MiniMax M3
MiniMax · Text · Context 200K · max output 512K tokens
minimax-m3
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Pricing
| Input | Rp 5.997 |
|---|---|
| Output | Rp 23.985 |
| Cache | Rp 1.200 |
| Cache write | Rp 5.997 |
MarkasAI sale prices in Rupiah, read from the same catalog as GET /v1/models. Prices can change and apply to later requests.
Specifications
- Model ID
minimax-m3- Provider
- MiniMax
- Type
- Text
- Endpoint
POST /v1/chat/completions- Context window
- 200,000 tokens
- Output limit per request
- 512,000 tokens
About this model
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
Quoted from the provider's public catalog, in English.
Call example
curl https://api.markas.ai.id/v1/chat/completions \
-H "Authorization: Bearer $MARKASAI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "minimax-m3",
"messages": [{"role": "user", "content": "What is an API?"}],
"max_tokens": 300
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://api.markas.ai.id/v1", api_key=os.environ["MARKASAI_API_KEY"])
resp = client.chat.completions.create(
model="minimax-m3",
messages=[{"role": "user", "content": "What is an API?"}],
max_tokens=300,
)
print(resp.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.markas.ai.id/v1", apiKey: process.env.MARKASAI_API_KEY });
const resp = await client.chat.completions.create({
model: "minimax-m3",
messages: [{ role: "user", content: "What is an API?" }],
max_tokens: 300,
});
console.log(resp.choices[0].message.content);Keep your API key in the MARKASAI_API_KEY environment variable. Read the endpoint docs