Qwen3.5 Plus 2026-02-15
qwen/qwen3.5-plus-02-15
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.
Key facts
- Input price
- $0.26 / 1M tokens
- Output price
- $1.56 / 1M tokens
- Context window
- 1M tokens
- Max output
- 66K tokens
- Accepts
- Text, Images, Video
- Returns
- Text
Example: 1,000 requests with 1,000 input and 500 output tokens each would cost about $1.04 (1M input tokens × $0.26 + 0.5M output tokens × $1.56). Estimate your own usage.
Prices are the provider’s own per-token rates with zero markup, from our price list as of Oct 18, 2026. If a call has extra provider charges (images, audio, web search, cached prompts), you pay the reported cost.
Call it from your code
curl https://api.tokenctr.com/v1/chat/completions \
-H "Authorization: Bearer $TOKENCENTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "qwen/qwen3.5-plus-02-15", "messages": [{"role": "user", "content": "Hello!"}]}'Works with any OpenAI-compatible SDK: set the base URL to https://api.tokenctr.com/v1. Quickstart
Benchmarks
Design Arena
| Category | Rank | Elo | Win rate |
|---|---|---|---|
| Models: SVG | 59 | 1107 | 48.9% |
| Models: ASCII art | 61 | 1096 | 43.2% |
| Models: UI components | 65 | 1177 | 52.2% |
| Models: Websites | 67 | 1189 | 50% |
| Models: Code | 74 | 1168 | 48.4% |
| Models: 3D | 83 | 1119 | 47.7% |
| Models: Data visualization | 85 | 1137 | 44.8% |
| Models: Game dev | 89 | 1108 | 42.6% |
Source: Artificial Analysis indexes and Design Arena results as published in OpenRouter’s model data, fetched Oct 15, 2026. Higher is better. Not measured by TokenCenter. See all rankings.