attachments
No
Reasoning
Yes
Tool calling
Yes
Temperature setting
Yes
Open weights
No

Frequently asked questions

What is LongCat-2.0 for?

Meituan LongCat-2.0, a reasoning model with tool calling and a 1M-token context window

What inputs and outputs does LongCat-2.0 support?

Recorded inputs: text; outputs: text.

How is LongCat-2.0 priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 0.24 / 1M tokens; Output USD 0.96 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for LongCat-2.0?

Current model records list Context window 1,000,000 tokens; Maximum output 131,072 tokens.

What model parameter does the Quickstart use?

The example uses moduck/meituan/longcat-2-0. This is a cataloged Moduck public or reserved ID; check your account’s available models before calling it.

Can I call this model through the Moduck API now?

This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.