Qwen: Qwen3.6 27B
Analysis Summary
Qwen3.6 27B from Alibaba delivers coding and agentic benchmark results well above its size class, supported by tool use, function calling, and vision. Its 262K context window and low per-token pricing make it attractive for high-volume automation or codebase-heavy workloads.
Businesses evaluating autonomous coding agents or structured document processing get a lot of capability for the price here. Intelligence on broader reasoning tasks is more modest than the coding and agentic scores suggest, so pair it with a stronger model for open-ended reasoning tasks.
A good pick where cost efficiency and tool-calling reliability matter more than frontier reasoning.
Assessed July 29, 2026
Editorial notes
Qwen3.6 27B pairs strong coding and agentic scores with a 262K context window and tool/function calling support at a low price point.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen3.6 27B pairs strong coding and agentic scores with a 262K context window and tool/function calling support at a low price point.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
37.1 Intelligence Index·53.7 Coding Index·27 Agentic Index
How Qwen: Qwen3.6 27B compares
Qwen: Qwen3.6 27B ranks #54 of 398 AI models we track for overall intelligence, #37 of 173 for coding, #49 of 154 for agentic tasks. Its 262K-token context window is larger than 75% of the models we list. At $0.29 per million input tokens it is cheaper than 46% 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 value. 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 →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.29 | $0.000289 |
| Output | $2.40 | $0.002400 |
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 654 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 $0.29 per million input tokens and $2.40 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 #37 of 173 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.
