Minimax M3

Name: Minimax M3 API
Brand: MiniMax
SKU: minimax-m3

silvamux/minimax-m3

Supported modalities

text

Input price$0.3-0.4per 1M tokens

Output price$1.2-2.4per 1M tokens

Pricing

Tiers are determined by the input context length of each request; Tune and Pro share the same tiered prices.

Unit: per 1M tokens

Input context	Input	Output	Cache read	Cache write
≤ 512K tokens	$0.3	$1.2	$0.06	$0
> 512K tokens	$0.4	$2.4	$0.12	$0

Capabilities

Evaluation data not available yet

Performance

Minimax M3

minimax-m3

Last 24 hours · 64,356 requests

First token · TTFT · P50: 351ms
Output speed · TPS · P50: 31tok/s
Full response · E2E · P50: 9.15s
Request success rate: 99.51%

24-hour availability

24 hours ago12 hours agoNow

Minimax M3 example code and API

Prominimax-m3

/api/v0/chat/completions/api/v1/responses/api/anthropic/v1/messages

UnifiedOpenAI ResponsesAnthropic

curl https://silvamux.io/api/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "minimax-m3",
    "messages": [{"role": "user", "content": "Hello, please introduce yourself"}]
  }'

# pip install openai
from openai import OpenAI

client = OpenAI(
    base_url="https://silvamux.io/api/v1",
    api_key="YOUR_API_KEY",
)

response = client.chat.completions.create(
    model="minimax-m3",
    messages=[
        {"role": "user", "content": "Hello, please introduce yourself"}
    ],
)

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

// Gradle: implementation(__HL_SLOT_0__)
import okhttp3.*;

OkHttpClient client = new OkHttpClient();
MediaType json = MediaType.get("application/json");
String payload = "{\"model\":\"minimax-m3\",\"messages\":[{\"role\":\"user\",\"content\":\"Hello, please introduce yourself\"}]}";

Request request = new Request.Builder()
    .url("https://silvamux.io/api/v1/chat/completions")
    .header("Authorization", "Bearer YOUR_API_KEY")
    .post(RequestBody.create(payload, json))
    .build();

try (Response response = client.newCall(request).execute()) {
    System.out.println(response.body().string());
}

// npm install openai
import OpenAI from 'openai'

const client = new OpenAI({
  baseURL: 'https://silvamux.io/api/v1',
  apiKey: 'YOUR_API_KEY',
})

const response = await client.chat.completions.create({
  model: 'minimax-m3',
  messages: [{ role: 'user', content: 'Hello, please introduce yourself' }],
})

console.log(response.choices[0].message.content)