Can Qwen 3 8B run on Mac Studio M1 Ultra 128GB?

YES — Runs Great

S87Excellent
Estimated from fit model

Qwen 3 8B needs ~21.8 GB VRAM. Mac Studio M1 Ultra 128GB has 92.2 GB. With Q4_K_M quantization, expect ~90 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: HighStack: StandardBottleneck: Balanced
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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.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) 21.8 GB, 96.9 tok/s, Runs well
21.8 GB required92.2 GB available
24% VRAM used

Fit status

Runs well

Decode

96.9 tok/s

TTFT

1997 ms

Safe context

131K

Memory

21.8 GB / 92.2 GB

Memory breakdown

Weights4.9 GB
KV Cache2.2 GB
Runtime0.9 GB
Headroom13.8 GB

See how fast it feels

See how fast it feelsQwen 3 8B on Mac Studio M1 Ultra 128GB
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: 96.9 tok/s decode · 2.0s TTFT (warm) · 242 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

WorkloadGradeFitDecodeTTFTContext
ChatSRuns well96.9 tok/s1089 ms131K
CodingSRuns well90.2 tok/s2147 ms131K
Agentic CodingSRuns well96.9 tok/s2905 ms131K
ReasoningSRuns well96.9 tok/s2361 ms131K
RAGSRuns well96.9 tok/s3632 ms131K

Quantization options

How Qwen 3 8B (8B params) fits at each quantization level on Mac Studio M1 Ultra 128GB (92.2 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
3.1 GB
LowA79
Q3_K_S
3
3.9 GB
LowA79
NVFP4
4
4.5 GB
MediumA79
Q4_K_M
4
4.9 GB
MediumA79
Q5_K_M
5
5.8 GB
HighA79
Q6_K
6
6.6 GB
HighA79
Q8_0
8
8.6 GB
Very HighA79
F16Best for your GPU
16
16.4 GB
MaximumA80

Get started

Copy-paste commands to run Qwen 3 8B on your machine.

Run

ollama run qwen3:8b

Your hardware

More models your Mac Studio M1 Ultra 128GB can run

ModelParamsGradeDecodeCapabilities
MistralDevstral 2 123B Instruct123BS6 tok/s
AlibabaQwen3-Coder 30B A3B Instruct30.5BS66.5 tok/s
AlibabaQwen 3.5 27B27BS28.9 tok/s
AlibabaQwen 3.6 27B27BS21.9 tok/s
AlibabaQwen 3.5 122B A10B122BS27.4 tok/s

Frequently asked questions

Can Mac Studio M1 Ultra 128GB run Qwen 3 8B?

Yes, Mac Studio M1 Ultra 128GB can run Qwen 3 8B with a S grade (Runs well). Expected decode speed: 90.2 tok/s.

How much VRAM does Qwen 3 8B need?

Qwen 3 8B (8B parameters) requires approximately 21.8 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen 3 8B?

The recommended quantization for Qwen 3 8B is Q4_K_M, which balances quality and memory efficiency.

What speed will Qwen 3 8B run at on Mac Studio M1 Ultra 128GB?

On Mac Studio M1 Ultra 128GB, Qwen 3 8B achieves approximately 90.2 tokens per second decode speed with a time-to-first-token of 2147ms using Q4_K_M quantization.

Can Mac Studio M1 Ultra 128GB run Qwen 3 8B for coding?

For coding workloads, Qwen 3 8B on Mac Studio M1 Ultra 128GB receives a S grade with 90.2 tok/s and 131K context.

What context window can Qwen 3 8B use on Mac Studio M1 Ultra 128GB?

On Mac Studio M1 Ultra 128GB, Qwen 3 8B can safely use up to 131K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.

Is unified memory on Mac Studio M1 Ultra 128GB as fast as VRAM for Qwen 3 8B?

Not always. Mac Studio M1 Ultra 128GB 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.

See all results for Mac Studio M1 Ultra 128GBSee all hardware for Qwen 3 8B
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<iframe src="https://willitrunai.com/embed/qwen-3-8b-on-m1-ultra-128gb" 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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