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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 27B/on RX 9060 8GB

Can it run?

Can RX 9060 8GB run Qwen3.5 27B?

FWon't run

Too heavy

Using Q4_K_M in Ollama

Capabilities:

Fit status

Too heavy

Decode

11.0 tok/s

TTFT

17574 ms

Safe context

6K

Memory

22.7 GB / 8.0 GB

Memory breakdown

Weights16.5 GB
KV Cache4.2 GB
Runtime1.2 GB
Headroom0.8 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingFToo heavy11.0 tok/s25562 ms10K
ChatFToo heavy11.0 tok/s9586 ms4K
CodingFToo heavy11.0 tok/s17574 ms6K
RAGFToo heavy11.0 tok/s31952 ms10K
ReasoningFToo heavy11.0 tok/s20769 ms6K

Quantization options

How Qwen3.5 27B (27B params) fits at each quantization level on RX 9060 8GB (8.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
10.5 GB
LowF0
Q3_K_S
3
13.2 GB
LowF0
NVFP4
4
15.1 GB
MediumF0
Q4_K_M
4
16.5 GB
MediumF0
Q5_K_M
5
19.4 GB
HighF0
Q6_K
6
22.1 GB
HighF0
Q8_0
8
28.9 GB
Very HighF0
F16
16
55.4 GB
MaximumF0

Upgrade options

Hardware that runs Qwen3.5 27B well

AMDRX 7900 XTX 24GBBest value
C41.5 tok/s decode

~$999 MSRP

AppleMac mini M4 64GBBudget pick
C5.2 tok/s decode

~$1,099 MSRP

NVIDIARTX 5090 32GBBiggest leap
B72.9 tok/s decode

~$1,999 MSRP

AMDAMD Instinct MI100 32GBAMD upgrade
B48.5 tok/s decode

 

See all results for RX 9060 8GBSee all hardware for Qwen3.5 27B