MiniMax M2.7 Highspeed API

High-speed M2.7 variant tuned for fast inference with strong general-purpose performance with strong agentic capabilities.

MiniMaxText Generation200K contextSingaporeProprietary Endpoint

About MiniMax M2.7 Highspeed

High-speed M2.7 variant tuned for fast inference with strong general-purpose performance with strong agentic capabilities.

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MiniMax M2.7 Highspeed specs

Model ID
minimax-m2-7-highspeed
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 Highspeed 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.

Type
Spec
Rate
Input
per 1M prompt tokens
$0.60$0.30
Output
per 1M generated tokens
$2.40$1.20
Implicit cache read
per 1M cached input tokens
$0.06$0.03
Web Search (Linkup)
per call when invoked
$0.013
Compare on the full pricing page

How to call the MiniMax M2.7 Highspeed API

MiniMax M2.7 Highspeed 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-highspeed. Get an API key from the EmpirioLabs dashboard.

cURL
curl https://api.empiriolabs.ai/v1/chat/completions \
  -H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "minimax-m2-7-highspeed",
    "messages": [
      {"role": "user", "content": "Write a haiku about the ocean."}
    ]
  }'
Python (OpenAI SDK)
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-highspeed",
    messages=[{"role": "user", "content": "Write a haiku about the ocean."}],
)
print(response.choices[0].message.content)
Full MiniMax M2.7 Highspeed API reference

MiniMax M2.7 Highspeed API parameters

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

ParameterTypeDefaultRange / valuesDescription
temperaturenumber10 to 2Sampling temperature. 0 = deterministic, 2 = maximum randomness.
top_pnumber0.950 to 1Nucleus sampling probability mass. Lower = more focused.
max_tokensnumber40961 to 131072Maximum tokens in the response.
stopstring--Up to 4 strings where the model will stop generating further tokens.
toolsarray--OpenAI-style function-calling tool definitions. Each entry has name, description, parameters.
tool_choicestring--auto | none | required | {type:function, function:{name:"..."}}. Controls when the model must call a tool.
web_search_linkupbooleanfalse-Optional web search powered by Linkup. When enabled, recent web sources are retrieved using your latest user message as the query and provided to the model as...
disable_formattingbooleanfalse-When enabled, the gateway will not append the "Sources" footer to assistant responses that used Linkup web search. Useful when the model output is piped to another...

Good to know

Same frontier performance as M2.7 with ~100 tokens/sec output. Interleaved thinking is always on (no toggle).

MiniMax M2.7 Highspeed API: common questions

How much does the MiniMax M2.7 Highspeed API cost?

On EmpirioLabs, MiniMax M2.7 Highspeed is billed pay as you go: Input $0.30 (was $0.60) per 1M prompt tokens; Output $1.20 (was $2.40) 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 Highspeed?

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

Is the MiniMax M2.7 Highspeed API OpenAI-compatible?

Yes. MiniMax M2.7 Highspeed 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-highspeed.

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

Yes. The EmpirioLabs playground runs MiniMax M2.7 Highspeed 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 Highspeed 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.

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