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)
$0.050/1M
Output Price (Auto)
$0.15/1M
Cache Read (Auto)
$0.025/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
20.6
Coding Index
23.5
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
78.6%
Better than 68% of models compared
HLE
Humanity's Last Exam
9.4%
Better than 55% 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
45.0%
Better than 49% of models compared
CritPt
Research-level physics reasoning
0.6%
Coding
SciCode
Python programming for scientific computing
27.7%
Better than 35% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
18.2%
Better than 57% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
14.0%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
98.4%
Last updated Aug 17, 2026
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