MiniMax M2
MiniMax · Text · Context 1M · max output 205K tokens
minimax-m2
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Pricing
| MarkasAI | Vendor list price | |
|---|---|---|
| Input | Rp 4.587 | Rp 5.367 |
| Output | Rp 18.345 | Rp 21.468 |
| Cache | Rp 459 | |
| Cache write | Rp 5.733 |
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-m2- Provider
- MiniMax
- Type
- Text
- Endpoint
POST /v1/chat/completions- Context window
- 1,000,000 tokens
- Output limit per request
- 205,000 tokens
About this model
MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,...
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-m2",
"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-m2",
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-m2",
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