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.
Kullandıkça öde
Ön ödeme yok, yalnızca kullandığınız kadar ödeyin
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)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.
| Specification | Value |
|---|---|
| Provider | Qwen |
| Model Type | Large Language Model (LLM) |
| Architecture | N/A |
| Context Window | 262144 tokens |
| Max Output | 65536 tokens |
| Input | Text |
| Output | Text |
| Vision | Supported |
| Function Calling | Supported |
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $0.4 |
| Output | $2.3 |
Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: qwen/qwen3.5-397b-a17b
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 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!"}]
}'
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
Birleşik API'miz aracılığıyla Qwen3.5 397b A17b'e erişin — OpenAI uyumlu, soğuk başlatma yok, şeffaf fiyatlandırma.
Playground'u AçWaveSpeedAI 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 istek başına 262K bağlam tokenını ve 66K çıkış tokenını destekler.
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.
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.