Qwen: Qwen3.5-9B (batch)
Analysis Summary
Qwen3.5-9B is a compact multimodal Qwen model supporting text, images, and video. It offers a 262K context window, tool use, and function calling at low token prices, creating a useful balance for content pipelines and structured assistants. The broad input coverage is valuable when campaign work includes visual assets or video references alongside written briefs.
It fits SEO enrichment, campaign summarisation, image and video analysis, content drafting, and tool-mediated internal workflows. The supplied record does not include independent benchmarks for this batch variant, so its reasoning depth, coding performance, and instruction reliability remain unconfirmed. It should not be the sole model for sensitive client communication or unsupervised actions. Use it as a volume-friendly first pass with schema validation, review, and escalation for difficult cases.
Assessed September 1, 2026
Editorial notes
Qwen3.5-9B combines vision, video input, a 262K context window, tool use, and function calling with low pricing. Its batch variant has no independent benchmark record, so it is best used for supervised multimodal automation pending validation.
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DFO Verdict
Qwen3.5-9B combines vision, video input, a 262K context window, tool use, and function calling with low pricing. Its batch variant has no independent benchmark record, so it is best used for supervised multimodal automation pending validation.
How Qwen: Qwen3.5-9B (batch) compares
Its 262K-token context window is larger than 72% of the models we list. At $0.17 per million input tokens it is cheaper than 58% 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 | $0.17 | $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.
Full calculator with 743 models → Price Calculator
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.