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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 GTX 1650 4GB

Can it run?

Can GTX 1650 4GB run Qwen3.5 9B?

FWon't run

Too heavy

Using Q4_K_M in Ollama

Capabilities:

Fit status

Too heavy

Decode

11.7 tok/s

TTFT

16607 ms

Safe context

8K

Memory

8.5 GB / 4.0 GB

Memory breakdown

Weights5.5 GB
KV Cache1.4 GB
Runtime1.2 GB
Headroom0.4 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingFToo heavy11.7 tok/s24156 ms13K
ChatFToo heavy11.7 tok/s9059 ms4K
CodingFToo heavy11.7 tok/s16607 ms8K
RAGFToo heavy11.7 tok/s30195 ms13K
ReasoningFToo heavy11.7 tok/s19627 ms8K

Quantization options

How Qwen3.5 9B (9B params) fits at each quantization level on GTX 1650 4GB (4.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
3.5 GB
LowC44
Q3_K_S
3
4.4 GB
LowF0
NVFP4
4
5.0 GB
MediumF0
Q4_K_M
4
5.5 GB
MediumF0
Q5_K_M
5
6.5 GB
HighF0
Q6_K
6
7.4 GB
HighF0
Q8_0
8
9.6 GB
Very HighF0
F16
16
18.5 GB
MaximumF0

Upgrade options

Hardware that runs Qwen3.5 9B well

IntelIntel Arc B580 12GBBudget pick
C39.9 tok/s decode

~$249 MSRP

NVIDIARTX 3060 12GBBest value
C43.3 tok/s decode

~$329 MSRP

NVIDIARTX 3080 12GBBiggest leap
B126.3 tok/s decode

~$799 MSRP

NVIDIARTX 3080 Ti 12GBNVIDIA upgrade
B122.9 tok/s decode

~$1,199 MSRP

See all results for GTX 1650 4GBSee all hardware for Qwen3.5 9B