Qwen3 VL 235b A22b Instruct | Qwen LLM API

Name: Qwen3 Vl 235b A22b Instruct API
Brand: qwen
Price: 0.3 USD
Availability: InStock

qwen/qwen3-vl-235b-a22b-instruct

Yayın tarihi: 2025-09-24

262,144 context · $0.30/M input tokens · $1.50/M output tokens

Fiyatlandırma

Kullandıkça öde

Ön ödeme yok, yalnızca kullandığınız kadar ödeyin

Giriş$0.30 / M Tokens

Çıkış$1.50 / M Tokens

Cache Read$0.11 / M Tokens

Modeli dene

qwen/qwen3-vl-235b-a22b-instruct

Çevrimiçi

Merhaba! Yardımcı bir yapay zeka asistanıyım. Size nasıl yardımcı olabilirim?

Bu modeli yerel bir coding agent içinde kullanmaya hazır mısınız?Agent setup

API Kullanımı

API'mizle entegre etmek için aşağıdaki kod örneklerini kullanın:

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-235b-a22b-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-235b-a22b-instruct',
    messages: [{ role: 'user', content: 'Hello!' }],
  });
  console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
  console.error('LLM request failed:', error);
  process.exitCode = 1;
}

Model Tanıtımı

Qwen qwen3-vl-235b-a22b-instruct

Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video

Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instruct model targets general vision-language use (VQA, document parsing, chart/table extraction, multilingual OCR). The series emphasizes robust perception (recognition of diverse real-world and synthetic categories), spatial understanding (2D/3D grounding), and long-form visual comprehension, with competitive results on public multimodal benchmarks for both perception and reasoning.

Beyond analysis, Qwen3-VL supports agentic interaction and tool use: it can follow complex instructions over multi-image, multi-turn dialogues; align text to video timelines for precise temporal queries; and operate GUI elements for automation tasks. The models also enable visual coding workflows—turning sketches or mockups into code and assisting with UI debugging—while maintaining strong text-only performance comparable to the flagship Qwen3 language

Why It Looks Great

Large Language Model architecture for efficient processing
262144 context window for long document handling
Competitive pricing at $0.2/$0.10 per million tokens

Key Features

Context Window: 262144 tokens
Max Output: N/A 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	tokens
Input	Text
Output	Text
Vision	Supported
Function Calling	Supported

Pricing

Token Type	Cost per Million Tokens
Input	$0.2
Output	$0.10

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-235b-a22b-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-235b-a22b-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-235b-a22b-instruct",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

Model: qwen/qwen3-vl-235b-a22b-instruct
Provider: Qwen

Bilgi

Sağlayıcıalibaba

Türllm

Desteklenen İşlevsellik

Giriş

MetinGörsel

Çıkış

Metin

Bağlam262,144

Maks. Çıkış-

Vision✓ Destekleniyor

Function Calling✓ Destekleniyor

API Erişim Kılavuzu

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

API Endpointchat/completions

Model IDqwen/qwen3-vl-235b-a22b-instruct

Qwen3 Vl 235b A22b Instruct hakkında sık sorulan sorular

Qwen3 Vl 235b A22b Instruct API ücreti ne kadar?+

WaveSpeedAI fiyatlandırması: milyon giriş tokenı başına $0.30 ve milyon çıkış tokenı başına $1.50. Prompt caching ve toplu işleme ayrı faturalanır ve uzun, tekrar eden yüklerde etkin maliyeti düşürür.

Qwen3 Vl 235b A22b Instruct'in bağlam penceresi nedir?+

Qwen3 Vl 235b A22b Instruct istek başına 262K bağlam tokenını ve — çıkış tokenını destekler.

Qwen3 Vl 235b A22b Instruct OpenAI uyumlu mu?+

WaveSpeedAI, Qwen3 Vl 235b A22b Instruct modelini https://llm.wavespeed.ai/v1 adresindeki OpenAI uyumlu Chat Completions arayüzü üzerinden sunar. Çoğu OpenAI SDK istemcisinde base URL ve API anahtarını değiştirmek yeterlidir; isteğe bağlı alanlar modele bağlıdır.

Qwen3 Vl 235b A22b Instruct'e nasıl başlarım?+

WaveSpeedAI’a giriş yapın, Access Keys bölümünde bir API anahtarı oluşturun ve yukarıdaki model id ile https://llm.wavespeed.ai/v1/chat/completions adresine istek gönderin. Güncel kullanılabilirlik, özellikler ve fiyatlar için model kataloğunu kontrol edin.