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All estimates are approximations based on mathematical models and public specifications. Actual performance may vary. Do not make purchasing decisions based solely on these estimates.

Data sourced from Hugging Face, Ollama, and official model documentation. Model names and logos are trademarks of their respective owners.

© 2026 Will It Run AI — Fase Consulting Ibiza, S.L. (NIF: B57969656)

Home/Qwen3.5 9B/on NVIDIA T4 16GB

Can it run?

Can NVIDIA T4 16GB run Qwen3.5 9B?

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

37.9 tok/s

TTFT

5110 ms

Safe context

26K

Memory

9.7 GB / 16.0 GB

Memory breakdown

Weights5.5 GB
KV Cache1.4 GB
Runtime1.2 GB
Headroom1.6 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCRuns well37.9 tok/s7433 ms46K
ChatCRuns well37.9 tok/s2787 ms14K
CodingCRuns well37.9 tok/s5110 ms26K
RAGCRuns well37.9 tok/s9291 ms46K
ReasoningCRuns well37.9 tok/s6039 ms26K

Quantization options

How Qwen3.5 9B (9B params) fits at each quantization level on NVIDIA T4 16GB (16.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
3.5 GB
LowD34
Q3_K_S
3
4.4 GB
LowD35
NVFP4
4
5.0 GB
MediumD36
Q4_K_M
4
5.5 GB
MediumD37
Q5_K_M
5
6.5 GB
HighD38
Q6_K
6
7.4 GB
HighD39
Q8_0Best for your GPU
8
9.6 GB
Very HighC42
F16
16
18.5 GB
MaximumF0

Get started

HuggingFace
huggingface-cli download hf-lmstudio-community--qwen3-5-9b-gguf

Upgrade options

Hardware that runs Qwen3.5 9B well

AMDRX 7900 XT 20GBBudget pick
C87.4 tok/s decode

~$899 MSRP

AppleMacBook Pro M4 Pro 24GBBest value
C38.3 tok/s decode

~$1,999 MSRP

NVIDIARTX A4500 20GBBiggest leap
C90.9 tok/s decode

 

See all results for NVIDIA T4 16GBSee all hardware for Qwen3.5 9B