MiniMax

MiniMax M2.5 Lightning

minimax-m2.5-lightning

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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

Your message*

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

Default: Chinese cafe copy example

Response token limit

Default: 1024

Estimate the cost first. Generation starts only after confirmation.

OutputFill example

<think> The user is Chinese: "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。" They want two warm opening copy lines for a community coffee shop named Orux Café, including a welcome for neighbors to bring books to read. The copy must not exceed 80 Chinese characters. Thus produce two lines, each perhaps separate, but overall total characters should be <=80. We must count Chinese characters (including punctuation). Provide two lines. They want warm, inviting, mention "欢迎邻居带书来阅读". Possibly mention "Orux Café" and "社区咖啡店". Provide warm phrasing. Potential text: "欢迎邻里相聚于 Orux Café，品一口咖啡，聊一段时光。欢迎大家带上心爱的书，在温馨角落共享阅读的宁静。" Let's count characters. "欢迎邻里相聚于 Orux Café，品一口咖啡，聊一段时光。欢迎大家带上心爱的书，在温馨角落共享阅读的宁静。" Let's count: "欢"1 "迎"2 "邻"3 "里"4 "相"5 "聚"6 "于"7 " " (space? Probably ignore). "O"8 "r"9 "u"10 "x"11 " " (ignore) "C"12 "a"13 "f"14 "é"15 "，"? punctuation counts? Usually Chinese characters counting includes punctuation but for simplicity we can count total characters including letters and punctuation. Let's count precisely: Line: "欢迎邻里相聚于 Orux Café，品一口咖啡，聊一段时光。欢迎大家带上心爱的书，在温馨角落共享阅读的宁静。" Count each character: 1 欢 2 迎 3 邻 4 里 5 相 6 聚 7 于 8 (space?) Probably not count. We'll ignore spaces. 9 O 10 r 11 u 12 x 13 (space) 14 C 15 a 16 f 17 é 18 ， 19 品 20 一 21 口 22 咖 23 啡 24 ， 25 聊 26 一 27 段 28 时 29 光 30 。 31 欢 32 迎 33 大 34 家 35 带 36 上 37 心 38 爱 39 的 40 书 41 ， 42 在 43 温 44 馨 45 角 46 落 47 共 48 享 49 阅 50 读 51 的 52 宁 53 静 54 。 Counting: There are 54 characters (excluding spaces). That's under 80. Good. But they want two sentences; we have one combined line with two sentences. Actually we have two sentences separated by a period (full stop) "。" So that's okay: "欢迎邻里相聚于 Orux Café，品一口咖啡，聊一段时光。欢迎大家带上心爱的书，在温馨角落共享阅读的宁静。" That's two sentences. Good. But we can possibly improve wording. Ensure it's warm. Also mention "社区咖啡店". Could be "温馨社区咖啡店". "Orux Café 温暖开业，欢迎邻里相聚，品咖啡、聊生活。" Then second sentence: "也欢迎大家带上好书，在这片宁静角落共享阅读时光。" Let's count characters. First sentence: "Orux Café 温暖开业，欢迎邻里相聚，品咖啡、聊生活。" Count characters. "O"1 "r"2 "u"3 "x"4 " "(space?) ignore. "C"5 "a"6 "f"7 "é"8 " " ignore. "温"9 "暖"10 "开"11 "业"12 "，"13 "欢"14 "迎"15 "邻"16 "里"17 "相"18 "聚"19 "，"20 "品"21 "咖"22 "啡"23 "、"24 "聊"25 "生"26 "活"27 "。"28 Second sentence: "也欢迎大家带上好书，在这片宁静角落共享阅读时光。" Count: "也"1 "欢"2 "迎"3 "大"4 "家"5 "带"6 "上"7 "好"8 "书"9 "，"10 "在"11 "这"12 "片"13 "宁"14 "静"15 "角"16 "落"17 "共"18 "享"19 "阅"20 "读"21 "时"22 "光"23 "。"24 Total characters: 28 + 24 = 52 characters. Under 80. Good. But they requested "两句温暖的开业文案" meaning two warm opening copy lines. They could be two separate sentences, each maybe separate lines. I think we can give two separate lines each separated by newline. Thus answer: "Orux Café 温暖开业，欢迎邻里相聚 </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: Not 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

USD / 1M tokens

Standard

Input0.284376

Output2.275002

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.

Code

View docs →

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

Code examples

Request body

curl 'https://orux.top/api/v1/chat/completions' \
  -H 'Authorization: Bearer YOUR_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
  "messages": [
    {
      "role": "user",
      "content": "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。"
    }
  ],
  "max_tokens": 1024,
  "model": "minimax-m2.5-lightning"
}'

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Code examples

Response examples

{
  "id": "chatcmpl-...",
  "choices": [
    { "index": 0, "message": { "role": "assistant", "content": "Hello! How can I help you today?" } }
  ],
  "usage": { "prompt_tokens": 12, "completion_tokens": 9, "total_tokens": 21 }
}

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Frequently asked questions

About MiniMax M2.5 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 M2.5 Lightning?

MiniMax M2.5 Lightning: Text generation for writing, questions and summaries. Try the verified short-copy example.

How much does MiniMax M2.5 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 M2.5 Lightning pricing and applicable conditions. Charges depend on the selected parameters and recorded usage.

What inputs and outputs does MiniMax M2.5 Lightning support?

MiniMax M2.5 Lightning accepts Text and returns Text.

Where can I access the MiniMax M2.5 Lightning API?

Create an Orux AI API key and send an authenticated POST request to https://orux.top/api/v1/chat/completions, using minimax-m2.5-lightning as the model identifier. Try the playground on this page and use the API example for the exact request format.