Qwen: Qwen3.6 27B
Analysis Summary
Qwen3.6 27B is Alibaba's Qwen3.6 flagship at the 27B scale, and its benchmark profile is strong across multiple dimensions. A coding index of 53.7, agentic index of 64.5, and intelligence index of 37.1 place it in the upper tier of non-frontier models. It supports vision, tool use, and function calling, and carries a 256K context window, giving it genuine breadth for business deployment.
For businesses, this model suits a wide range of workloads: software engineering assistance, autonomous agent pipelines, long-document analysis, and multimodal content tasks. GPQA at 0.842 and tau2 at 0.942 are particularly strong, and terminalbench at 0.348 reflects reliable agentic execution. The combination of vision and function calling on a single model reduces integration complexity.
At $0.285/$2.40 per million tokens it is competitively priced for its capability tier. Teams looking for a capable, multi-modal, tool-enabled model that does not require frontier pricing should evaluate it seriously, noting that provider API accessibility may require more setup than established Western equivalents.
Assessed June 30, 2026
Editorial notes
Qwen3.6 27B from Alibaba combines strong coding (index 53.7), high agentic performance (64.5), vision, tool use, function calling, and a 256K context window at competitive pricing, making it a capable all-round model for business workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Qwen: Qwen3.6 27B compares
Qwen: Qwen3.6 27B ranks #45 of 385 AI models we track for overall intelligence, #30 of 129 for coding, #44 of 293 for agentic tasks. Its 262K-token context window is larger than 81% of the models we list. At $0.29 per million input tokens it is cheaper than 44% of comparable models.
About 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..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Qwen: Qwen3.6 27B stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
qwen/qwen3.6-27b
|
| Provider | qwen |
| Release Date | April 27, 2026 |
| Context Length | 262,144 tokens |
| Max Completion | 262,140 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.29 | $0.000285 |
| Output | $2.40 | $0.002400 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
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 #30 of 129 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.
