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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 MacBook Air M2 16GB

Can it run?

Can MacBook Air M2 16GB run Codestral 2 25.08?

FWon't run

Too heavy

Using Q4_K_M in vLLM

Capabilities:

Fit status

Too heavy

Decode

4.8 tok/s

TTFT

39971 ms

Safe context

9K

Memory

21.0 GB / 11.5 GB

Memory breakdown

Weights13.4 GB
KV Cache3.4 GB
Runtime2.4 GB
Headroom1.7 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingFToo heavy4.8 tok/s58140 ms15K
ChatFToo heavy4.8 tok/s21802 ms5K
CodingFToo heavy4.8 tok/s39971 ms9K
RAGFToo heavy4.8 tok/s72674 ms15K
ReasoningFToo heavy4.8 tok/s47238 ms9K

Quantization options

How Codestral 2 25.08 (22B params) fits at each quantization level on MacBook Air M2 16GB (11.5 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

AppleMacBook Pro M4 Max 48GBApple upgrade
C25.6 tok/s decode

~$2,499 MSRP

See all results for MacBook Air M2 16GBSee all hardware for Codestral 2 25.08