Mixtral 8x7B needs ~38.4 GB VRAM. MacBook Pro M4 Pro 64GB has 46.1 GB. With Q4_K_M quantization, expect ~14 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
Tight fit
Decode
15.1 tok/s
TTFT
12804 ms
Safe context
33K
Memory
38.4 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 | B | Runs well | 14.1 tok/s | 7508 ms | 33K |
| Coding | B | Tight fit | 14.1 tok/s | 13764 ms | 33K |
| Agentic Coding | B | Tight fit | 14.1 tok/s | 20021 ms | 33K |
| Reasoning | B | Tight fit | 14.1 tok/s | 16267 ms | 33K |
| RAG | B | Tight fit | 14.1 tok/s | 25026 ms | 33K |
How Mixtral 8x7B (47B params) fits at each quantization level on MacBook Pro M4 Pro 64GB (46.1 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 18.3 GB | Low | B62 |
Q3_K_S | 3 | 23.0 GB | Low | B64 |
NVFP4 | 4 |
Copy-paste commands to run Mixtral 8x7B on your machine.
Run
ollama run mixtralUpgrade options
Raises estimated decode speed by about 64%.
Adds memory headroom for longer context windows and future model growth.
~$2,499 MSRP
Adds memory headroom for longer context windows and future model growth.
~$3,199 MSRP
Raises estimated decode speed by about 166%.
Adds memory headroom for longer context windows and future model growth.
~$3,999 MSRP
Yes, MacBook Pro M4 Pro 64GB can run Mixtral 8x7B with a B grade (Tight fit). Expected decode speed: 14.1 tok/s.
Mixtral 8x7B (47B parameters) requires approximately 38.4 GB of memory with Q4_K_M quantization.
The recommended quantization for Mixtral 8x7B is Q4_K_M, which balances quality and memory efficiency.
On MacBook Pro M4 Pro 64GB, Mixtral 8x7B achieves approximately 14.1 tokens per second decode speed with a time-to-first-token of 13764ms using Q4_K_M quantization.
For coding workloads, Mixtral 8x7B on MacBook Pro M4 Pro 64GB receives a B grade with 14.1 tok/s and 33K context.
On MacBook Pro M4 Pro 64GB, Mixtral 8x7B can safely use up to 33K tokens of context. The model's official context limit is 33K, 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/mixtral-8x7b-on-m4-pro-64gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
26.3 GB |
| Medium |
| B64 |
Q4_K_M | 4 | 28.7 GB | Medium | B63 |
Q5_K_MBest for your GPU | 5 | 33.8 GB | High | B63 |
Q6_K | 6 | 38.5 GB | High | F0 |
Q8_0 | 8 | 50.3 GB | Very High | F0 |
F16 | 16 | 96.4 GB | Maximum | F0 |
Not always. MacBook Pro M4 Pro 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.