Qwen3-Coder 30B A3B Instruct needs ~27.9 GB VRAM. Mac Studio M1 Ultra 64GB has 46.1 GB. With Q4_K_M quantization, expect ~61 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
66.5 tok/s
TTFT
2910 ms
Safe context
215K
Memory
27.9 GB / 46.1 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 | 66.5 tok/s | 1587 ms | 215K |
| Coding | S | Runs well | 61.2 tok/s | 3164 ms | 215K |
| Agentic Coding | S | Runs well | 66.5 tok/s | 4232 ms | 215K |
| Reasoning | S | Runs well | 66.5 tok/s | 3439 ms | 215K |
| RAG | S | Runs well | 66.5 tok/s | 5291 ms | 215K |
How Qwen3-Coder 30B A3B Instruct (30.5B params) fits at each quantization level on Mac Studio M1 Ultra 64GB (46.1 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 11.9 GB | Low | S87 |
Q3_K_S | 3 | 14.9 GB | Low | S88 |
NVFP4 | 4 |
Copy-paste commands to run Qwen3-Coder 30B A3B Instruct on your machine.
Run
ollama run qwen3-coderYes, Mac Studio M1 Ultra 64GB can run Qwen3-Coder 30B A3B Instruct with a S grade (Runs well). Expected decode speed: 61.2 tok/s.
Qwen3-Coder 30B A3B Instruct (30.5B parameters) requires approximately 27.9 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen3-Coder 30B A3B Instruct is Q4_K_M, which balances quality and memory efficiency.
On Mac Studio M1 Ultra 64GB, Qwen3-Coder 30B A3B Instruct achieves approximately 61.2 tokens per second decode speed with a time-to-first-token of 3164ms using Q4_K_M quantization.
For coding workloads, Qwen3-Coder 30B A3B Instruct on Mac Studio M1 Ultra 64GB receives a S grade with 61.2 tok/s and 215K context.
On Mac Studio M1 Ultra 64GB, Qwen3-Coder 30B A3B Instruct can safely use up to 215K 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-coder-30b-a3b-on-m1-ultra-64gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
17.1 GB |
| Medium |
| S89 |
Q4_K_M | 4 | 18.6 GB | Medium | S89 |
Q5_K_M | 5 | 22.0 GB | High | S91 |
Q6_K | 6 | 25.0 GB | High | S92 |
Q8_0Best for your GPU | 8 | 32.6 GB | Very High | S91 |
F16 | 16 | 62.5 GB | Maximum | F0 |
Not always. Mac Studio M1 Ultra 64GB 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.