Qwen3.5-9B
Qwen3.5-9B is a multimodal foundation model developed by Qwen that processes text, images, and video. It features a 9B-parameter architecture designed to provide efficient reasoning, coding, and visual understanding capabilities.
Qwen3.5-9B specs and pricing
- Provider: Qwen
- Released: March 10, 2026
- Context window: 262K tokens
- Max output: 236K tokens
- Input: text, images, video
- Output: text
- Price: $0.17 input / $0.25 output per 1M tokens
- Reasoning: yes
- Tool calling: yes
What Qwen3.5-9B is good at
- Analyzing visual media alongside text
- Complex reasoning and problem-solving tasks
- Software development and coding assistance
To-dos to try with Qwen3.5-9B
- Analyze this video file to summarize the key events and identify the speakers.
- Review this codebase to suggest improvements and identify potential bugs.
- Examine these technical diagrams and explain the underlying logic in a text report.
FAQ
- What types of media can this model process? Qwen3.5-9B is a multimodal model capable of processing text, images, and video inputs.
- What are the primary strengths of this model? The model is built for strong reasoning, coding assistance, and visual understanding within an efficient architecture.
- How much does Qwen3.5-9B cost? Qwen3.5-9B costs $0.17 per million input tokens and $0.25 per million output tokens through OpenRouter. In todo.is a typical agent step costs about 0.51 credits ($1 = 100 credits).
- What is the context window of Qwen3.5-9B? Qwen3.5-9B can read up to 262K tokens at once and write up to 236K tokens in one reply.
- Can I use Qwen3.5-9B without coding? Yes. In todo.is you pick Qwen3.5-9B 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.