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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-VL 30B A3B Instruct/on RX 6950 XT 16GB

Can it run?

Can RX 6950 XT 16GB run Qwen3-VL 30B A3B Instruct?

FWon't run

Too heavy

Using Q4_K_M in vLLM

Capabilities:

Fit status

Too heavy

Decode

48.0 tok/s

TTFT

4030 ms

Safe context

11K

Memory

23.1 GB / 16.0 GB

Memory breakdown

Weights18.3 GB
KV Cache0.8 GB
Runtime2.4 GB
Headroom1.6 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingFToo heavy48.0 tok/s5862 ms22K
ChatFToo heavy48.0 tok/s2198 ms6K
CodingFToo heavy48.0 tok/s4030 ms11K
RAGFToo heavy48.0 tok/s7327 ms22K
ReasoningFToo heavy48.0 tok/s4763 ms11K

Quantization options

How Qwen3-VL 30B A3B Instruct (30B params) fits at each quantization level on RX 6950 XT 16GB (16.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
11.7 GB
LowC45
Q3_K_S
3
14.7 GB
LowC45
NVFP4
4
16.8 GB
MediumF0
Q4_K_M
4
18.3 GB
MediumF0
Q5_K_M
5
21.6 GB
HighF0
Q6_K
6
24.6 GB
HighF0
Q8_0
8
32.1 GB
Very HighF0
F16
16
61.5 GB
MaximumF0

Upgrade options

Hardware that runs Qwen3-VL 30B A3B Instruct well

AMDRX 7900 XTX 24GBBest value
C99.4 tok/s decode

~$999 MSRP

AppleMac mini M4 64GBBudget pick
C12.4 tok/s decode

~$1,099 MSRP

AMDAMD Instinct MI100 32GBBiggest leap
B114.8 tok/s decode

 

AMDAMD Instinct MI60 32GBAMD upgrade
B72.2 tok/s decode

 

See all results for RX 6950 XT 16GBSee all hardware for Qwen3-VL 30B A3B Instruct