为什么选它
- 适合极高并发
- 适合作为路由或 fallback 层
Alibaba
qwen3.5-9b
Qwen3.5-9B
适合成本敏感 API 流量与路由层的紧凑型长上下文 Qwen 模型。
公开模型详情Dense Transformer
参数规模
9B
上下文
256K
最大输出
32K
许可证
Apache 2.0
TTFT
160ms
吞吐
120 tok/s
价格与差价
层级标准缓存SiliconFlow节省
在线调用$0.05 / $0.40$0.018暂无暂无
批处理$0.03 / $0.20$0.018暂无暂无
快速开始
OpenAI 兼容接口，切换 base_url 即可。
Python
from openai import OpenAI
client = OpenAI(
base_url="https://api.luminapath.tech/v1",
api_key="BATCHIN_API_KEY"
)
resp = client.chat.completions.create(
model="qwen3.5-9b",
messages=[{"role": "user", "content": "Summarize why this model is a fit for my workload."}]
)
print(resp.choices[0].message.content)JavaScript
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.luminapath.tech/v1",
apiKey: process.env.BATCHIN_API_KEY,
});
const resp = await client.chat.completions.create({
model: "qwen3.5-9b",
messages: [{ role: "user", content: "Summarize why this model is a fit for my workload." }],
});
console.log(resp.choices[0]?.message?.content);cURL
curl https://api.luminapath.tech/v1/chat/completions \
-H "Authorization: Bearer $BATCHIN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen3.5-9b",
"messages": [{"role":"user","content":"Summarize why this model is a fit for my workload."}]
}'规格与行为
架构
Dense Transformer
厂商家族
Qwen
上下文
256K
最大输出
32K
适用场景
cheap
fallback
相关模型
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