MacBook Pro M4 32GBBest value
C11.9 tok/s decode
~$799 MSRP
Can it run?
Very compromised (needs ~2.1 GB host RAM)
Using Q4_K_M in Ollama
Fit status
Very compromised (needs ~2.1 GB host RAM)
Decode
35.2 tok/s
TTFT
5497 ms
Safe context
14K
Memory
22.6 GB / 20.0 GB
Offload
10%
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Very compromised (needs ~2.3 GB host RAM) | 34.9 tok/s | 8064 ms | 28K |
| Chat | C | Very compromised (needs ~2.1 GB host RAM) | 35.2 tok/s | 2998 ms | 7K |
| Coding | C | Very compromised (needs ~2.1 GB host RAM) | 35.2 tok/s | 5497 ms | 14K |
| RAG | C | Very compromised (needs ~2.3 GB host RAM) | 34.9 tok/s | 10080 ms | 28K |
| Reasoning | C | Very compromised (needs ~2.1 GB host RAM) | 35.2 tok/s | 6496 ms | 14K |
How Qwen3-Coder 30B A3B Instruct (30.5B params) fits at each quantization level on RTX 4000 Ada 20GB (20.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_KBest for your GPU | 2 | 11.9 GB | Low | C42 |
Q3_K_S | 3 | 14.9 GB | Low | C45 |
NVFP4 | 4 | 17.1 GB | Medium | C45 |
Q4_K_M | 4 | 18.6 GB | Medium | C45 |
Q5_K_M | 5 | 22.0 GB | High | F0 |
Q6_K | 6 | 25.0 GB | High | F0 |
Q8_0 | 8 | 32.6 GB | Very High | F0 |
F16 | 16 | 62.5 GB | Maximum | F0 |
ollama run qwen-3-coder-30b-a3bhuggingface-cli download qwen-3-coder-30b-a3bUpgrade options
~$799 MSRP
~$1,099 MSRP
RTX 5090 32GBNVIDIA upgrade~$1,999 MSRP