MiniMax M2.7 API

About MiniMax M2.7

MiniMax M2.7 is a general-purpose reasoning chat model with interleaved thinking, function calling, and prompt caching.

Supports streaming, interleaved thinking, function calling, tool_choice, max_tokens, stop, temperature, top_p, and implicit prompt cache reads. Thinking tokens are billed as output tokens.

MiniMax M2.7 specs

Model ID

minimax-m2-7

Provider

MiniMax

Category

Text Generation

Context window

200K tokens

Max output

32,768 tokens

Input

text

Output

text

Region

Singapore

Endpoints

POST /v1/chat/completions
POST /v1/responses
POST /v1/messages

MiniMax M2.7 API pricingSave up to 50%

Live pay-as-you-go rates from the EmpirioLabs catalog. You are billed only for what you use, with no monthly minimum.

How to call the MiniMax M2.7 API

MiniMax M2.7 serves the OpenAI-compatible Chat Completions API. Point any OpenAI SDK at https://api.empiriolabs.ai/v1 with your EmpirioLabs API key and use the model id minimax-m2-7. Get an API key from the EmpirioLabs dashboard.

curl https://api.empiriolabs.ai/v1/chat/completions \
  -H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "minimax-m2-7",
    "messages": [
      {"role": "user", "content": "Write a haiku about the ocean."}
    ]
  }'

from openai import OpenAI

client = OpenAI(
    base_url="https://api.empiriolabs.ai/v1",
    api_key="YOUR_EMPIRIOLABS_API_KEY",
)

response = client.chat.completions.create(
    model="minimax-m2-7",
    messages=[{"role": "user", "content": "Write a haiku about the ocean."}],
)
print(response.choices[0].message.content)

MiniMax M2.7 API parameters

Request parameters supported by the MiniMax M2.7 API on EmpirioLabs. Defaults apply when a field is omitted.

Good to know

Supports interleaved thinking, function calling, and implicit prompt cache reads. Thinking is always on and billed as output tokens.

MiniMax M2.7 API: common questions

How much does the MiniMax M2.7 API cost?

On EmpirioLabs, MiniMax M2.7 is billed pay as you go: Input $0.15 (was $0.30) per 1M prompt tokens; Output $0.60 (was $1.20) per 1M generated tokens; Implicit cache read $0.03 (was $0.06) per 1M cached input tokens. The live rate card on this page always matches what the API charges.

What is the context window of MiniMax M2.7?

MiniMax M2.7 supports a 200K-token context window with up to 32,768 output tokens per response.

Is the MiniMax M2.7 API OpenAI-compatible?

Yes. MiniMax M2.7 serves the OpenAI-compatible Chat Completions API, so existing OpenAI SDKs work by pointing base_url at https://api.empiriolabs.ai/v1 and setting the model id to minimax-m2-7.

Can I try MiniMax M2.7 in the browser before integrating?

Yes. The EmpirioLabs playground runs MiniMax M2.7 in the browser with the same parameters the API exposes, so you can test prompts before writing code.

How do I get a MiniMax M2.7 API key?

Create an EmpirioLabs account, then generate a key under API Keys in the dashboard. Billing is pay-as-you-go credits, so you only pay for the requests you make.