Meituan: LongCat 2.0

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meituan/longcat-2.0

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...

At a glance

Context window: 1Mtokens
Max output: 262Ktokens
Knowledge to: —
Released: 2026

Capabilities

CapabilitiesReasoningTools

InputText

OutputText

ReasoningSupported

Benchmarks

Intelligence index: 20
Coding index: 45
Agentic index: 16

Source: Artificial Analysis · as of Sep 16, 2026

Performance

Reference uptime

100%

Aug 18Sep 16

Median latency

1,958 ms

Aug 18Sep 16

Throughput

33 tok/s

Aug 18Sep 16

IranRouter uptime comes from our own automated probes; the reference figures are daily measurements of this model's upstream routes. Each card shows a 30-day average, and a day without data stays empty.

Supported parameters

frequency_penaltyinclude_reasoninglogit_biasmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyseedstoptemperaturetool_choicetoolstop_ktop_p

Parameters this model accepts; anything else is ignored.

Quick start

from openai import OpenAI

client = OpenAI(
    api_key="ir-...",
    base_url="https://iranrouter.com/v1",
)

resp = client.chat.completions.create(
    model="meituan/longcat-2.0",
    messages=[{"role": "user", "content": "سلام!"}],
)
print(resp.choices[0].message.content)

Only base_url and the key change; the rest of your code stays as it is.