Qwen: Qwen3.5-9B (batch)
Analysis Summary
Qwen3.5-9B (batch) is listed as a multimodal model with image and video input, a 262K-token context, tool use, and function calling. No benchmark results are supplied for this batch endpoint, so its reasoning, coding, visual understanding, and agentic reliability cannot be confirmed from the available information.
The context and modalities make it a candidate for controlled tests involving long inputs or visual material, while tool calling may support integrations. The listed price is relatively low, but cost alone does not establish suitability for client workflows. Validate instruction following, factual consistency, and tool behavior before routing production traffic. Until those tests are available, treat it as an evaluation option rather than a proven choice for content, coding, or autonomous tasks.
Assessed September 23, 2026
Editorial notes
Qwen3.5-9B (batch) lists image and video input, a 262K-token context, and tool calling, but this record contains no benchmark results for the variant.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Qwen3.5-9B (batch) lists image and video input, a 262K-token context, and tool calling, but this record contains no benchmark results for the variant.
How Qwen: Qwen3.5-9B (batch) compares
Its 262K-token context window is larger than 74% of the models we list. At $0.17 per million input tokens it is cheaper than 53% 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.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.17 | $0.000170 |
| Output | $0.25 | $0.000250 |
What would Qwen: Qwen3.5-9B (batch) cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen: Qwen3.5-9B (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Qwen: Qwen3.5-9B (batch)
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 (batch)
How much does Qwen: Qwen3.5-9B (batch) cost?
Qwen: Qwen3.5-9B (batch) costs $0.17 per million input tokens and $0.25 per million output tokens.
What is the context window of Qwen: Qwen3.5-9B (batch)?
Qwen: Qwen3.5-9B (batch) has a context window of 262,144 tokens (262K).
What can Qwen: Qwen3.5-9B (batch) do?
Qwen: Qwen3.5-9B (batch) supports image/vision input, tool use, and function calling.
Who created Qwen: Qwen3.5-9B (batch)?
Qwen: Qwen3.5-9B (batch) is developed by Qwen and was released on March 10, 2026.