Qwen3.5 27B is a native vision-language dense model optimized for fast responses while balancing quality and inference speed.
Added Feb 24, 2026
Context Window
260.1K
Max Output
65.5K
Input Price (Auto)
$0.28/1M
Output Price (Auto)
$2.27/1M
Capabilities
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
40.1
Choose explicit providers for this model. Auto routing remains available as the default option.
Loading provider options…
Coding Index
37.4
GPQA Diamond
Graduate-level scientific reasoning
86.1%
Better than 93% of models compared
HLE
Humanity's Last Exam
18.8%
Better than 87% of models compared
IFBench
Instruction-following benchmark
51.6%
Better than 69% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
83.9%
Better than 79% of models compared
AA-LCR
Long context reasoning evaluation
58.0%
Better than 77% of models compared
SciCode
Python programming for scientific computing
41.1%
Better than 87% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
35.6%
Better than 88% of models compared
Last updated May 15, 2026
Artificial Analysis
