Private AI
Qwen3.5 27B is a native vision-language dense model optimized for fast responses while balancing quality and inference speed. Running inside a TEE (Trusted Execution Environment), with provider attestation support.
Added Mar 13, 2026
Model weightsContext Window
262.1K
Max Output
65.5K
Input Price (Auto)
$0.30/1M
Output Price (Auto)
$2.40/1M
Cache Read (Auto)
$0.15/1M
Capabilities
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
20.3
Auto routing is available for this model. Explicit provider selection is not available.
Loading provider options…
Coding Index
23.5
GPQA Diamond
Graduate-level scientific reasoning
78.6%
Better than 69% of models compared
HLE
Humanity's Last Exam
8.6%
Better than 56% of models compared
IFBench
Instruction-following benchmark
37.8%
Better than 32% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
85.1%
Better than 77% of models compared
AA-LCR
Long context reasoning evaluation
38.0%
Better than 49% of models compared
SciCode
Python programming for scientific computing
27.7%
Better than 36% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
18.2%
Last updated Aug 4, 2026
Artificial AnalysisBetter than 57% of models compared
