Qwen3-VL 30B A3B Instruct needs ~26.3 GB VRAM. MacBook Pro M4 Max 48GB has 34.6 GB. With Q4_K_M quantization, expect ~50 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs well
Decode
53.8 tok/s
TTFT
3599 ms
Safe context
106K
Memory
26.3 GB / 34.6 GB
This setup is broadly balanced for this model.
Shared-memory contention still exists
The OS, browser, and inference runtime all compete for the same physical memory pool, so real-world headroom is less forgiving than raw capacity suggests.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | S | Runs well | 49.5 tok/s | 2135 ms | 106K |
| Coding | S | Runs well | 49.5 tok/s | 3914 ms | 106K |
| Agentic Coding | S | Runs well | 49.5 tok/s | 5693 ms | 106K |
| Reasoning | S | Runs well | 49.5 tok/s | 4625 ms | 106K |
| RAG | S | Runs well | 49.5 tok/s | 7116 ms | 106K |
How Qwen3-VL 30B A3B Instruct (30B params) fits at each quantization level on MacBook Pro M4 Max 48GB (34.6 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 11.7 GB | Low | S89 |
Q3_K_S | 3 | 14.7 GB | Low | S90 |
NVFP4 | 4 |
Copy-paste commands to run Qwen3-VL 30B A3B Instruct on your machine.
Run
lms load Qwen3-VL-30B-A3B-Instruct && lms server startYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
 Qwen3-Coder 30B A3B Instruct | 30.5B | S | 52 tok/s | |
| Qwen 3.6 35B A3B | 35B | S | 43.7 tok/s |
Yes, MacBook Pro M4 Max 48GB can run Qwen3-VL 30B A3B Instruct with a S grade (Runs well). Expected decode speed: 49.5 tok/s.
Qwen3-VL 30B A3B Instruct (30B parameters) requires approximately 26.3 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen3-VL 30B A3B Instruct is Q4_K_M, which balances quality and memory efficiency.
On MacBook Pro M4 Max 48GB, Qwen3-VL 30B A3B Instruct achieves approximately 49.5 tokens per second decode speed with a time-to-first-token of 3914ms using Q4_K_M quantization.
For coding workloads, Qwen3-VL 30B A3B Instruct on MacBook Pro M4 Max 48GB receives a S grade with 49.5 tok/s and 106K context.
On MacBook Pro M4 Max 48GB, Qwen3-VL 30B A3B Instruct can safely use up to 106K tokens of context. The model's official context limit is 256K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/qwen-3-vl-30b-a3b-on-m4-max-48gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
16.8 GB |
| Medium |
| S91 |
Q4_K_M | 4 | 18.3 GB | Medium | S91 |
Q5_K_M | 5 | 21.6 GB | High | S91 |
Q6_KBest for your GPU | 6 | 24.6 GB | High | S91 |
Q8_0 | 8 | 32.1 GB | Very High | F0 |
F16 | 16 | 61.5 GB | Maximum | F0 |
Not always. MacBook Pro M4 Max 48GB can often fit larger models thanks to unified memory, but a discrete GPU with dedicated high-bandwidth VRAM may still decode faster once the model fits. For this combination, the important distinction is capacity versus sustained throughput.