Qwen3 VL 32b Instruct | Qwen LLM API

Name: Qwen3 Vl 32b Instruct API
Brand: qwen
Price: 0.16 USD
Availability: InStock

qwen/qwen3-vl-32b-instruct

Data di rilascio: 2025-10-23

131,072 context · $0.16/M input tokens · $0.64/M output tokens

Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video. With 32 billion parameters, it combines deep visual perception with advanced text...

Prezzi

Pay-per-use

Nessun costo iniziale, paga solo per ciò che usi

Input$0.16 / M Tokens

Output$0.64 / M Tokens

Prova il modello

qwen/qwen3-vl-32b-instruct

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: 'qwen/qwen3-vl-32b-instruct',
    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: 'qwen/qwen3-vl-32b-instruct',
    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

Qwen qwen3-vl-32b-instruct

qwen qwen3-vl-32b-instruct

Why It Looks Great

Large Language Model architecture for efficient processing
262144 context window for long document handling
Competitive pricing at $0.5/$1.6 per million tokens

Key Features

Context Window: 262144 tokens
Max Output: 4096 tokens
Vision: Supported
Function Calling: Supported

Specifications

Specification	Value
Provider	Qwen
Model Type	Large Language Model (LLM)
Architecture	N/A
Context Window	262144 tokens
Max Output	4096 tokens
Input	Text
Output	Text
Vision	Supported
Function Calling	Supported

Pricing

Token Type	Cost per Million Tokens
Input	$0.5
Output	$1.6

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: qwen/qwen3-vl-32b-instruct

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="qwen/qwen3-vl-32b-instruct",
    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": "qwen/qwen3-vl-32b-instruct",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

Model: qwen/qwen3-vl-32b-instruct
Provider: Qwen

Info

Provideralibaba

Tipollm

Funzionalità supportate

Input

TestoImmagine

Output

Testo

Contesto131,072

Output massimo32,768

Vision✓ Supportato

Function Calling✓ Supportato

Guida all'accesso API

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

API Endpointchat/completions

ID modelloqwen/qwen3-vl-32b-instruct

Domande frequenti su Qwen3 Vl 32b Instruct

Quanto costa Qwen3 Vl 32b Instruct via API?+

Prezzi su WaveSpeedAI: $0.16 per milione di token in input e $0.64 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 Qwen3 Vl 32b Instruct?+

Qwen3 Vl 32b Instruct supporta fino a 131K token di contesto e fino a 33K token di output per richiesta.

Qwen3 Vl 32b Instruct è compatibile con OpenAI?+

WaveSpeedAI espone Qwen3 Vl 32b Instruct 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 Qwen3 Vl 32b Instruct?+

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.