Qwen3.5-35B-A3B pricing
The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency. Its overall performance is comparable to that of the Qwen3.5-27B. Below you will find 3 current rows with input and output dollars per million. Right now the lowest input is $0.140 and the lowest output is $1.00.
Pricing across providers
Use this table to read Qwen3.5-35B-A3B list prices. We show 3 sources right now. Lowest input in the grid: Openrouter. The chart below the table helps when output prices are much higher than input prices.
| Provider | Input / 1M | Output / 1M | Cached input | Batch |
|---|---|---|---|---|
O Openrouter | $0.140 | $1.00 | — | — |
O Openrouter | $0.140 | $1.00 | — | — |
O Openrouter | $0.140 | $1.00 | — | — |
Input vs output · per provider
Cost calculator
Use this block to stress test Qwen3.5-35B-A3B cost without a spreadsheet. All estimates come from public list rates in this page.
Provider
0.014000¢ / req
0.050000¢ / req
Model specifications
These fields describe Qwen3.5-35B-A3B as we store it (Family: Qwen. source: Alibaba). They sit next to price so buyers can check limits and tools in one place.
- Context window
- 262,144 tokens
- Max output
- 65,536 tokens
- Vision (images)
- Yes
- Tool / function calling
- Yes
- Streaming
- No
- Released
- Feb 2026
- Primary provider
- Alibaba
- Model family
- Qwen
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Frequently asked questions
Answers pull from the same numbers you see on this page. The short model note from our index: The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency. I...
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