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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.

At a glance

Input / 1M
$0.30
Output / 1M
$1.20
Context
1.05M
Max output
262K
Intelligence
19.1
Released
Jul 2026
Text inputReasoningTool calling

Pricing

LongCat 2.0 API pricing

Per-token rates, plus what common tasks actually cost.

Input tokensPer 1M tokens$0.30
Output tokensPer 1M tokens$1.20
Cached input (read)Per 1M tokens$0.01
Cache writePer 1M tokensNot available

Chat message

2K in, 500 out

$1.20

per 1,000 requests

Coding task

30K in, 4K out

$13.80

per 1,000 requests

Long document summary

150K in, 2K out

$47.40

per 1,000 requests

Benchmarks

LongCat 2.0 benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

19.1

Coding index

45.3

Agentic index

14

Specs

Context window and capabilities

What it can read, what it can write, and which API features it supports.

Context window
1.05M tokens
Max output
262K tokens
Input types
Text
Output types
Text
Reasoning effort
Not available
Release date
July 20, 2026
  • Tool calling
  • Structured outputs
  • JSON mode
  • Reasoning
  • Temperature
  • Stop sequences
  • Deterministic seed
  • Verbosity control

FAQ

Frequently asked questions

How much does LongCat 2.0 cost?

LongCat 2.0 costs $0.30 per 1M input tokens and $1.20 per 1M output tokens through the API. A typical chat message costs about $1.20 per 1,000 messages.

What is the context window of LongCat 2.0?

LongCat 2.0 accepts up to 1.05M tokens of input and can write up to 262K tokens in a single response.

What is the best alternative to LongCat 2.0?

DeepSeek V4 Flash 0423 from DeepSeek is a strong alternative. It offers: higher intelligence score.

Can I use LongCat 2.0 alongside other models?

Yes. Shortcut Chat sends one prompt to LongCat 2.0 and any other models you pick at the same time, so you can compare answers side by side.

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Try LongCat 2.0 next to every other model.

Use LongCat 2.0 alongside all the other models. Use one at a time, or multiple together. Get the best answer from every AI.