MacBook Pro M4 Max 96GBOpção econômica
96 GB Unified (+32)
B
Adds memory headroom for longer context windows and future model growth.24.7 tok/s decodificação
Adds memory headroom for longer context windows and future model growth.
~$2,499 MSRP
Can Mixtral 8x7B run on Mac Studio M2 Ultra 64GB?
YES — Tight Fit
B66Good
Estimated from fit model
Mixtral 8x7B needs ~38.4 GB VRAM. Mac Studio M2 Ultra 64GB has 46.1 GB. With Q4_K_M quantization, expect ~31 tok/s.
Runtime: llama.cppCapacity: TightBandwidth: HighStack: StandardBottleneck: Balanced
Operating mode
Choose the run profile you care about
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
Q4_K_M (Medium quality) — 38.4 GB, 33.4 tok/s, Tight fit
38.4 GB required46.1 GB available
83% VRAM used
Fit status
Tight fit
Decode
33.4 tok/s
TTFT
5801 ms
Safe context
33K
Memory
38.4 GB / 46.1 GB
Memory breakdown
Weights28.7 GB
KV Cache2.0 GB
Runtime0.9 GB
Headroom6.9 GB
See how fast it feels
See how fast it feelsMixtral 8x7B on Mac Studio M2 Ultra 64GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step.
Given information:
- Speed = 60 mph (miles per hour)
- Time = 2.5 hours
Formula: Distance = Speed x Time
Calculation:
Distance = 60 mph x 2.5 h
= 150 miles
The train travels 150 miles.
Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time.
Breakdown:
- First half: 1.25 hours at 60 mph = 75 miles
- Stop: 20 minutes (no distance)
- Second half: 1.25 hours at 60 mph = 75 miles
Total distance: 150 miles (same)
Total time: 2.5 h + 0.33 h = 2.83 hours
Average speed: 150 / 2.83 = 53 mph
The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 33.4 tok/s decode · 5.8s TTFT (warm) · 83 tok/s prefill
What limits this setup
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.
Best improvement path
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Runs well | 31.0 tok/s | 3401 ms | 33K |
| Coding | B | Tight fit | 31.0 tok/s | 6236 ms | 33K |
| Agentic Coding | B | Tight fit | 31.0 tok/s | 9070 ms | 33K |
| Reasoning | B | Tight fit | 31.0 tok/s | 7369 ms | 33K |
| RAG | B | Tight fit | 31.0 tok/s | 11338 ms | 33K |
Quantization options
How Mixtral 8x7B (47B params) fits at each quantization level on Mac Studio M2 Ultra 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 | 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 |
Get started
Copy-paste commands to run Mixtral 8x7B on your machine.
Run
ollama run mixtralOpções de upgrade
Hardware que roda bem Mixtral 8x7B
Frequently asked questions
Can Mac Studio M2 Ultra 64GB run Mixtral 8x7B?
Yes, Mac Studio M2 Ultra 64GB can run Mixtral 8x7B with a B grade (Tight fit). Expected decode speed: 31.0 tok/s.
How much VRAM does Mixtral 8x7B need?
Mixtral 8x7B (47B parameters) requires approximately 38.4 GB of memory with Q4_K_M quantization.
What is the best quantization for Mixtral 8x7B?
The recommended quantization for Mixtral 8x7B is Q4_K_M, which balances quality and memory efficiency.
What speed will Mixtral 8x7B run at on Mac Studio M2 Ultra 64GB?
On Mac Studio M2 Ultra 64GB, Mixtral 8x7B achieves approximately 31.0 tokens per second decode speed with a time-to-first-token of 6236ms using Q4_K_M quantization.
Can Mac Studio M2 Ultra 64GB run Mixtral 8x7B for coding?
For coding workloads, Mixtral 8x7B on Mac Studio M2 Ultra 64GB receives a B grade with 31.0 tok/s and 33K context.
What context window can Mixtral 8x7B use on Mac Studio M2 Ultra 64GB?
On Mac Studio M2 Ultra 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.
Is unified memory on Mac Studio M2 Ultra 64GB as fast as VRAM for Mixtral 8x7B?
Not always. Mac Studio M2 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.
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<iframe src="https://willitrunai.com/embed/mixtral-8x7b-on-m2-ultra-64gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
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