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MiniMax M2.1 Lightning

minimax-m2.1-lightning

Text generation for writing, questions and summaries. Try the verified short-copy example.

Pricing
Input 0.284376 · Output 2.275002 USD / 1M tokens
Output
Chat
Added to catalog
Oct 28, 2026
Input
Examples
*

Enter a message or import TXT / Markdown text. Available attachment formats are shown below.

Default: Chinese cafe copy example
Default: 1024

Estimate the cost first. Generation starts only after confirmation.

OutputFill example
<think>We need to write a Chinese answer: two warm opening lines (文案) for a community coffee shop named Orux Café, include invitation to neighbors to bring books to read. Must be under 80 Chinese characters. So two sentences, maybe each line separate. Need to include Orux Café name. Use warm tone. Under 80 characters total. Ensure it's less than 80 characters, maybe around 50-60 characters. Provide two sentences. The request: "为一家名为 Orux Café 的社区咖啡店写两句温暖的开业文案,包含欢迎邻居带书来阅读。不超过80字。" So we need to output Chinese text, two lines or two sentences, each warm, include invitation to bring books, mention Orux Café, maybe mention community. We need to make sure the total characters is ≤80. Counting Chinese characters includes punctuation? Typically each Chinese character counts as one, punctuation may also count? But to be safe, let's aim <80 characters. We need to output just the two sentences, maybe each on a separate line. Provide no extra explanation. Let's craft: "欢迎来到 Orux Café,温暖的咖啡香气与邻里情在此交汇;请带上你心爱的书,一起在午后阳光下静静阅读吧。" That's one sentence; we need two sentences. So perhaps break into two: first: "欢迎来到 Orux Café,温暖的咖啡香气与邻里情在此交汇。" Second: "欢迎邻居们带上好书,和我们一起在午后阳光下静静阅读。" That's two sentences. Count characters: Sentence 1: "欢迎来到 Orux Café,温暖的咖啡香气与邻里情在此交汇。" Let's count: "欢"(1) "迎"(2) "来"(3) "到"(4) " "(space? but maybe not count as character? It's punctuation space). "O"(5?) Actually Chinese characters plus spaces? We'll just count characters (including Latin letters maybe each counts as a character). Let's count properly. Better to count Chinese characters and punctuation. We'll count characters: - 欢 (1) - 迎 (2) - 来 (3) - 到 (4) - (space) (maybe ignore) - O (5) - r (6) - u (7) - x (8) - (space) - C (9) - a (10) - f (11) - é (12) (maybe treat as one) - , (punctuation, count as 13) - 温 (14) - 暖 (15) - 的 (16) - 咖 (17) - 啡 (18) - 香 (19) - 气 (20) - 与 (21) - 邻 (22) - 里 (23) - 情 (24) - 在 (25) - 此 (26) - 交 (27) - 汇 (28) - 。 (29) So around 29 characters. Sentence 2: "欢迎邻居们带上好书,和我们一起在午后阳光下静静阅读。" Count: - 欢 (1) - 迎 (2) - 邻 (3) - 居 (4) - 们 (5) - 带 (6) - 上 (7) - 好 (8) - 书 (9) - , (10) - 和 (11) - 我 (12) - 们 (13) - 一 (14) - 起 (15) - 在 (16) - 午 (17) - 后 (18) - 阳 (19) - 光 (20) - 下 (21) - 静 (22) - 静 (23) - 阅 (24) - 读 (25) - 。 (26) So about 26 characters. Total = about 55 characters. Under 80. Thus it's good. However we need two warm opening lines. Could include "开业" or "新店开业"? The user asked "开业文案" which is opening announcement. Should incorporate that. Maybe add "新店开业". But we can incorporate that into sentences. E.g., "Orux Café 新店开业,温暖咖啡与邻里情在此交汇" etc. Let's create more polished sentences. Potential final answer: "Orux Café 新店开业,温暖的咖啡香气与邻里情在此交汇;欢迎邻居们带上好书,和我们一起在午后阳光下静静阅读。" That's one sentence? Actually it's two separate sentences separated by ";". But we need two sentences. Could be: "Orux Café 新店开业,温暖的咖啡香气与邻里情在此交汇。欢迎邻居们带上好书,和我们一起在午后阳光下静静阅读。" Yes, that's two sentences. Count characters again. Sentence 1: "Orux Café 新店开业,温暖的咖啡香气与邻里情在此交汇。" Count characters: O(1) r2 u3 x4 (space) C5 a6 f7 é8 (space) 新9 </think>

README

Text generation for writing, questions and summaries. Try the verified short-copy example.

Model capabilities

Input modalities
Text
Output modalities
Text
Context caching
Supported
Tool calling
Not confirmed
Streaming
Not confirmed
Batch inference
Not supported

API protocol support

Chat Completions
Supported
Responses
Not supported
Gemini
Not supported
Anthropic
Not supported

Model limits

Context length
Not confirmed
Maximum output
Not confirmed

Writing, questions and summaries

The Chinese cafe opening copy is a real response from this model. Edit its prompt or select a summary or coding prompt. The latter examples provide reusable inputs without fabricated outputs.

Pricing and usage

Input, output and cache usage are billed separately according to the price table. Context and time-based tiers apply where listed; peak and off-peak times use UTC+8. Review the estimate before calling; final cost depends on returned usage.

Text requests and responses have been verified. Refer to the capabilities section for other input types and tools.

Parameters

Fields accepted in the request body for this model.

messagesmessages
Required

Enter a message or import TXT / Markdown text. Available attachment formats are shown below.

max_tokensinteger
Optional
Range: ≥ 1Default: 1024
Advanced
temperaturenumber
Optional

Adjust response randomness. Tune either temperature or top_p.

Range: 0 – 2
top_pnumber
Optional
Range: 0 – 1
response_formatobject
Optional

For JSON output, describe the expected JSON structure in your prompt.

Values: Text / JSON object
toolsobject
Optional
tool_choiceobject
Optional

Select a function, for example {"type":"function","function":{"name":"lookup"}}.

Pricing

Pricing

USD / 1M tokens

Standard

Input0.284376
Output2.275002
Cache read0.0284385
Cache write (5 min)0.35547

Bill actual quantity

Minimum per call: 0 USD · Rounding is applied once to the total cost

Only listed usage types are supported for automatic billing

Pricing follows the selected specifications

Prices are billed per unit consumed with no monthly minimum. See billing guide for USD estimates and actual usage charges.

POST https://orux.top/api/v1/chat/completions

Frequently asked questions

About MiniMax M2.1 Lightning pricing, capabilities and API access on Orux AI.

Does selecting an example incur a charge?

No. Selecting an example only fills the form. A model call starts after you confirm generation or send a request.

What is MiniMax M2.1 Lightning?

MiniMax M2.1 Lightning: Text generation for writing, questions and summaries. Try the verified short-copy example.

How much does MiniMax M2.1 Lightning cost on Orux AI?

Input: 56.8752 Credits; output: 455.0004 Credits, per 1M tokens. See the pricing section on this page for MiniMax M2.1 Lightning pricing and applicable conditions. Charges depend on the selected parameters and recorded usage.

What inputs and outputs does MiniMax M2.1 Lightning support?

MiniMax M2.1 Lightning accepts Text and returns Text.

Where can I access the MiniMax M2.1 Lightning API?

Create an Orux AI API key and send an authenticated POST request to https://orux.top/api/v1/chat/completions, using minimax-m2.1-lightning as the model identifier. Try the playground on this page and use the API example for the exact request format.