RealRelay.ai
MiniMax
2 channels

MiniMax-M2.7

MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates

Starting at
Input
$0.2935/ 1M
List price $0.30
Output
$1.1739/ 1M
List price $1.20
Open dashboard

Available from 2 channels

Each channel is compared at its lowest input-price tier; output breaks ties. A dash means /api/pricing does not provide that rate. Selecting a channel updates the endpoints and call example below.

jd/MiniMax-M2.7
Lowest input
Input
$0.2935 USD per 1M tokens
Output
$1.1739 USD per 1M tokens
Cache read
$0.0587 USD per 1M tokens
Cache write
$0.3668 USD per 1M tokens
minimax/MiniMax-M2.7
Input
$0.30 USD per 1M tokens
Output
$1.20 USD per 1M tokens
Cache read
$0.06 USD per 1M tokens
Cache write
$0.375 USD per 1M tokens

Endpoints

POST/v1/chat/completionsChat Completions

Call it

Using jd/MiniMax-M2.7

1from openai import OpenAI23client = OpenAI(4    base_url="https://www.realrelay.ai/v1",5    api_key="sk-***",6)78response = client.chat.completions.create(9    model="jd/MiniMax-M2.7",10    messages=[{"role": "user", "content": "Hello"}],11)1213print(response.choices[0].message.content)
1import OpenAI from "openai";23const client = new OpenAI({4  baseURL: "https://www.realrelay.ai/v1",5  apiKey: process.env.REALRELAY_API_KEY,6});78const response = await client.chat.completions.create({9  model: "jd/MiniMax-M2.7",10  messages: [{ role: "user", content: "Hello" }],11});1213console.log(response.choices[0].message.content);
1curl https://www.realrelay.ai/v1/chat/completions \2  -H "Authorization: Bearer $REALRELAY_API_KEY" \3  -H "Content-Type: application/json" \4  -d '{5    "model": "jd/MiniMax-M2.7",6    "messages": [{ "role": "user", "content": "Hello" }]7  }'

Prices and availability as published on Oct 4, 2026.

Capabilities

MCPPrompt cachingReasoningTool use
Input
Text
Output
Text