
High-speed M2.7 variant tuned for fast inference with strong general-purpose performance with strong agentic capabilities.
High-speed M2.7 variant tuned for fast inference with strong general-purpose performance with strong agentic capabilities.
minimax-m2-7-highspeedPOST /v1/chat/completionsPOST /v1/responsesPOST /v1/messagesLive pay-as-you-go rates from the EmpirioLabs catalog. You are billed only for what you use, with no monthly minimum.
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 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."}
]
}'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)Request parameters supported by the MiniMax M2.7 Highspeed API on EmpirioLabs. Defaults apply when a field is omitted.
| Parameter | Type | Default | Range / values | Description |
|---|---|---|---|---|
| temperature | number | 1 | 0 to 2 | Sampling temperature. 0 = deterministic, 2 = maximum randomness. |
| top_p | number | 0.95 | 0 to 1 | Nucleus sampling probability mass. Lower = more focused. |
| max_tokens | number | 4096 | 1 to 131072 | Maximum tokens in the response. |
| stop | string | - | - | Up to 4 strings where the model will stop generating further tokens. |
| tools | array | - | - | OpenAI-style function-calling tool definitions. Each entry has name, description, parameters. |
| tool_choice | string | - | - | auto | none | required | {type:function, function:{name:"..."}}. Controls when the model must call a tool. |
| web_search_linkup | boolean | false | - | 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_formatting | boolean | false | - | 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... |
Same frontier performance as M2.7 with ~100 tokens/sec output. Interleaved thinking is always on (no toggle).
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.
MiniMax M2.7 Highspeed supports a 200K-token context window with up to 32,768 output tokens per response.
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.
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.
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.
Explore our models, or contact us about business inquiries, custom deployments, or anything else.