Qwen3.5系列35B-A3B原生视觉语言模型,基于混合架构设计,融合了线性注意力机制与稀疏混合专家模型,实现了更高的推理效率。该模型的综合表现接近于Qwen3.5-27B。
| Provider | Input | Output | Cache read | Context length | Latency | Uptime | Status |
|---|---|---|---|---|---|---|---|
dashscope dashscope/qwen3.5-35b-a3b | ¥0.800 | ¥4.80 | — | 256K | 3.8s | 88.70% | Lowest |
from openai import OpenAI
client = OpenAI(
base_url="https://api.openroute.cn/v1",
api_key="<ONTOROUTE_API_KEY>",
)
completion = client.chat.completions.create(
model="qwen/qwen3.5-35b-a3b",
messages=[
{
"role": "user",
"content": "Write a one-sentence bedtime story about a unicorn.",
}
],
)
print(completion.choices[0].message.content)Prices are CNY (¥) per million tokens, billed as you go. Cache reads can cut the cost of repeated context.
This model does not publish tunable parameters.