Meituan: LongCat 2.0

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...

Modalities

In / out price

$0.3 / $1.2 per 1M

Context

1.05M

Released

Jul 20, 2026

Why use LongCat 2.0

Step-by-step reasoning mode
Tool and function calling (agent-ready)
Very long context: whole books or codebases in one prompt

Pricing

Input	$0.3 / 1M tokens
Output	$1.2 / 1M tokens
Cached input (read)	$0.006 / 1M tokens

List prices via OpenRouter, checked daily. Real cost depends on the provider and on reasoning tokens.

How it ranks

Intelligence index19.1

Coding index45.3

Agentic index14

Source: Artificial Analysis (artificialanalysis.ai) via OpenRouter (openrouter.ai/rankings).

Cost calculator

Pick a task, set how often you run it, and compare what it costs on each model.

TaskInput tokens≈ 602 wordsOutput tokens≈ 1,504 wordsRuns per month

Input served from cache: 0%Repeated prompts (same instructions or document) are billed at the cheaper cache-read price where the model supports it.

Model	Per run	Per month	Per 1,000 runs
Meituan: LongCat 2.0	$0.0026	$2.64	$2.64

Estimates from list prices via OpenRouter; real bills vary by provider and reasoning tokens.

Will it fit? Context window simulator

Each square is about one page (500 words). Colored squares are your content; grey squares are free space in the model's context window.

Your content

Novel (90,000 words)

Total: about 120,000 tokens (≈ 90,226 words). Token counts are estimates.

Models

Zoom (square size): 6pxZoom out to see a whole million-token window at once.

Meituan: LongCat 2.0

1,048,756 tokens ≈ 1,578 pages

Fits: uses 11% of the window (room for 8× this much).

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