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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 RTX PRO 4000 Blackwell 24GB

Can it run?

Can RTX PRO 4000 Blackwell 24GB run Devstral Small 1.1?

CUsable

Tight fit

Using Q4_K_M in Ollama

Capabilities:

Fit status

Tight fit

Decode

38.6 tok/s

TTFT

5021 ms

Safe context

17K

Memory

22.0 GB / 24.0 GB

Memory breakdown

Weights14.6 GB
KV Cache3.8 GB
Runtime1.2 GB
Headroom2.4 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCRuns with offload (needs ~1 GB host RAM)36.5 tok/s7721 ms30K
ChatCTight fit38.6 tok/s2739 ms10K
CodingCTight fit38.6 tok/s5021 ms17K
RAGCRuns with offload (needs ~1 GB host RAM)36.5 tok/s9651 ms30K
ReasoningCTight fit38.6 tok/s5934 ms17K

Quantization options

How Devstral Small 1.1 (24B params) fits at each quantization level on RTX PRO 4000 Blackwell 24GB (24.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
9.4 GB
LowD38
Q3_K_S
3
11.8 GB
LowD40
NVFP4
4
13.4 GB
MediumC41
Q4_K_M
4
14.6 GB
MediumC42
Q5_K_MBest for your GPU
5
17.3 GB
HighC44
Q6_K
6
19.7 GB
HighC44
Q8_0
8
25.7 GB
Very HighF0
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 5090 32GBBudget pick
B82 tok/s decode

~$1,999 MSRP

AppleMacBook Pro M4 Max 48GBBest value
C23.5 tok/s decode

~$2,499 MSRP

AMDAMD Instinct MI100 32GBBiggest leap
B54.5 tok/s decode

 

NVIDIARTX PRO 4500 Blackwell 32GBNVIDIA upgrade
B51.4 tok/s decode

 

See all results for RTX PRO 4000 Blackwell 24GBSee all hardware for Devstral Small 1.1