Your prompt will be processed by a meta-model and routed to one of dozens of models (see below), optimizing for the best possible output. To see which model was used, visit [Activity](/activity), or read the `model` attribute of the respon…
Model details →Auto Router vs Qwen: Qwen3.5-Flash
Auto Router wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
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 m…
Model details →Side-by-side comparison
| Capability | Auto Router | Qwen: Qwen3.5-Flash | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 2M | 1M | 🏆 Auto Router |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $-1000000.00 | $0.07 | 🏆 Auto Router |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $-1000000.00 | $0.26 | 🏆 Auto Router |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is Auto Router better than Qwen: Qwen3.5-Flash?
Auto Router wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Auto Router and Qwen: Qwen3.5-Flash?
Input: $-1000000.00 vs $0.07 per 1M tokens. Output: $-1000000.00 vs $0.26 per 1M tokens.
What context windows do Auto Router and Qwen: Qwen3.5-Flash support?
Auto Router supports up to 2M tokens. Qwen: Qwen3.5-Flash supports up to 1M tokens.
Do both Auto Router and Qwen: Qwen3.5-Flash support tool calling?
Auto Router: yes. Qwen: Qwen3.5-Flash: yes.