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All estimates are approximations based on mathematical models and public specifications. Actual performance may vary. Do not make purchasing decisions based solely on these estimates.

Data sourced from Hugging Face, Ollama, and official model documentation. Model names and logos are trademarks of their respective owners.

© 2026 Will It Run AI — Fase Consulting Ibiza, S.L. (NIF: B57969656)

Home/Devstral Small 1.1/on Mac Studio M2 Ultra 64GB

Can it run?

Can Mac Studio M2 Ultra 64GB run Devstral Small 1.1?

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

31.7 tok/s

TTFT

6108 ms

Safe context

28K

Memory

26.5 GB / 46.1 GB

Memory breakdown

Weights14.6 GB
KV Cache3.8 GB
Runtime1.2 GB
Headroom6.9 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCRuns well31.7 tok/s8885 ms49K
ChatCRuns well31.7 tok/s3332 ms15K
CodingCRuns well31.7 tok/s6108 ms28K
RAGCRuns well31.7 tok/s11106 ms49K
ReasoningCRuns well31.7 tok/s7219 ms28K

Quantization options

How Devstral Small 1.1 (24B params) fits at each quantization level on Mac Studio M2 Ultra 64GB (46.1 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
9.4 GB
LowD34
Q3_K_S
3
11.8 GB
LowD35
NVFP4
4
13.4 GB
MediumD36
Q4_K_M
4
14.6 GB
MediumD36
Q5_K_M
5
17.3 GB
HighD37
Q6_K
6
19.7 GB
HighD39
Q8_0Best for your GPU
8
25.7 GB
Very HighC41
F16
16
49.2 GB
MaximumF0

Get started

Ollama
ollama run devstral-small-2507
HuggingFace
huggingface-cli download devstral-small-2507

Upgrade options

Hardware that runs Devstral Small 1.1 well

NVIDIARTX PRO 5000 Blackwell 48GBBudget pick
C77.1 tok/s decode

 

NVIDIARTX 6000 Ada 48GBBiggest leap
C53.8 tok/s decode

 

See all results for Mac Studio M2 Ultra 64GBSee all hardware for Devstral Small 1.1