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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-Coder 30B A3B Instruct/on Intel Arc A770 16GB

Can it run?

Can Intel Arc A770 16GB run Qwen3-Coder 30B A3B Instruct?

FWon't run

Too heavy

Using Q4_K_M in Ollama

Capabilities:

Fit status

Too heavy

Decode

35.0 tok/s

TTFT

5525 ms

Safe context

12K

Memory

22.2 GB / 16.0 GB

Memory breakdown

Weights18.6 GB
KV Cache0.8 GB
Runtime1.2 GB
Headroom1.6 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingFToo heavy35.0 tok/s8037 ms23K
ChatFToo heavy35.0 tok/s3014 ms6K
CodingFToo heavy35.0 tok/s5525 ms12K
RAGFToo heavy35.0 tok/s10046 ms23K
ReasoningFToo heavy35.0 tok/s6530 ms12K

Quantization options

How Qwen3-Coder 30B A3B Instruct (30.5B params) fits at each quantization level on Intel Arc A770 16GB (16.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
11.9 GB
LowC45
Q3_K_S
3
14.9 GB
LowC45
NVFP4
4
17.1 GB
MediumF0
Q4_K_M
4
18.6 GB
MediumF0
Q5_K_M
5
22.0 GB
HighF0
Q6_K
6
25.0 GB
HighF0
Q8_0
8
32.6 GB
Very HighF0
F16
16
62.5 GB
MaximumF0

Upgrade options

Hardware that runs Qwen3-Coder 30B A3B Instruct well

AppleMacBook Pro M4 32GBBest value
C11.9 tok/s decode

~$799 MSRP

AppleMac mini M4 64GBBudget pick
C12 tok/s decode

~$1,099 MSRP

AMDAMD Instinct MI100 32GBBiggest leap
B111 tok/s decode

 

IntelIntel Arc Pro B60 24GBIntel upgrade
C34.2 tok/s decode

 

See all results for Intel Arc A770 16GBSee all hardware for Qwen3-Coder 30B A3B Instruct