Qwen: Qwen3.6 27B
Analysis Summary
Qwen3.6 27B pairs strong measured coding performance with a 262K context window and image and video input. Tool use and function calling are listed, along with good instruction-following and long-context results relative to its broader reasoning profile. Its coding ability is the clearest reason to consider it; the agentic index is comparatively low, so benchmark strength in coding should not be mistaken for reliable autonomy.
For agency workflows, it is a candidate for code generation, code review assistance, and multimodal work involving long documents, with a person validating consequential changes. It may also help with structured content tasks, though its general intelligence results do not support treating it as a universal flagship. The listed price is moderate, making it worth testing as a specialist before routing larger volumes. Avoid unsupervised multi-step execution until the workflow is validated.
Assessed September 23, 2026
Editorial notes
Qwen3.6 27B stands out for coding, with a 262K context, vision, video input, and function calling; weaker agentic and general reasoning results favor supervised specialist use.
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
Qwen3.6 27B stands out for coding, with a 262K context, vision, video input, and function calling; weaker agentic and general reasoning results favor supervised specialist use.
Benchmarks
Artificial Analysis data refreshed Oct 15, 2026. Arena ratings from the Oct 13, 2026 text leaderboard, with style control. Bars: magenta = reasoning, ink = coding and agents, cyan = instructions and long context.
How Qwen: Qwen3.6 27B compares
Qwen: Qwen3.6 27B ranks #124 of 439 AI models we track for overall intelligence, #56 of 198 for coding, #76 of 181 for agentic tasks. Its 262K-token context window is larger than 75% of the models we list. At $0.25 per million input tokens it is cheaper than 48% 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 | $0.25 | $0.000250 |
| Output | $2.00 | $0.002000 |
What would Qwen: Qwen3.6 27B 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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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 $0.25 per million input tokens and $2.00 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 #56 of 198 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.