Qwen: Qwen3.5-Flash
Provided by OpenRouter
The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the...
Specifications
1,000,000 tokens$0.065/M$0.260/MAbout Qwen: Qwen3.5-Flash
The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the...
Strengths
- •Multimodal understanding - can process text and images
- •Large context window (1000k tokens) for long conversations
- •Fast response times for real-time interactions
Use Cases
- •Image and document understanding
- •Content creation and writing assistance
- •General conversations and Q&A
Limitations
Performance may vary based on query complexity, context length, and task type. Consider using higher-tier models for production-critical applications.
Sample Prompts
Try these prompts to explore Qwen: Qwen3.5-Flash'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.
Premium Model
This model requires credits to use. Qwen: Qwen3.5-Flash offers advanced capabilities and high-performance features for production-grade applications.
Credits required for premium models. Free models are available without credits.
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