Providers and ModelsMiniMax

MiniMax-M2.7

MiniMax-M2.7
MiniMax · Text Generation
POST /v1/chat/completions

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

At a glance

FieldValue
Model idminimax-m2-7
Input modalitiesText
Output modalitiesText
Context window200K
Weight precision-
Max output tokens32,768
RegionSingapore
Featuresreasoning, function_calling, cache
Native inferenceNo
NewYes
Supported endpointsPOST /v1/chat/completions, POST /v1/responses, POST /v1/messages

Pricing

ChargeSpecRate
Inputper 1M prompt tokens$0.15 (was $0.30)
Outputper 1M generated tokens$0.60 (was $1.20)
Implicit cache readper 1M cached input tokens$0.03 (was $0.06)

Example request

$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":"Hello"}]}'

Parameters

ParameterTypeRequiredDefaultDescription
temperaturenumberno1Sampling temperature. 0 = deterministic, 2 = maximum randomness. · Range: 0 – 2
top_pnumberno0.95Nucleus sampling probability mass. Lower = more focused. · Range: 0 – 1
max_tokensnumberno4096Maximum tokens in the response. · Range: 1 – 131072
stopstringno—Up to 4 strings where the model will stop generating further tokens.
toolsarrayno—OpenAI-style function-calling tool definitions. Each entry has name, description, parameters.
tool_choicestringno—auto | none | required | {type:function, function:{name:”…”}}. Controls when the model must call a tool.

Notes

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

Machine-readable schema: GET https://api.empiriolabs.ai/v1/models/minimax-m2-7.