Qwen: Qwen3.5-27B
Analysis Summary
Qwen3.5-27B is a multimodal Qwen model with a 262K context window and support for text, image, and video input. Tool use and function calling make it suitable for API workflows, while its general reasoning profile is stronger than the smaller Qwen3.5 variant in this group. No coding index is provided, so its engineering position is less certain.
Design for Online could use it for SEO briefs, content transformations, image-aware copy tasks, document analysis, and structured client operations. The pricing remains accessible enough for regular production traffic, and the context capacity supports large briefs and source collections. It is a strong secondary model for content and automation, but complex software engineering should be validated before adoption.
Assessed August 9, 2026
Editorial notes
Qwen3.5-27B offers stronger general reasoning than the smaller variant, plus vision, video input, function calling, and a 262K context window at moderate pricing. Coding data is limited, so it suits structured content and automation better than advanced engineering.
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DFO Verdict
Qwen3.5-27B offers stronger general reasoning than the smaller variant, plus vision, video input, function calling, and a 262K context window at moderate pricing. Coding data is limited, so it suits structured content and automation better than advanced engineering.
How Qwen: Qwen3.5-27B compares
Qwen: Qwen3.5-27B ranks #92 of 425 AI models we track for overall intelligence. Its 262K-token context window is larger than 73% of the models we list. At $0.20 per million input tokens it is cheaper than 57% 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 business fit. 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 | $0.20 | $0.000195 |
| Output | $1.56 | $0.001560 |
What would Qwen: Qwen3.5-27B 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 704 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen: Qwen3.5-27B for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Qwen: Qwen3.5-27B
The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of..
Frequently asked questions about Qwen: Qwen3.5-27B
How much does Qwen: Qwen3.5-27B cost?
Qwen: Qwen3.5-27B costs $0.20 per million input tokens and $1.56 per million output tokens.
What is the context window of Qwen: Qwen3.5-27B?
Qwen: Qwen3.5-27B has a context window of 262,144 tokens (262K).
What can Qwen: Qwen3.5-27B do?
Qwen: Qwen3.5-27B supports image/vision input, tool use, and function calling.
Who created Qwen: Qwen3.5-27B?
Qwen: Qwen3.5-27B is developed by Qwen and was released on February 25, 2026.