Qwen3.5-Flash
Qwen3.5-Flash is a vision-language model developed by Qwen that features a hybrid architecture combining linear attention with a sparse mixture-of-experts design. It is designed for high-efficiency processing of text, images, and video, and supports both reasoning and tool-calling capabilities.
Qwen3.5-Flash specs and pricing
- Provider: Qwen
- Released: February 25, 2026
- Context window: 1M tokens
- Max output: 66K tokens
- Input: text, images, video
- Output: text
- Price: $0.065 input / $0.26 output per 1M tokens
- Reasoning: yes
- Tool calling: yes
What Qwen3.5-Flash is good at
- Analyzing multimodal inputs including video and images
- Complex reasoning tasks that require tool integration
- High-volume data processing due to its efficient architecture
To-dos to try with Qwen3.5-Flash
- Analyze this 30-minute video file and summarize the key events chronologically
- Examine these five technical diagrams and extract the specifications into a table
- Use the built-in tool to search for current market data and draft a brief report
FAQ
- What types of media can Qwen3.5-Flash process? The model is capable of processing text, images, and video as input.
- Does this model support complex problem solving? Yes, it includes native support for reasoning and tool-calling capabilities.
- How much does Qwen3.5-Flash cost? Qwen3.5-Flash costs $0.065 per million input tokens and $0.26 per million output tokens through OpenRouter. In todo.is a typical agent step costs about 0.22 credits ($1 = 100 credits).
- What is the context window of Qwen3.5-Flash? Qwen3.5-Flash can read up to 1M tokens at once and write up to 66K tokens in one reply.
- Can I use Qwen3.5-Flash without coding? Yes. In todo.is you pick Qwen3.5-Flash as your agent's model and write to-dos in plain words, on the web, the Android app, WhatsApp or Telegram. No API key needed: credits are included, or you can bring your own key.
JavaScript is required to use the todo.is app.