Qwen: Qwen3.5-27B
Analysis Summary
Qwen3.5-27B is a compact multimodal model with text, image, and video support, a 262K context window, tool use, and function calling. Its general intelligence is moderate, with no supplied coding or agentic index for this variant, so its capability profile is less fully established than larger benchmarked models.
The low input and output prices make it attractive for high-volume SEO briefs, rewriting, tagging, extraction, and supervised customer workflows. Multimodal input broadens its usefulness, while the large context supports long documents. The absence of measured coding and agentic data means teams should avoid assuming reliable performance on complex repositories or autonomous tool chains.
Use it for routine production with clear quality checks. It offers an efficient secondary option for agencies that need broad modality and low operating cost.
Assessed September 7, 2026
Editorial notes
Qwen3.5-27B provides multimodal input, a 262K context, tool use, function calling, and very low pricing. It is a capable value model for structured content and automation, but not a replacement for stronger reasoning systems.
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DFO Verdict
Qwen3.5-27B provides multimodal input, a 262K context, tool use, function calling, and very low pricing. It is a capable value model for structured content and automation, but not a replacement for stronger reasoning systems.
How Qwen: Qwen3.5-27B compares
Qwen: Qwen3.5-27B ranks #113 of 437 AI models we track for overall intelligence. Its 262K-token context window is larger than 71% 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 772 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.