Qwen: Qwen3.5-Flash
qwen/qwen3.5-flash-02-23
Description
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 3 series, these models deliver a leap forward in performance for both pure text and multimodal tasks, offering fast response times while balancing inference speed and overall performance.
How this model compares
Overall covers the full catalog. By plan covers only models available on that tier (same rules as available models in your list). Position on min–average–max. Prices use the higher of prompt or completion per token, shown per 1M tokens.
Price (per 1M tokens)
Min
Max
This model
336 models in this groupPrice (per 1M tokens)
- Min
- $0.04
- Avg
- $12.381012
- Max
- $750.00
This model: $0.26 / 1M tokens
Context length (tokens)
Min
Max
This model
336 models in this groupContext length (tokens)
- Min
- 4,095 tokens
- Avg
- 382,115.467 tokens
- Max
- 10,000,000 tokens
This model: 1,000,000 tokens
Capabilities
text+image+video->textContext: 1,000,000 tokens
Input:
TextImageVideo
Output:
Text