Qwen
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...
Cost / 1M tokens
Very low usage$0.065
input
—
cached input
$0.26
output
Context Window
1M
Up to 66K max output
Modalities
text, image, video → text
Qwen3 tokenizer
Quickstart & API
qwen/qwen3.5-flash-02-23Best for & Strengths
Key Strengths
Recommended Workloads in ChatOSS
- Coding agents
- Complex reasoning & debugging
- Screenshot-to-code workflows
Active Provider Endpoints (1)
Upstream inference providers serving Qwen3.5-Flash, with per-provider pricing, context limits, quantization, and 24-hour uptime.
| Provider | Input / 1M | Output / 1M | Cache Read / 1M | Context | Max Output | Quantization | Uptime (24h) |
|---|---|---|---|---|---|---|---|
Alibaba alibaba | $0.065 | $0.26 | — | 1M | 66K | — | 100.0% |
Supported API Parameters
Parameters accepted by this model when called through ChatOSS or OpenRouter.
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