LongCat 2.0 API

LongCat-2.0 is Meituan's trillion-parameter agentic MoE model with a 1M-token context window and up to 128K output tokens. It supports native tool calling and multi-step reasoning.

Modalities: TextText
In / Out price: $0.75/$2.95per 1M
Context window: 1M tokens
Released: Jun 30, 2026

LongCat 2.0 overview

LongCat 2.0 by Meituan

LongCat 2.0 API combines long-context reasoning, native tool use, and multi-step agentic workflows with prompt caching support.

LongCat 2.0 specs

Model ID: meituan/longcat-2.0
Developer: Meituan
Context window: 1,000,000 tokens
Max output: 128,000 tokens
Input: Text
Output: Text
API: OpenAI-compatible, base URL https://api.aimlapi.com/v1

LongCat 2.0 is Meituan's trillion-parameter Mixture-of-Experts (MoE) model built for long-context agentic tasks. It features a 1M-token context window and supports up to 128K output tokens, making it one of the most capable models for document-heavy and multi-step workflows.

The model supports native tool calling, deep reasoning mode (thinking), and prompt caching for cost-efficient high-volume workloads.

Long-context document processing
Pass full contracts, research papers, or codebases in a single prompt. The 1M context window eliminates chunking and cross-reference issues.

Agentic workflows and tool calling
With native function calling and multi-step reasoning, LongCat 2.0 can plan, call tools, process results, and iterate without losing track of the original goal.

Use cases

Code understanding, repository-level edits, automated task execution, and agentic workflows are explicitly described as strengths of LongCat-2.0.

It is also documented as suited to whole-repository reasoning and other coding-agent tasks that involve large codebases and cross-file dependencies.

The model is described as a fit for multi-step terminal work, where it can run commands, read errors, and retry until a task passes.

It is additionally presented as useful for research and analysis workflows, including autonomous searching, cross-referencing, structured review generation, and business insight analysis.

Capabilities

Reasoning
Function calling
Structured outputs

LongCat 2.0 benchmarks by Artificial Analysis

See how LongCat 2.0 compares in generation speed and latency. Data retrieved Nov 3, 2026.

Speed#142 / 21975.8Output tokens / second Latency#168 / 2162.73Seconds to first token Humanity's Last Exam#79 / 45833.7%Score GPQA Diamond#150 / 43978%Score

Speed

Output tokens / second

Benchmark results

Compare 20 models available on AI/ML API across 5 independent benchmarks.

Humanity's Last Exam

Expert-written questions across academic subjects.

LongCat 2.0 API pricing

LongCat 2.0 pricing in US dollars
Usage	Price	Unit
Input	$0.75	1M tokens
Output	$2.95	1M tokens
Cached input	$0.015	1M tokens

Prices from the AI/ML API price list, checked on Nov 4, 2026.

LongCat 2.0 vs other models: token prices

AI/ML API input and output rates for 5 models, per million tokens.

AI/ML API model prices in USD per million tokens
Model	Input	Output
LongCat 2.0	$0.75	$2.95
Dola-Seed 2.0 Pro	$0.5	$3
Dola-Seed 2.0 Code	$0.5	$3
Dola-Seed-2.0 Code	$0.5	$3
Gemini 3 Flash	$0.5	$3

How to use the LongCat 2.0 API

View docs

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key

export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"

2Make your first request

curl 'https://api.aimlapi.com/v1/chat/completions' \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "meituan/longcat-2.0",
  "messages": [
    {
      "role": "user",
      "content": "Write a haiku about the ocean."
    }
  ]
}'

import os
import requests

headers = {
    "Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
    "Content-Type": "application/json",
}
payload = {
    "model": "meituan/longcat-2.0",
    "messages": [
        {
            "role": "user",
            "content": "Write a haiku about the ocean."
        }
    ]
}

response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())

const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "meituan/longcat-2.0",
    "messages": [
      {
        "role": "user",
        "content": "Write a haiku about the ocean."
      }
    ]
  }),
});

if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());

All posts

LongCat 2.0 FAQ

What is the context window of LongCat 2.0?

LongCat 2.0 has a 1,000,000 tokens context window and can return up to 128,000 tokens.

What inputs and outputs does LongCat 2.0 support?

LongCat 2.0 takes text as input and returns text.

What is the model ID for LongCat 2.0?

Use meituan/longcat-2.0 as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.

How much does LongCat 2.0 cost?

LongCat 2.0 costs $0.75 input and $2.95 output per 1M tokens on AI/ML API, billed as you go with no subscription.

Does LongCat 2.0 support streaming?

Yes, LongCat 2.0 can stream responses as they are generated.

Who created LongCat 2.0?

LongCat 2.0 was built by Meituan.

Start building with LongCat 2.0

Get API key

LongCat 2.0 API

meituan/longcat-2.0

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key

export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"

2Make your first request

curl 'https://api.aimlapi.com/v1/chat/completions' \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "meituan/longcat-2.0",
  "messages": [
    {
      "role": "user",
      "content": "Write a haiku about the ocean."
    }
  ]
}'

import os
import requests

headers = {
    "Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
    "Content-Type": "application/json",
}
payload = {
    "model": "meituan/longcat-2.0",
    "messages": [
        {
            "role": "user",
            "content": "Write a haiku about the ocean."
        }
    ]
}

response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())

const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "meituan/longcat-2.0",
    "messages": [
      {
        "role": "user",
        "content": "Write a haiku about the ocean."
      }
    ]
  }),
});

if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());

Docs for AI agents Plain-text index · llms.txt API documentation API reference and examples

Talk to our sales team

Thanks for reaching out

LongCat 2.0 API

LongCat 2.0 overview

LongCat 2.0 by Meituan

LongCat 2.0 specs

Use cases

Capabilities

LongCat 2.0 benchmarks by Artificial Analysis

Speed

Benchmark results

Humanity's Last Exam

GPQA Diamond

Terminal-Bench 4.0

AA-LCR

SciCode

LongCat 2.0 API pricing

LongCat 2.0 vs other models: token prices

How to use the LongCat 2.0 API

Build with your agent

1Get your API key

2Make your first request

Related articles

LongCat 2.0 FAQ

Start building with LongCat 2.0

LongCat 2.0 API

Build with your agent

1Get your API key

2Make your first request

LongCat 2.0 API

LongCat 2.0 overview

LongCat 2.0 by Meituan

LongCat 2.0 specs

Use cases

Capabilities

Speed

Benchmark results

Humanity's Last Exam

GPQA Diamond

Terminal-Bench 4.0

AA-LCR

SciCode

LongCat 2.0 API pricing

LongCat 2.0 vs other models: token prices

How to use the LongCat 2.0 API

Build with your agent

1Get your API key

2Make your first request

Models similar to LongCat 2.0

Gemini 3.7 Flash

Gemini 3.8 Flash

Aion-3.0-Mini

Aion-3.5-Mini

Hermes 3 70B Instruct

Llama 3.3 70B Instruct Turbo

Related articles

Best AI Models for Agentic Workflows and Tool Use in 2026

Best LLMs for Long-Context & Multimodal Tasks in 2026

LongCat 2.0 FAQ

Start building with LongCat 2.0