Text model

Minimax M2.7

minimax-m2.7

minimax-m2.7 is available at minimax-m2.7. Below: price, specifications and request examples.

Price

model value	Input, per 1M	Output, per 1M	Cache, per 1M
minimax-m2.7	$0.0207	$0.0826	$0.0021

Prices per 1M tokens. You pay for what you use.

Specifications

Context window: 200,000 tokens
Max output tokens: 16,000 tokens
Image input: no
Reasoning: no
Anthropic format (/v1/messages): yes
Data in Russia: no

Request example

Create a key in the dashboard. Streaming works too: add "stream": true.

curl

curl https://whitelabel-demo.getvibeapi.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "minimax-m2.7", "messages": [{"role": "user", "content": "Hello!"}]}'

Python

from openai import OpenAI

client = OpenAI(base_url="https://whitelabel-demo.getvibeapi.com/v1", api_key="YOUR_KEY")
reply = client.chat.completions.create(
    model="minimax-m2.7",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(reply.choices[0].message.content)

Questions and answers

How much does minimax-m2.7 cost?

Input is $0.0207 per 1M tokens, output $0.0826 per 1M. You are charged for the tokens actually used, so a single request costs a fraction of a cent. Your balance and spending are in the dashboard.

What is the context window of minimax-m2.7?

Up to 200,000 input tokens and up to 16,000 output tokens.

How do I call minimax-m2.7?

Set the base URL to https://whitelabel-demo.getvibeapi.com/v1 and use "minimax-m2.7" in the model field of any OpenAI-compatible client. curl and Python examples are on this page.

Is cached input cheaper?

Repeated context is billed at the cache price — $0.0021 per 1M tokens instead of $0.0207.