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
Context Window
262.1K
Max Output
65.5K
Input Price (Auto)
$0.30/1M
Output Price (Auto)
$2.40/1M
Capabilities
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
40.1
Auto routing is available for this model. Explicit provider selection is not available.
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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
