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URL: https://willitrunai.com/compare?a=m1-16gb&b=m2-pro-16gb

⇱ Compare GPUs for Local AI — Side-by-Side Hardware Analysis | Will It Run AI


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Compare local AI hardware with workload-aware output.

Operating mode: Balanced. Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.

MacBook Pro M2 Pro 16GB wins for coding in balanced mode

Based on model fit, speed, and quality across top recommendations.

MacBook Air M1 16GB

SQwen 3.5 9B
llama.cppQ4_K_MTight fit
10.3 GB / 11.5 GB
8.0 tok/s25K ctx
AGemma 4 E4B
llama.cppQ4_K_MRuns well
8.8 GB / 11.5 GB
6.8 tok/s50K ctx
ACodeGeeX 4 9B
llama.cppQ4_K_MRuns well
8.7 GB / 11.5 GB
8.1 tok/s89K ctx

MacBook Pro M2 Pro 16GB

Winner
SQwen 3.5 9B
llama.cppQ4_K_MTight fit
10.3 GB / 11.5 GB
27.4 tok/s25K ctx
AGemma 4 E4B
llama.cppQ4_K_MRuns well
8.8 GB / 11.5 GB
23.4 tok/s50K ctx
ACodeGeeX 4 9B
llama.cppQ4_K_MRuns well
8.7 GB / 11.5 GB
27.9 tok/s89K ctx

Quick comparison

MetricMacBook Air M1 16GBMacBook Pro M2 Pro 16GB
Models that fit33
Avg decode tok/s7.626.2
Best grade score8892