Compare
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.
Mac mini M2 24GB wins for coding in balanced mode
Based on model fit, speed, and quality across top recommendations.
Mac mini M2 24GB
WinnerSQwen 3.5 9B
llama.cppQ4_K_MRuns well
11.2 GB / 17.3 GB
12.7 tok/s60K ctx
ANemotron Nano 9B v2
llama.cppQ4_K_MRuns well
11.4 GB / 17.3 GB
12.7 tok/s54K ctx
AGemma 4 E4B
llama.cppQ4_K_MRuns well
9.7 GB / 17.3 GB
10.9 tok/s111K ctx
MacBook Pro M2 Pro 32GB
SDevstral Small 2 24B Instruct
llama.cppQ4_K_MTight fit
21.4 GB / 23.0 GB
10.3 tok/s27K ctx
SQwen 3.6 27B
llama.cppQ4_K_MTight fit
21.8 GB / 23.0 GB
7.0 tok/s36K ctx
SQwen 3.5 9B
llama.cppQ4_K_MRuns well
12.0 GB / 23.0 GB
27.4 tok/s96K ctx
Quick comparison
| Metric | Mac mini M2 24GB | MacBook Pro M2 Pro 32GB |
|---|---|---|
| Models that fit | 3 | 3 |
| Avg decode tok/s | 12.1 | 14.9 |
| Best grade score | 91 | 91 |
