How much does MiniMax M3 cost?

MiniMax M3 is billed pay-as-you-go at $0.33 per 1M input tokens and $1.32 per 1M output tokens. There is no subscription — you only pay for what you use.

What can MiniMax M3 do?

MiniMax M3 supports Vision, Tool calling.

Is MiniMax M3 free to use?

MiniMax M3 is a paid, pay-as-you-go model — no subscription, you are only charged for usage.

How do I use MiniMax M3 via the API?

MiniMax M3 is OpenAI-compatible. Point any OpenAI SDK at https://api.airforce/v1 and pass the model ID minimax-m3 with your Api.Airforce API key.

Who makes MiniMax M3?

MiniMax M3 is MiniMax's chat model, served through the unified Api.Airforce gateway alongside 100+ other models.

MiniMaxPaidOperational

MiniMax M3

API model name: minimax-m3

MiniMax M3 is MiniMax's chat model, served on the Api.Airforce unified API. Capabilities include Vision, Tool calling. It is priced at $0.33 per million input tokens and $1.32 per million output tokens. That is below the provider's $0.30 official input rate. Access it through the OpenAI-compatible API with one key, alongside 100+ other models on Api.Airforce.

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Pricing

Input / 1M tokens

$0.33

Output / 1M tokens

$1.32

Cache read / 1M tokens

$0.07

Cache write / 1M tokens

$0.41

Official input rate

$0.30

Official output rate

$1.20

Api.Airforce price vs. the provider's official rate.

Specifications

Provider: MiniMax
Type: chat model

Capabilities

VisionTool calling

Benchmarks

Independent evaluations and measured speed from Artificial Analysis.

Intelligence Index

29.2/100

Coding Index

58.6/100

GPQA Diamond93%

Humanity's Last Exam39%

SciCode47%

τ²-bench89%

τ-bench Banking15%

Terminal-Bench Hard42%

Output speed145.9 tok/s

Time to first token0.85 s

MiniMax-M3

Source: Benchmark data by Artificial Analysis (artificialanalysis.ai)

What is MiniMax M3 used for?

Chatbots & assistants — conversational AI, drafting, summarizing and Q&A.
Image understanding — analyze photos, screenshots, charts and scanned documents.
Agents & automation — function calling and tool use for multi-step workflows.

MiniMax M3 vs. similar models

Model	Intelligence	Context	Input / 1M	Output / 1M
MiniMax M3	29.2	—	$0.33	$1.32
MiniMax M2.1 Lightning	—	—	$0.27	$2.20
MiniMax M2.5 Lightning	—	—	$0.27	$2.20
MiniMax M2.7 Highspeed	—	—	$0.55	$2.20

Prices are Api.Airforce pay-as-you-go rates per 1M tokens. Context is the maximum input length.

MiniMax M3 — frequently asked questions

How much does MiniMax M3 cost?: MiniMax M3 is billed pay-as-you-go at $0.33 per 1M input tokens and $1.32 per 1M output tokens. There is no subscription — you only pay for what you use.
What can MiniMax M3 do?: MiniMax M3 supports Vision, Tool calling.
Is MiniMax M3 free to use?: MiniMax M3 is a paid, pay-as-you-go model — no subscription, you are only charged for usage.
How do I use MiniMax M3 via the API?: MiniMax M3 is OpenAI-compatible. Point any OpenAI SDK at https://api.airforce/v1 and pass the model ID minimax-m3 with your Api.Airforce API key.
Who makes MiniMax M3?: MiniMax M3 is MiniMax's chat model, served through the unified Api.Airforce gateway alongside 100+ other models.

All models·Quickstart·Chat API reference

Use MiniMax M3 via the API

OpenAI-compatible — point any OpenAI SDK at https://api.airforce/v1 and pass minimax-m3 as the model.

cURL

curl https://api.airforce/v1/chat/completions \
  -H "Authorization: Bearer $AIRFORCE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "minimax-m3",
    "messages": [{ "role": "user", "content": "Hello!" }]
  }'

Python

from openai import OpenAI
client = OpenAI(base_url="https://api.airforce/v1", api_key="$AIRFORCE_API_KEY")
r = client.chat.completions.create(
    model="minimax-m3",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(r.choices[0].message.content)

JavaScript

import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.airforce/v1", apiKey: process.env.AIRFORCE_API_KEY });
const r = await client.chat.completions.create({
  model: "minimax-m3",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(r.choices[0].message.content);