模型详情
qwen3.5-flash
The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the 3 series, these models deliver a leap forward in performance for both pure text and multimodal tasks, offering fast response times while balancing inference speed and overall performance.
模型规格
- 上下文长度
- –
- 最大输出
- –
- 输入/输出模态
- –
- 发布日期
- 2026-02
02
API 端点
单一 MixRoute 网关,OpenAI 兼容
-
OpenAI-compatible
/v1/chat/completionsPOST
03
价格
固定费率,单位:/1M Tokens
输入
$0.1000 /1M Tokens
补全
$0.4000 /1M Tokens
缓存读取
$0.0100 /1M Tokens
缓存创建
$0.1250 /1M Tokens
08
Token 成本估算
基于本页价格的实时估算,非实际账单
同一前缀被重复读取的输入占比,最高 100%
单一端点,可验证的决策
使用相同的请求格式测试此模型和备用路由
从真实工作负载开始,再由质量、总成本和故障条件决定是否接入生产流量。