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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 RX 6600 8GB

Can it run?

Can RX 6600 8GB run Qwen3.5 9B?

DPoor

Very compromised (needs ~0.6 GB host RAM)

Using Q4_K_M in Ollama

Capabilities:

Fit status

Very compromised (needs ~0.6 GB host RAM)

Decode

18.3 tok/s

TTFT

10590 ms

Safe context

14K

Memory

8.9 GB / 8.0 GB

Offload

10%

Memory breakdown

Weights5.5 GB
KV Cache1.4 GB
Runtime1.2 GB
Headroom0.8 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingFToo heavy20.0 tok/s14085 ms25K
ChatCRuns with offload (needs ~0.2 GB host RAM)19.4 tok/s5444 ms8K
CodingDVery compromised (needs ~0.6 GB host RAM)18.3 tok/s10590 ms14K
RAGFToo heavy20.0 tok/s17606 ms25K
ReasoningDVery compromised (needs ~0.6 GB host RAM)18.3 tok/s12516 ms14K

Quantization options

How Qwen3.5 9B (9B params) fits at each quantization level on RX 6600 8GB (8.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
3.5 GB
LowD39
Q3_K_S
3
4.4 GB
LowC41
NVFP4Best for your GPU
4
5.0 GB
MediumC43
Q4_K_M
4
5.5 GB
MediumC44
Q5_K_M
5
6.5 GB
HighC44
Q6_K
6
7.4 GB
HighC44
Q8_0
8
9.6 GB
Very HighF0
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

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

~$249 MSRP

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

~$329 MSRP

AMDRX 7700 XT 12GBAMD upgrade
C47.2 tok/s decode

~$449 MSRP

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

~$799 MSRP

See all results for RX 6600 8GBSee all hardware for Qwen3.5 9B