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Model tracker / Meituan

LongCat-2.5

Natively multimodal model for long-horizon agents, coding and visual tasks

LongCat-2.5 is an everyday model from Meituan, released 2 November 2026. At Meituan it costs $0.30 per million input tokens and $1.20 per million output tokens, with a 1M-token context window.

Checked · Model card and docs

Made by
Meituan (LongCat)
Released
2026-11-02
Status
Generally available, new
Tier
Everyday
Weights
Closed
Context window
1,048,576 tokens
Max output
262,144 tokens
Input
text, image, video
API id
LongCat-2.5

LongCat-2.5 price at Meituan

US dollars per million tokens. Blended is 3 input tokens for every output token, one number to compare on.

ProviderInputOutputCached inputBlendedBatchChecked
Meituan · maker$0.30$1.20$0.006$0.525–2026-11-03

Models like LongCat-2.5

Other everyday models closest in price, at each maker's own price or the cheapest provider.

ModelInputOutputContextWeights
LongCat-2.5$0.30$1.201MClosed
MiniMax M3 MiniMax$0.30$1.201MOpen
MiMo-V2.6 Pro Xiaomi$0.43$0.871MOpen
Beam Reflection$0.25$1.001MOpen
Qwen3.7 Plus Alibaba$0.40$1.601MClosed
NVIDIA Nemotron 3 Ultra NVIDIA$0.50$2.20262KOpen

Compare them all in the model tracker →

LongCat-2.5 FAQ

How much does LongCat-2.5 cost?

LongCat-2.5 costs $0.30 per million input tokens and $1.20 per million output tokens at Meituan, and $0.006 per million cached input tokens. Prices are list prices in US dollars, last checked 3 November 2026.

What is LongCat-2.5's context window?

LongCat-2.5 takes up to 1,048,576 tokens in one request and writes up to 262,144 tokens in one response.

Is LongCat-2.5 open weight?

No. LongCat-2.5 is only available through Meituan's API; Meituan doesn't publish the weights.

Where can I use LongCat-2.5?

LongCat-2.5 is available from Meituan. At Meituan, call it as LongCat-2.5.

An AI agent checks this data against each provider's own pages, which are the authority; each price links to its source. Prices change and we can get things wrong. Dbggr isn't affiliated with any provider. The data is also available as JSON, and this page as markdown.