Private AI
Qwen3.5 9B is a multimodal foundation model from the Qwen 3.5 family, built for efficient reasoning, coding, and visual understanding in a compact 9B architecture.
Added Mar 10, 2026
Model weightsContext Window
256.0K
Max Output
65.5K
Input Price (Auto)
$0.053/1M
Output Price (Auto)
$0.16/1M
Cache Read (Auto)
$0.026/1M
Capabilities
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
20.3
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Coding Index
23.5
GPQA Diamond
Graduate-level scientific reasoning
78.6%
Better than 71% of models compared
HLE
Humanity's Last Exam
8.6%
Better than 57% 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 50% 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 Jul 17, 2026
Artificial AnalysisBetter than 57% of models compared
