How much does MiniMax M2 cost?

MiniMax M2 is billed pay-as-you-go at $0.45 per 1M input tokens and $1.80 per 1M output tokens. There is no subscription — you only pay for what you use.

What is the context window of MiniMax M2?

MiniMax M2 supports a context window of up to 205K tokens. It can return up to 131K tokens in a single response.

What can MiniMax M2 do?

MiniMax M2 supports Tool calling, Reasoning.

Is MiniMax M2 free to use?

MiniMax M2 is a paid, pay-as-you-go model — no subscription, you are only charged for usage.

How do I use MiniMax M2 via the API?

MiniMax M2 is OpenAI-compatible. Point any OpenAI SDK at https://api.airforce/v1 and pass the model ID minimax-m2 with your Api.Airforce API key.

Who makes MiniMax M2?

MiniMax M2 is MiniMax's chat model, served through the unified Api.Airforce gateway alongside 100+ other models.

MiniMaxPaidOperational

MiniMax M2

API model name: minimax-m2

MiniMax M2 is MiniMax's chat model, served on the Api.Airforce unified API. It has a 205K-token context window. Capabilities include Tool calling, Reasoning. It is priced at $0.45 per million input tokens and $1.80 per million output tokens. Access it through the OpenAI-compatible API with one key, alongside 100+ other models on Api.Airforce.

Get an API key View pricing

Pricing

Input / 1M tokens

$0.45

Output / 1M tokens

$1.80

Specifications

Provider: MiniMax
Type: chat model
Context window: 205K tokens
Max output: 131K tokens
Input: text
Output: text

Capabilities

Tool callingReasoningStreaming

What is MiniMax M2 used for?

Chatbots & assistants — conversational AI, drafting, summarizing and Q&A.
Agents & automation — function calling and tool use for multi-step workflows.
Complex reasoning — math, coding and step-by-step problem solving.
Long-context tasks — process entire documents or codebases in a single prompt.
Real-time experiences — stream tokens for responsive chat and apps.

MiniMax M2 vs. similar models

Model	Intelligence	Context	Input / 1M	Output / 1M
MiniMax M2	—	205K	$0.45	$1.80
MiniMax M2.1	—	—	$0.45	$1.80
MiniMax M2.5	41.9	246K	Free	Free
MiniMax M2.7	49.6	—	$0.45	$1.80

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

MiniMax M2 — frequently asked questions

How much does MiniMax M2 cost?: MiniMax M2 is billed pay-as-you-go at $0.45 per 1M input tokens and $1.80 per 1M output tokens. There is no subscription — you only pay for what you use.
What is the context window of MiniMax M2?: MiniMax M2 supports a context window of up to 205K tokens. It can return up to 131K tokens in a single response.
What can MiniMax M2 do?: MiniMax M2 supports Tool calling, Reasoning.
Is MiniMax M2 free to use?: MiniMax M2 is a paid, pay-as-you-go model — no subscription, you are only charged for usage.
How do I use MiniMax M2 via the API?: MiniMax M2 is OpenAI-compatible. Point any OpenAI SDK at https://api.airforce/v1 and pass the model ID minimax-m2 with your Api.Airforce API key.
Who makes MiniMax M2?: MiniMax M2 is MiniMax's chat model, served through the unified Api.Airforce gateway alongside 100+ other models.

All models·Quickstart·Chat API reference

Use MiniMax M2 via the API

OpenAI-compatible — point any OpenAI SDK at https://api.airforce/v1 and pass minimax-m2 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-m2",
    "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-m2",
    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-m2",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(r.choices[0].message.content);