qwen

Qwen: 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 Cost
$0.26
per 1M tokens
Output Cost
$2.08
per 1M tokens
Context Window
262,144
tokens
Compare vs GPT-4o
Developer ID: qwen/qwen3.5-122b-a10b

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