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.

• Context window: 262,144 tokens
• Input: text, image, video
• Output: text
• Pricing: $0.26/M input tokens, $2.08/M output tokens

View on OpenRouter. Model data sourced from OpenRouter.