Qwen3.5-122B-A10B pricing
The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of overall performance, this model is second only to Qwen3.5-397B-A17B. Its text capabilities significantly outperform those of Qwen3-235B-2507, and its visual capabilities surpass those of Qwen3-VL-235B. Live index: 1 priced offer. Best input $0.400 per million tokens from Openrouter. Best output $2.00 per million tokens from Openrouter.
Pricing across providers
Use this table to read Qwen3.5-122B-A10B list prices. We show 1 source 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 | $0.400 | $2.00 | — | — |
Input vs output · 1M tokens
Cost calculator
Use this block to stress test Qwen3.5-122B-A10B cost without a spreadsheet. All estimates come from public list rates in this page.
0.040000¢ / req
0.100000¢ / req
Model specifications
Context length, caps, and capability flags for Qwen3.5-122B-A10B. Family: Qwen. Values follow the main provider (Alibaba) record in our index.
- 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
Read these after the table if you want plain language around Qwen3.5-122B-A10B rates. The short model note from our index: The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of...
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