MiniMax M2.7 API

MiniMax M2.7 is a large language model by MiniMax, available on the Venice API as minimax-m27. It runs privately, with zero data retention.MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity with advanced agentic capabilities through multi-agent collaboration.

MiniMax M2.7 API pricing

Model ID	Variant	Privacy	Price
`minimax-m27`	Standard	Private	$0.38 input /$ 1.50 output per 1M tokens

MiniMax M2.7 specifications

Spec	Value
Provider	MiniMax
Released	Mar 18, 2026
Privacy	Private
Context window	198K tokens
Max output	32K tokens
Reasoning effort	none, low, medium, high

How to use the MiniMax M2.7 API

Send requests to POST https://api.venice.ai/api/v1/chat/completions with "model": "minimax-m27" and your API key.

curl https://api.venice.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "minimax-m27",
    "messages": [{ "role": "user", "content": "Explain TEE attestation in two sentences." }],
    "reasoning_effort": "low"
  }'

MiniMax M2.7 API FAQ

How much does the MiniMax M2.7 API cost?

0.38 per 1M input tokens and

1.50 per 1M output tokens, with cached input at $0.069 per 1M. Prices are in USD and can be paid in DIEM at parity.

What is the MiniMax M2.7 model ID?

Use minimax-m27 as the model parameter.

Is the MiniMax M2.7 API private?

MiniMax M2.7 is private: requests run on infrastructure Venice controls with zero data retention, and prompts and outputs are never stored or used for training.

What is the context window of MiniMax M2.7?

198K tokens of context, with up to 32K output tokens per response.

What does MiniMax M2.7 support?

MiniMax M2.7 supports function calling, reasoning, web search and prompt caching. Reasoning effort is adjustable with reasoning_effort: none, low, medium and high (default low).

Which endpoint does the MiniMax M2.7 API use?

Call POST /chat/completions. /responses (Alpha) is also supported.

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