Qwen: Qwen3.5-27B
Provided by OpenRouter
The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of the Qwen3.5-122B-A10B.
Specifications
262,144 tokens$0.195/M$1.56/MAbout Qwen: Qwen3.5-27B
The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of the Qwen3.5-122B-A10B.
Strengths
- •Multimodal understanding - can process text and images
- •Large context window (262k tokens) for long conversations
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: Qwen3.5-27B'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: Qwen3.5-27B offers advanced capabilities and high-performance features for production-grade applications.
Credits required for premium models. Free models are available without credits.
Related Models
Similar models you might be interested in
Google: Gemini 3.1 Flash Lite Preview
Gemini 3.1 Flash Lite Preview is Google's high-efficiency model optimized for high-volume use cases. It outperforms Gemini 2.5 Flash Lite on overall quality and approaches Gemini 2.5 Flash performance across key capabilities. Improvements span audio input/ASR, RAG snippet ranking, translation, data extraction, and code completion. Supports full thinking levels (minimal, low, medium, high) for fine-grained cost/performance trade-offs. Priced at half the cost of Gemini 3 Flash.
ByteDance Seed: Seed-2.0-Mini
Seed-2.0-mini targets latency-sensitive, high-concurrency, and cost-sensitive scenarios, emphasizing fast response and flexible inference deployment. It delivers performance comparable to ByteDance-Seed-1.6, supports 256k context, four reasoning effort modes (minimal/low/medium/high), multimodal understanding, and is optimized for lightweight tasks where cost and speed take priority.
Google: Nano Banana 2 (Gemini 3.1 Flash Image Preview)
Gemini 3.1 Flash Image Preview, a.k.a. "Nano Banana 2," is Google’s latest state of the art image generation and editing model, delivering Pro-level visual quality at Flash speed. It combines advanced contextual understanding with fast, cost-efficient inference, making complex image generation and iterative edits significantly more accessible. Aspect ratios can be controlled with the [image_config API Parameter](https://openrouter.ai/docs/features/multimodal/image-generation#image-aspect-ratio-configuration)
Qwen: Qwen3.5-35B-A3B
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.