Qwen: Qwen3.6 27B
Analysis Summary
Qwen3.6 27B is a Qwen multimodal model with the strongest coding profile in this batch. It pairs a 262K context window with text, image, and video input, vision, tool use, and function calling. Instruction following and long-context results are also strong, making it capable of handling structured briefs, source-heavy analysis, and software tasks.
The model suits coding assistants, technical SEO, multimodal content workflows, and tool-connected applications that need reliable structured responses. Its listed pricing is higher than the smaller Qwen option, and the agentic index is moderate rather than leading, so cost and supervision should guide routing decisions. Design for Online would adopt it for quality-sensitive technical and content workflows, while using a cheaper model for routine volume traffic.
Assessed August 9, 2026
Editorial notes
Qwen3.6 27B delivers excellent coding, strong instruction following, 262K context, vision, video input, and function calling. Its higher token prices and moderate agentic index make it a specialist choice rather than a universal flagship.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen3.6 27B delivers excellent coding, strong instruction following, 262K context, vision, video input, and function calling. Its higher token prices and moderate agentic index make it a specialist choice rather than a universal flagship.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
37.7 Intelligence Index·53.7 Coding Index·27.5 Agentic Index
How Qwen: Qwen3.6 27B compares
Qwen: Qwen3.6 27B ranks #79 of 424 AI models we track for overall intelligence, #55 of 197 for coding, #66 of 179 for agentic tasks. Its 262K-token context window is larger than 73% of the models we list. At $0.60 per million input tokens it is cheaper than 35% 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 | $0.60 | $0.000600 |
| Output | $3.60 | $0.003600 |
What would Qwen: Qwen3.6 27B cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 701 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen: Qwen3.6 27B for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Qwen: Qwen3.6 27B
Qwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It features hybrid multimodal capabilities — accepting text, image, and video inputs..
Frequently asked questions about Qwen: Qwen3.6 27B
How much does Qwen: Qwen3.6 27B cost?
Qwen: Qwen3.6 27B costs $0.60 per million input tokens and $3.60 per million output tokens.
What is the context window of Qwen: Qwen3.6 27B?
Qwen: Qwen3.6 27B has a context window of 262,144 tokens (262K).
Is Qwen: Qwen3.6 27B good for coding?
On our coding benchmark index, Qwen: Qwen3.6 27B ranks #55 of 197 models, placing it in the broader range of the field for code generation and debugging.
What can Qwen: Qwen3.6 27B do?
Qwen: Qwen3.6 27B supports image/vision input, tool use, and function calling.
Who created Qwen: Qwen3.6 27B?
Qwen: Qwen3.6 27B is developed by Qwen and was released on April 27, 2026.
