MiniMax M2.5 | MiniMax Productivity LLM API

Name: Minimax M2.5 API
Brand: minimax
Price: 0.3 USD
Availability: InStock

minimax/minimax-m2.5

Data di rilascio: 2026-02-12

196,608 context · $0.30/M input tokens · $1.20/M output tokens

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...

Prezzi

Pay-per-use

Nessun costo iniziale, paga solo per ciò che usi

Input$0.30 / M Tokens

Output$1.20 / M Tokens

Cache Read$0.03 / M Tokens

Prova il modello

minimax/minimax-m2.5

Online

Ciao! Sono un assistente IA utile. Come posso aiutarti?

Pronto a usare questo modello in un coding agent locale?Setup agent

Utilizzo API

Usa i seguenti esempi di codice per integrare la nostra API:

import OpenAI from 'openai';

if (!process.env.WAVESPEED_API_KEY) throw new Error('Set WAVESPEED_API_KEY');
const client = new OpenAI({
  apiKey: process.env.WAVESPEED_API_KEY,
  baseURL: 'https://llm.wavespeed.ai/v1',
  timeout: 120_000,
  maxRetries: 2,
});

try {
  const response = await client.chat.completions.create({
    model: 'minimax/minimax-m2.5',
    messages: [{ role: 'user', content: 'Hello!' }],
  });
  console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
  console.error('LLM request failed:', error);
  process.exitCode = 1;
}

import OpenAI from 'openai';

if (!process.env.WAVESPEED_API_KEY) throw new Error('Set WAVESPEED_API_KEY');
const client = new OpenAI({
  apiKey: process.env.WAVESPEED_API_KEY,
  baseURL: 'https://llm.wavespeed.ai/v1',
  timeout: 120_000,
  maxRetries: 2,
});

try {
  const response = await client.chat.completions.create({
    model: 'minimax/minimax-m2.5',
    messages: [{ role: 'user', content: 'Hello!' }],
  });
  console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
  console.error('LLM request failed:', error);
  process.exitCode = 1;
}

Introduzione al modello

Minimax minimax-m2.5

MiniMax-M2

MiniMax-M2.5 is a SOTA large language model designed for real-world productivity, excelling in coding, office work, and agentic workflows.

Why It Looks Great

MoE (Mixture of Experts) architecture for efficient processing
204800 context window for long document handling
Competitive pricing at $0.3/$1.2 per million tokens

Key Features

Context Window: 204800 tokens
Max Output: N/A tokens
Vision: Supported
Function Calling: Supported

Specifications

Specification	Value
Provider	Minimax
Model Type	Large Language Model (LLM)
Architecture	MoE (Mixture of Experts)
Context Window	204800 tokens
Max Output	tokens
Input	Text
Output	Text
Vision	Supported
Function Calling	Supported

Pricing

Token Type	Cost per Million Tokens
Input	$0.3
Output	$1.2

How to Use

Write your prompt — describe the task, provide context, and specify desired output format.
Submit — the model processes your request and returns the response.

API Integration

Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: minimax/minimax-m2.5

API Usage

Python SDK

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

response = client.chat.completions.create(
    model="minimax/minimax-m2.5",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

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

cURL

curl https://llm.wavespeed.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "minimax/minimax-m2.5",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

Model: minimax/minimax-m2.5
Provider: Minimax

Info

Providerminimax

Tipollm

Funzionalità supportate

Input

Testo

Output

Testo

Contesto196,608

Output massimo65,536

Vision-

Function Calling✓ Supportato

Guida all'accesso API

Base URLhttps://llm.wavespeed.ai/v1

API Endpointchat/completions

ID modellominimax/minimax-m2.5

Domande frequenti su Minimax M2.5

Quanto costa Minimax M2.5 via API?+

Prezzi su WaveSpeedAI: $0.30 per milione di token in input e $1.20 per milione di token in output. Prompt caching e batch processing sono fatturati separatamente e riducono il costo effettivo su carichi lunghi e ripetitivi.

Qual è la context window di Minimax M2.5?+

Minimax M2.5 supporta fino a 197K token di contesto e fino a 66K token di output per richiesta.

Minimax M2.5 è compatibile con OpenAI?+

WaveSpeedAI espone Minimax M2.5 su https://llm.wavespeed.ai/v1 tramite l’interfaccia Chat Completions compatibile con OpenAI. Per la maggior parte dei client OpenAI SDK basta cambiare base URL e API key; i campi opzionali dipendono dal modello.

Come si inizia con Minimax M2.5?+

Accedi a WaveSpeedAI, crea una API key in Access Keys e invia una richiesta a https://llm.wavespeed.ai/v1/chat/completions con il model id mostrato sopra. Consulta il catalogo attuale per disponibilità, funzionalità e prezzi.