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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/Codestral 2 25.08/on RTX 3060 12GB

Can it run?

Can RTX 3060 12GB run Codestral 2 25.08?

FWon't run

Too heavy

Using Q4_K_M in vLLM

Capabilities:

Fit status

Too heavy

Decode

17.7 tok/s

TTFT

10935 ms

Safe context

9K

Memory

20.5 GB / 12.0 GB

Memory breakdown

Weights13.4 GB
KV Cache3.4 GB
Runtime2.4 GB
Headroom1.2 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingFToo heavy17.7 tok/s15905 ms16K
ChatFToo heavy17.7 tok/s5964 ms5K
CodingFToo heavy17.7 tok/s10935 ms9K
RAGFToo heavy17.7 tok/s19881 ms16K
ReasoningFToo heavy17.7 tok/s12923 ms9K

Quantization options

How Codestral 2 25.08 (22B params) fits at each quantization level on RTX 3060 12GB (12.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
8.6 GB
LowC44
Q3_K_S
3
10.8 GB
LowC44
NVFP4
4
12.3 GB
MediumF0
Q4_K_M
4
13.4 GB
MediumF0
Q5_K_M
5
15.8 GB
HighF0
Q6_K
6
18.0 GB
HighF0
Q8_0
8
23.5 GB
Very HighF0
F16
16
45.1 GB
MaximumF0

Upgrade options

Hardware that runs Codestral 2 25.08 well

AppleMacBook Pro M4 32GBBest value
C6.4 tok/s decode

~$799 MSRP

AMDRX 7900 XTX 24GBBudget pick
C51.5 tok/s decode

~$999 MSRP

NVIDIARTX 5090 32GBBiggest leap
B89.5 tok/s decode

~$1,999 MSRP

NVIDIARTX PRO 4500 Blackwell 32GBNVIDIA upgrade
B56.1 tok/s decode

 

See all results for RTX 3060 12GBSee all hardware for Codestral 2 25.08