Qwen3-Coder 30B A3B Instruct needs ~31.3 GB VRAM. MacBook Pro M2 Max 96GB has 69.1 GB. With Q4_K_M quantization, expect ~35 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
35.1 tok/s
TTFT
5519 ms
Safe context
256K
Memory
31.3 GB / 69.1 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 | 35.1 tok/s | 3010 ms | 256K |
| Coding | S | Runs well | 35.1 tok/s | 5519 ms | 256K |
| Agentic Coding | S | Runs well | 35.1 tok/s | 8027 ms | 256K |
| Reasoning | S | Runs well | 35.1 tok/s | 6522 ms | 256K |
| RAG | S | Runs well | 35.1 tok/s | 10034 ms | 256K |
How Qwen3-Coder 30B A3B Instruct (30.5B params) fits at each quantization level on MacBook Pro M2 Max 96GB (69.1 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 11.9 GB | Low | A84 |
Q3_K_S | 3 | 14.9 GB | Low | A85 |
NVFP4 | 4 |
Copy-paste commands to run Qwen3-Coder 30B A3B Instruct on your machine.
Run
ollama run qwen3-coderYes, MacBook Pro M2 Max 96GB can run Qwen3-Coder 30B A3B Instruct with a S grade (Runs well). Expected decode speed: 35.1 tok/s.
Qwen3-Coder 30B A3B Instruct (30.5B parameters) requires approximately 31.3 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 MacBook Pro M2 Max 96GB, Qwen3-Coder 30B A3B Instruct achieves approximately 35.1 tokens per second decode speed with a time-to-first-token of 5519ms using Q4_K_M quantization.
For coding workloads, Qwen3-Coder 30B A3B Instruct on MacBook Pro M2 Max 96GB receives a S grade with 35.1 tok/s and 256K context.
On MacBook Pro M2 Max 96GB, Qwen3-Coder 30B A3B Instruct can safely use up to 256K 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-m2-max-96gb" 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 |
| S85 |
Q4_K_M | 4 | 18.6 GB | Medium | S86 |
Q5_K_M | 5 | 22.0 GB | High | S86 |
Q6_K | 6 | 25.0 GB | High | S87 |
Q8_0Best for your GPU | 8 | 32.6 GB | Very High | S89 |
F16 | 16 | 62.5 GB | Maximum | F0 |
Not always. MacBook Pro M2 Max 96GB 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.