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MiniMax

MiniMax M2.1

minimax-m2.1

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

Pricing

/ 1M tokens

Input
56.8752 Credits≈ $0.2844
Output
227.5002 Credits≈ $1.1375
Cache read
5.6877 Credits≈ $0.0284
Cache write (5 min)
71.094 Credits≈ $0.3555

Pricing follows the selected specifications

Output
Chat
Added to catalog
Oct 30, 2026
Input
Examples
*
Default: Chinese cafe copy example
Default: 1024

Estimate the cost first. Generation starts only after confirmation.

OutputFill example
<think>The user asks: "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。" Chinese language. The request: "Write two warm opening slogans for a community coffee shop named Orux Café, include a welcome for neighbors to bring books for reading. No more than 80 characters." So we need to produce two lines, each presumably short, warm, welcoming, mention bringing books. Combined total characters no more than 80 (including punctuation?). The user is Chinese; we respond in Chinese. So produce something like: "温馨开启,Orux Café 欢迎邻里携一本好书,共品咖啡香。" That's maybe ~30 characters. Then second line: "在这里,书页与咖啡相遇,邻里相伴,温暖常在。" That is maybe ~30. Combined <80. Let's count characters. First line: "温馨开启,Orux Café 欢迎邻里携一本好书,共品咖啡香。" Let's count characters: We'll count each Chinese character and punctuation as a character. - 温 (1) - 馨 (2) - 开 (3) - 启 (4) - , (5) - O (6) - r (7) - u (8) - x (9) - (maybe space? but we could avoid spaces). Let's avoid spaces. Use "OruxCafé". Actually Chinese often has no spaces. So "OruxCafé". Let's count that as characters: O (6), r (7), u (8), x (9), C (10), a (11), f (12), é (13). Then a space? we avoid. Then "欢迎邻里携一本好书,共品咖啡香。" Count: - 欢 (14) - 迎 (15) - 邻 (16) - 里 (17) - 携 (18) - 一 (19) - 本 (20) - 好 (21) - 书 (22) - , (23) - 共 (24) - 品 (25) - 咖 (26) - 啡 (27) - 香 (28) - 。 (29) So first line 29 characters (including punctuation). Good. Second line: "在这里,书页与咖啡相遇,邻里相伴,温暖常在。" Let's count: - 在 (1) - 这 (2) - 里 (3) - , (4) - 书 (5) - 页 (6) - 与 (7) - 咖 (8) - 啡 (9) - 相 (10) - 遇 (11) - , (12) - 邻 (13) - 里 (14) - 相 (15) - 伴 (16) - , (17) - 温 (18) - 暖 (19) - 常 (20) - 在 (21) - 。 (22) So 22 characters. Combined total = 29 + 22 = 51 characters, well under 80. Thus answer can be those two sentences. But the request says "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 have two lines. The answer must be in Chinese. We should ensure it's warm and inviting. Perhaps we could adjust to be more vivid. Potential line1: "温馨启幕,Orux Café 欢迎邻里携一本好书,共享咖啡时光。" Let's count. "温馨启幕,OruxCafé 欢迎邻里携一本好书,共享咖啡时光。" Count: - 温 (1) - 馨 (2) - 启 (3) - 幕 (4) - , (5) - O (6) - r (7) - u (8) - x (9) - C (10) - a (11) - f (12) - é (13) - 欢迎 (need to check). Actually we have a space after Café? We could omit space. Let's do "OruxCafé". So after é we have " " (maybe not). Then "欢" (14) - 迎 (15) - 邻 (16) - 里 (17) - 携 (18) - 一 (19) - 本 (20) - 好 (21) - 书 (22) - , (23) - 共 (24) - 享 (25) - 咖 (26) - 啡 (27) - 时 (28) - 光 (29) - 。 (30) So 30 characters. Second line: "在这里,书页轻翻,咖啡香气交织,邻里情更浓。" Count: - 在 (1) - 这 (2) - 里 (3) - , (4) - 书 (5) - 页 (6) - 轻 (7) - 翻 (8) - , (9) - 咖 (10) - </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

Parameters

Fields accepted in the request body for this model.

messagesmessages
Required

Import TXT/Markdown (1 MB per file). PDF, when available, is also limited to 1 MB; see the image area for its limit. Up to 3 attachments.

max_tokensinteger
Optional
Range: ≥ 1Default: 1024

Pricing

Pricing

Credits / 1M tokens

Standard

Input56.8752≈ $0.2844
Output227.5002≈ $1.1375
Cache read5.6877≈ $0.0284
Cache write (5 min)71.094≈ $0.3555

Bill actual quantity

Minimum per call: 0 Credits · 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 Credits estimates and actual usage charges.

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

Frequently asked questions

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

What is MiniMax M2.1?

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

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

See the pricing section on this page for MiniMax M2.1 pricing and applicable conditions. Charges depend on the selected parameters and recorded usage.

What inputs and outputs does MiniMax M2.1 support?

MiniMax M2.1 accepts Text and returns Text.

Where can I access the MiniMax M2.1 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 as the model identifier. Try the playground on this page and use the API example for the exact request format.