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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 3080 10GB

Can it run?

Can RTX 3080 10GB run Codestral 2 25.08?

FWon't run

Too heavy

Using Q4_K_M in vLLM

Capabilities:

Fit status

Too heavy

Decode

43.0 tok/s

TTFT

4498 ms

Safe context

8K

Memory

20.3 GB / 10.0 GB

Memory breakdown

Weights13.4 GB
KV Cache3.4 GB
Runtime2.4 GB
Headroom1.0 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingFToo heavy43.0 tok/s6543 ms14K
ChatFToo heavy43.0 tok/s2454 ms4K
CodingFToo heavy43.0 tok/s4498 ms8K
RAGFToo heavy43.0 tok/s8178 ms14K
ReasoningFToo heavy43.0 tok/s5316 ms8K

Quantization options

How Codestral 2 25.08 (22B params) fits at each quantization level on RTX 3080 10GB (10.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
8.6 GB
LowC44
Q3_K_S
3
10.8 GB
LowF0
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 3080 10GBSee all hardware for Codestral 2 25.08