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
Context Window
256.0K
Max Output
65.5K
Input Price (Auto)
$0.050/1M
Output Price (Auto)
$0.15/1M
Capabilities
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
40.1
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Coding Index
37.4
Agentic 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
GDPval-AA
Economically valuable tasks
10.9%
Better than 63% of models compared
CritPt
Research-level physics reasoning
0.3%
Better than 76% 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
AA-Omniscience Accuracy
Proportion of correctly answered questions
15.9%
Better than 35% of models compared
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
81.4%
Better than 53% of models compared
Last updated May 15, 2026
Artificial Analysis
