Qwen: Qwen3.6 27B
Analysis Summary
Qwen3.6 27B stands out with a coding index well ahead of most mid-sized models, paired with a high agentic score and full support for tool use, function calling, and vision across a 262K context window. This is a broad capability set for its size class.
It suits software engineering assistance, multi-step agent tasks, and image-aware document workflows where reliability and cost both matter. Reasoning depth trails the very top frontier models, so the most demanding analytical work still benefits from a larger flagship.
Given its pricing and capability spread, it is a strong pick for teams building coding or agentic tools on a moderate budget.
Assessed July 10, 2026
Editorial notes
Qwen3.6 27B delivers strong coding and agentic scores with tool use, function calling, vision, and a 262K context window, making it a capable all-round option for technical workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen3.6 27B delivers strong coding and agentic scores with tool use, function calling, vision, and a 262K context window, making it a capable all-round option for technical workflows.
Benchmark scores
Magenta = intelligence Ā· Ink = technical/agentic Ā· Cyan = content & long-context Ā· Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
37.1 Intelligence IndexĀ·53.7 Coding IndexĀ·64.5 Agentic Index
How Qwen: Qwen3.6 27B compares
Qwen: Qwen3.6 27B ranks #51 of 393 AI models we track for overall intelligence, #33 of 157 for coding, #35 of 300 for agentic tasks. Its 262K-token context window is larger than 80% of the models we list. At $0.45 per million input tokens it is cheaper than 37% of comparable models.
Dark bar = input Ā· light bar = output, scaled to the priciest peer.
1M tokens ā 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on content. The pulled-in intelligence corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side āPricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.45 | $0.000450 |
| Output | $2.70 | $0.002700 |
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 612 models ā 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 ā accepting text, image, and video inputs..
Embed this ranking
Frequently asked questions about Qwen: Qwen3.6 27B
How much does Qwen: Qwen3.6 27B cost?
Qwen: Qwen3.6 27B costs $0.45 per million input tokens and $2.70 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 #33 of 157 models, placing it in the top quartile 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.
