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Provided by OpenRouter
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.
262,144 tokens$0.163/M$1.30/MThe 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.
Performance may vary based on query complexity, context length, and task type. Consider using higher-tier models for production-critical applications.
Try these prompts to explore Qwen: Qwen3.5-35B-A3B's capabilities:
Analyze this image and describe what you see in detail
Extract the key information from this screenshot
Compare the two images and explain the differences
Tip: Customize these prompts to fit your specific needs and use cases.
This model requires credits to use. Qwen: Qwen3.5-35B-A3B offers advanced capabilities and high-performance features for production-grade applications.
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