Qwen: Qwen3.5-Flash
Analysis Summary
Qwen3.5-Flash is listed with a 1M context window, vision, text, image, and video input, and support for tools and function calling. Its input rate of $0.065 and output rate of $0.26 make it an inexpensive option to evaluate for high-volume or long-context work. The supplied data does not include benchmark results for this specific model.
Without measured reasoning, coding, instruction-following, or agentic performance, its practical quality cannot be inferred from price and feature coverage alone. The long context and multimodal inputs may be useful for document or media workflows, but teams should check accuracy and consistency on representative examples. Treat it as a budget-tier pilot for bounded, low-risk tasks, and retain a stronger validated model for consequential decisions or autonomous tool use.
Assessed September 23, 2026
Editorial notes
Qwen3.5-Flash lists a 1M context window, multimodal input, function calling, and very low rates. No model-specific benchmarks are provided, so its quality and reliability should be established through a task-based pilot.
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-Flash lists a 1M context window, multimodal input, function calling, and very low rates. No model-specific benchmarks are provided, so its quality and reliability should be established through a task-based pilot.
How Qwen: Qwen3.5-Flash compares
Its 1M-token context window is larger than 86% of the models we list. At $0.07 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.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.07 | $0.000065 |
| Output | $0.26 | $0.000260 |
What would Qwen: Qwen3.5-Flash 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-Flash for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Qwen: Qwen3.5-Flash
The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the..
Frequently asked questions about Qwen: Qwen3.5-Flash
How much does Qwen: Qwen3.5-Flash cost?
Qwen: Qwen3.5-Flash costs $0.07 per million input tokens and $0.26 per million output tokens.
What is the context window of Qwen: Qwen3.5-Flash?
Qwen: Qwen3.5-Flash has a context window of 1,000,000 tokens (1M).
What can Qwen: Qwen3.5-Flash do?
Qwen: Qwen3.5-Flash supports image/vision input, tool use, and function calling.
Who created Qwen: Qwen3.5-Flash?
Qwen: Qwen3.5-Flash is developed by Qwen and was released on February 25, 2026.