Qwen: Qwen3.5-Flash
Analysis Summary
Qwen3.5-Flash is a low-cost Qwen model with a 1 million token context window, text, image, and video input, tool use, and function calling. That combination is well suited to large-scale document handling, multimodal classification, content transformation, and routine workflow automation.
The pricing is its clearest operational advantage, especially for bulk SEO and editorial pipelines. However, this variant has no supplied benchmark results, so its reasoning, coding, instruction-following, and agentic reliability cannot be verified. The feature set supports integration, but tool availability does not by itself establish dependable autonomous performance.
Pilot it for high-volume, supervised tasks with a stronger fallback for difficult requests. It has the profile of a value and throughput model, not a proven primary system for high-stakes client work.
Assessed September 7, 2026
Editorial notes
Qwen3.5-Flash offers a million-token context, multimodal input, tool use, function calling, and exceptionally low pricing. Its variant has no benchmark data, so it is best positioned as a high-volume workhorse pending production validation.
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DFO Verdict
Qwen3.5-Flash offers a million-token context, multimodal input, tool use, function calling, and exceptionally low pricing. Its variant has no benchmark data, so it is best positioned as a high-volume workhorse pending production validation.
How Qwen: Qwen3.5-Flash compares
Its 1M-token context window is larger than 84% of the models we list. At $0.07 per million input tokens it is cheaper than 74% 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 | $0.07 | $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.
Full calculator with 756 models → Price Calculator
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.