NVIDIA A100 80GBOpção econômica2039 GB/s (+1220)
B
Raises estimated decode speed by about 207%.123.2 tok/s decodificação
Raises estimated decode speed by about 207%.
~$15,000 MSRP
Can Mixtral 8x7B run on Mac Studio M3 Ultra 96GB?
YES — Runs Great
B68Good
Estimated from fit model
Mixtral 8x7B needs ~41.9 GB VRAM. Mac Studio M3 Ultra 96GB has 69.1 GB. With Q4_K_M quantization, expect ~40 tok/s.
Runtime: llama.cppCapacity: RoomyBandwidth: 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) — 41.9 GB, 40.1 tok/s, Runs well
41.9 GB required69.1 GB available
61% VRAM used
Fit status
Runs well
Decode
40.1 tok/s
TTFT
4833 ms
Safe context
33K
Memory
41.9 GB / 69.1 GB
Memory breakdown
Weights28.7 GB
KV Cache2.0 GB
Runtime0.9 GB
Headroom10.4 GB
See how fast it feels
See how fast it feelsMixtral 8x7B on Mac Studio M3 Ultra 96GB
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: 40.1 tok/s decode · 4.8s TTFT (warm) · 100 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 | 40.1 tok/s | 2636 ms | 33K |
| Coding | B | Runs well | 40.1 tok/s | 4833 ms | 33K |
| Agentic Coding | B | Runs well | 40.1 tok/s | 7030 ms | 33K |
| Reasoning | B | Runs well | 40.1 tok/s | 5712 ms | 33K |
| RAG | B | Runs well | 40.1 tok/s | 8787 ms | 33K |
Quantization options
How Mixtral 8x7B (47B params) fits at each quantization level on Mac Studio M3 Ultra 96GB (69.1 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 18.3 GB | Low | B58 |
Q3_K_S | 3 | 23.0 GB | Low | B59 |
NVFP4 | 4 | 26.3 GB | Medium | B60 |
Q4_K_M | 4 | 28.7 GB | Medium | B60 |
Q5_K_M | 5 | 33.8 GB | High | B62 |
Q6_K | 6 | 38.5 GB | High | B63 |
Q8_0Best for your GPU | 8 | 50.3 GB | Very High | B63 |
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 M3 Ultra 96GB run Mixtral 8x7B?
Yes, Mac Studio M3 Ultra 96GB can run Mixtral 8x7B with a B grade (Runs well). Expected decode speed: 40.1 tok/s.
How much VRAM does Mixtral 8x7B need?
Mixtral 8x7B (47B parameters) requires approximately 41.9 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 M3 Ultra 96GB?
On Mac Studio M3 Ultra 96GB, Mixtral 8x7B achieves approximately 40.1 tokens per second decode speed with a time-to-first-token of 4833ms using Q4_K_M quantization.
Can Mac Studio M3 Ultra 96GB run Mixtral 8x7B for coding?
For coding workloads, Mixtral 8x7B on Mac Studio M3 Ultra 96GB receives a B grade with 40.1 tok/s and 33K context.
What context window can Mixtral 8x7B use on Mac Studio M3 Ultra 96GB?
On Mac Studio M3 Ultra 96GB, 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 M3 Ultra 96GB as fast as VRAM for Mixtral 8x7B?
Not always. Mac Studio M3 Ultra 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.
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