Private AI
Qwen3.6 27B is a native vision-language dense model with stronger agentic coding and STEM reasoning than Qwen 3.5 27B. It also improves spatial intelligence (including object localization/detection), plus video understanding, document OCR, and visual-agent workflows.
Added Apr 23, 2026
Model weightsContext Window
260.1K
Max Output
65.5K
Input Price (Auto)
$0.21/1M
Output Price (Auto)
$2.35/1M
Cache Read (Auto)
$0.11/1M
Capabilities
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
30.5
Choose explicit providers for this model. Auto routing remains available as the default option.
Loading provider options…
Coding Index
46.6
GPQA Diamond
Graduate-level scientific reasoning
82.9%
Better than 77% of models compared
HLE
Humanity's Last Exam
13.6%
Better than 71% of models compared
IFBench
Instruction-following benchmark
45.7%
Better than 53% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
93.6%
Better than 90% of models compared
AA-LCR
Long context reasoning evaluation
55.0%
Better than 62% of models compared
SciCode
Python programming for scientific computing
37.3%
Better than 62% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
21.2%
Last updated Aug 4, 2026
Artificial AnalysisBetter than 61% of models compared
