Qwen: Qwen3.5-9B
Analysis Summary
Qwen3.5-9B is a small, low-cost model supporting text, image, and video input with tool use and function calling. Its reasoning, coding, and agentic benchmark scores are all modest, reflecting its compact size and positioning as a budget option rather than a capability leader.
For businesses, this makes it suitable for simple classification, short content generation, or lightweight multimodal tasks at high volume where cost per call is the main constraint. It is not appropriate for complex reasoning, autonomous agent chains, or demanding coding work.
With very low input and output pricing and a 262K context window, it offers an economical option for bulk, low-complexity tasks when paired with a stronger model for anything requiring depth.
Assessed July 25, 2026
Editorial notes
Qwen3.5-9B is an inexpensive, vision-capable small model from Qwen, though reasoning, coding, and agentic scores are all limited.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen3.5-9B is an inexpensive, vision-capable small model from Qwen, though reasoning, coding, and agentic scores are all limited.
How Qwen: Qwen3.5-9B compares
Qwen: Qwen3.5-9B ranks #138 of 398 AI models we track for overall intelligence, #89 of 173 for coding, #101 of 154 for agentic tasks. Its 262K-token context window is larger than 75% of the models we list. At $0.10 per million input tokens it is cheaper than 69% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.10 | $0.000100 |
| Output | $0.15 | $0.000150 |
What would Qwen: Qwen3.5-9B cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 654 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen: Qwen3.5-9B for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Qwen: Qwen3.5-9B
Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design..
Frequently asked questions about Qwen: Qwen3.5-9B
How much does Qwen: Qwen3.5-9B cost?
Qwen: Qwen3.5-9B costs $0.10 per million input tokens and $0.15 per million output tokens.
What is the context window of Qwen: Qwen3.5-9B?
Qwen: Qwen3.5-9B has a context window of 262,144 tokens (262K).
Is Qwen: Qwen3.5-9B good for coding?
On our coding benchmark index, Qwen: Qwen3.5-9B ranks #89 of 173 models, placing it in the broader range of the field for code generation and debugging.
What can Qwen: Qwen3.5-9B do?
Qwen: Qwen3.5-9B supports image/vision input, tool use, and function calling.
Who created Qwen: Qwen3.5-9B?
Qwen: Qwen3.5-9B is developed by Qwen and was released on March 10, 2026.
