minimax-m2.5· Released Feb 12, 2026

Name: minimax-m2.5
Brand: MiniMax
Availability: InStock

minimax/minimax-m2.5

MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1...

Input

From$0.28708/M

Output

From$1.1455/M

Context

Up to 205K

Max output

Up to 197K

Modalities

TextText

Input and output show the lowest price across upstreams, for reference. Your actual prices are listed per upstream below.

Upstreams & pricing

Upstream	Context	Max output	Input $/1M	Output $/1M	Cached input $/1M	Data policy
Zenlayer AI Gateway-openai_compat/GlobalFrom price	205K	197K	$0.28708	$1.1455	$0.05761	—

Routed in real time — you pay the listed price of whichever upstream serves your call. Data policies reflect each upstream's own data terms and its agreement with us. We do not independently audit upstream implementations.

How to call

bashrequest.sh

curl https://api.lune.io/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "minimax/minimax-m2.5",
    "messages": [
      {"role": "user", "content": "Say hello in five words."}
    ]
  }'

pythonrequest.py

from openai import OpenAI
import os

client = OpenAI(
    api_key=os.environ["API_KEY"],
    base_url="https://api.lune.io/v1",
)

resp = client.chat.completions.create(
    model="minimax/minimax-m2.5",
    messages=[{"role": "user", "content": "Say hello in five words."}],
)

print(resp.choices[0].message.content)

tsrequest.ts

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.API_KEY,
  baseURL: "https://api.lune.io/v1",
});

const resp = await client.chat.completions.create({
  model: "minimax/minimax-m2.5",
  messages: [{ role: "user", content: "Say hello in five words." }],
});

console.log(resp.choices[0].message.content);

gomain.go

package main

import (
    "context"
    "fmt"
    "os"

    "github.com/sashabaranov/go-openai"
)

func main() {
    cfg := openai.DefaultConfig(os.Getenv("API_KEY"))
    cfg.BaseURL = "https://api.lune.io/v1"
    client := openai.NewClientWithConfig(cfg)

    resp, err := client.CreateChatCompletion(
        context.Background(),
        openai.ChatCompletionRequest{
            Model: "minimax/minimax-m2.5",
            Messages: []openai.ChatCompletionMessage{
                {Role: "user", Content: "Say hello in five words."},
            },
        },
    )
    if err != nil {
        panic(err)
    }
    fmt.Println(resp.Choices[0].Message.Content)
}