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⇱ Pixtral Large 124B on MacBook Pro M4 Pro 24GB? No — Alterna…

Can Pixtral Large 124B run on MacBook Pro M4 Pro 24GB?

NO — Won't Fit

F0Won't run
▲Estimated — low-sample bucket· few comparable runs

Pixtral Large 124B needs ~84.5 GB but MacBook Pro M4 Pro 24GB only has 17.3 GB. Try a smaller quantization or lighter model.

Runtime: llama.cppCapacity: No fitBandwidth: LowStack: StandardBottleneck: Memory capacity
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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) — 84.5 GB, exceeds 17.3 GB available
84.5 GB required17.3 GB available
488% VRAM needed

67.2 GB over capacity — needs offload or smaller quantization

Fit status

Too heavy

Decode

2.4 tok/s

TTFT

79084 ms

Safe context

4K

Memory

84.5 GB / 17.3 GB

Offload

80%

Memory breakdown

Weights75.6 GB
KV Cache5.4 GB
Runtime0.9 GB
Headroom2.6 GB

See how fast it feels

With memory offload — actual speed may be lower
See how fast it feelsPixtral Large 124B on MacBook Pro M4 Pro 24GB
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: 2.4 tok/s decode · 79.1s TTFT (warm) · 6 tok/s prefill

What limits this setup

Usable shared or unified memory is the main blocker for this model.

Not enough usable memory

The model needs 84.5 GB, but this setup only exposes 17.3 GB of usable shared or unified memory.

Best improvement path

Move to a larger memory pool

A larger unified-memory SKU or a discrete high-bandwidth GPU is the cleanest way to make this model practical.

Performance by workload

WorkloadGradeFitDecodeTTFTContext
ChatFToo heavy2.4 tok/s43137 ms4K
CodingFToo heavy2.4 tok/s79084 ms4K
Agentic CodingFToo heavy2.4 tok/s115031 ms4K
ReasoningFToo heavy2.4 tok/s93463 ms4K
RAGFToo heavy2.4 tok/s143789 ms4K

Quantization options

How Pixtral Large 124B (124B params) fits at each quantization level on MacBook Pro M4 Pro 24GB (17.3 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
48.4 GB
LowF0
Q3_K_S
3
60.8 GB
LowF0
NVFP4
4
69.4 GB
MediumF0
Q4_K_M
4
75.6 GB
MediumF0
Q5_K_M
5
89.3 GB
HighF0
Q6_K
6
101.7 GB
HighF0
Q8_0
8
132.7 GB
Very HighF0
F16
16
254.2 GB
MaximumF0

Upgrade options

Hardware that runs Pixtral Large 124B well

MacBook Pro M3 Max 128GBBudget pick
128 GB Unified (+104)400 GB/s (+127)
A
Makes the model fit on the accelerator instead of staying completely out of reach.3.2 tok/s decode

Makes the model fit on the accelerator instead of staying completely out of reach.

Removes host-memory offload, which is usually the single biggest latency and throughput win.

~$2,499 MSRP

Mac Studio M2 Ultra 128GBBest value
128 GB Unified (+104)800 GB/s (+527)
A
Makes the model fit on the accelerator instead of staying completely out of reach.6.2 tok/s decode

Makes the model fit on the accelerator instead of staying completely out of reach.

Removes host-memory offload, which is usually the single biggest latency and throughput win.

~$3,999 MSRP

Mac Studio M1 Ultra 128GBApple upgrade
128 GB Unified (+104)800 GB/s (+527)
A
Makes the model fit on the accelerator instead of staying completely out of reach.5.9 tok/s decode

Makes the model fit on the accelerator instead of staying completely out of reach.

Removes host-memory offload, which is usually the single biggest latency and throughput win.

~$3,999 MSRP

AMD Instinct MI300A 128GBBiggest leap
128 GB VRAM (+104)5300 GB/s (+5027)
S
Makes the model fit on the accelerator instead of staying completely out of reach.53.3 tok/s decode

Makes the model fit on the accelerator instead of staying completely out of reach.

Removes host-memory offload, which is usually the single biggest latency and throughput win.

~$12,000 MSRP

Frequently asked questions

See all results for MacBook Pro M4 Pro 24GBSee all hardware for Pixtral Large 124B