Qwen3.5-122B-A10B
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.
Input
Output
Context
262K
Max Output
66K
Parameters
122B
Technical Specifications
Capabilities
Input Modalities
Output Modalities
Benchmarks
Pricing
per 1M tokens • updated regularlyPricing
Input
$0.260
Output
$2.08
Available on 1 Platform
| Platform | Input | Output |
|---|---|---|
OpenRouter | $0.260 | $2.08 |
Estimated GPU Requirements for Qwen3.5-122B-A10B
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Related Tools
Data sourced from official provider APIs and documentation
Last updated: Mar 17, 2026
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