Qwen: Qwen3.5 Plus 2026-02-15
Qwen3.5 Plus offers multimodal support and a large 1M token context window with tool use, but without any benchmark data its reasoning and task performance cannot be verified, limiting its score.
Assessment date: March 12, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a variety of task evaluations, the 3.5 series consistently demonstrates performance on par with state-of-the-art leading models. Compared to the 3 series, these models show a leap forward in both pure-text and multimodal capabilities.
Capabilities
Architecture
| Modality | Text + Image + Video → Text |
| Tokenizer | Qwen3 |
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.26 | $0.000260 |
| Output | $1.56 | $0.001560 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
