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qwen
qwen/qwen3.5-397b-a17b

qwen/qwen3.5-397b-a17b

262,144 context · $0.60/M input tokens · $3.60/M output tokens

The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers state-of-the-art performance comparable to leading-edge models across a wide range of tasks, including language understanding, logical reasoning, code generation, agent-based tasks, image understanding, video understanding, and graphical user interface (GUI) interactions. With its robust code-generation and agent capabilities, the model exhibits strong generalization across diverse agent.

Fiyatlandırma

Kullandıkça öde

Ön ödeme yok, yalnızca kullandığınız kadar ödeyin

Giriş$0.60 / M Tokens
Çıkış$3.60 / M Tokens

API Kullanımı

API'mizle entegre etmek için aşağıdaki kod örneklerini kullanın:

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/qwen3.5-397b-a17b",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

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

Model Tanıtımı

Qwen qwen3.5-397b-a17b

The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse

The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers state-of-the-art performance comparable to leading-edge models across a wide range of tasks, including language understanding, logical reasoning, code generation, agent-based tasks, image understanding, video understanding, and graphical user interface (GUI) interactions. With its robust code-generation and agent capabilities, the model exhibits strong generalization across diverse agent.


Why It Looks Great

  • Large Language Model architecture for efficient processing
  • 262144 context window for long document handling
  • Competitive pricing at $0.4/$2.3 per million tokens

Key Features

  • Context Window: 262144 tokens
  • Max Output: 65536 tokens
  • Vision: Supported
  • Function Calling: Supported

Specifications

SpecificationValue
ProviderQwen
Model TypeLarge Language Model (LLM)
ArchitectureN/A
Context Window262144 tokens
Max Output65536 tokens
InputText
OutputText
VisionSupported
Function CallingSupported

Pricing

Token TypeCost per Million Tokens
Input$0.4
Output$2.3

How to Use

  1. Write your prompt — describe the task, provide context, and specify desired output format.
  2. 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/qwen3.5-397b-a17b


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/qwen3.5-397b-a17b",
    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/qwen3.5-397b-a17b",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

  • Model: qwen/qwen3.5-397b-a17b
  • Provider: Qwen

Bilgi

Sağlayıcıqwen
Türllm

Desteklenen İşlevsellik

Giriş
MetinGörsel
Çıkış
Metin
Bağlam262,144
Maks. Çıkış65,536
Vision✓ Destekleniyor
Function Calling✓ Destekleniyor

API Erişim Kılavuzu

Base URLhttps://llm.wavespeed.ai/v1
API Endpointchat/completions
Model IDqwen/qwen3.5-397b-a17b

Qwen3.5 397b A17b API

qwen/qwen3.5-397b-a17b

The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers state-of-the-art performance comparable to leading-edge models across a wide range of tasks, including language understanding, logical reasoning, code generation, agent-based tasks, image understanding, video understanding, and graphical user interface (GUI) interactions. With its robust code-generation and agent capabilities, the model exhibits strong generalization across diverse agent.

Giriş

$0.6 /M

Çıkış

$3.6 /M

Bağlam

262K

Maks. Çıkış

66K

Vision

Destekleniyor

Araç Kullanımı

Destekleniyor

Qwen3.5 397b A17b'i WaveSpeedAI'da deneyin

Birleşik API'miz aracılığıyla Qwen3.5 397b A17b'e erişin — OpenAI uyumlu, soğuk başlatma yok, şeffaf fiyatlandırma.

Playground'u Aç

Qwen3.5 397b A17b hakkında sık sorulan sorular

Qwen3.5 397b A17b API ücreti ne kadar?+

WaveSpeedAI fiyatlandırması: milyon giriş tokenı başına $0.60 ve milyon çıkış tokenı başına $3.60. Prompt caching ve toplu işleme ayrı faturalanır ve uzun, tekrar eden yüklerde etkin maliyeti düşürür.

Qwen3.5 397b A17b'in bağlam penceresi nedir?+

Qwen3.5 397b A17b istek başına 262K bağlam tokenını ve 66K çıkış tokenını destekler.

Qwen3.5 397b A17b OpenAI uyumlu mu?+

Evet. WaveSpeedAI, Qwen3.5 397b A17b modelini https://llm.wavespeed.ai/v1 adresindeki OpenAI uyumlu endpoint üzerinden sunar. Resmi OpenAI SDK'sını WaveSpeedAI API anahtarınızla bu base URL'ye yöneltin — başka kod değişikliği gerekmez.

Qwen3.5 397b A17b'e nasıl başlarım?+

WaveSpeedAI'a giriş yapın, Access Keys'te bir API anahtarı oluşturun, ardından yukarıda gösterilen model id ile https://llm.wavespeed.ai/v1/chat/completions adresine bir istek gönderin. Yeni hesaplar Qwen3.5 397b A17b'i değerlendirmek için ücretsiz krediler alır.

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