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.
RTX 3090 24GB wins for coding in balanced mode
Based on model fit, speed, and quality across top recommendations.
RTX A4500 20GB
SQwen 3.5 9B
llama.cppQ4_K_MRuns well
10.6 GB / 20.0 GB
97.7 tok/s85K ctx
SCodestral 2 25.08
llama.cppQ4_K_MTight fit
18.8 GB / 20.0 GB
35.7 tok/s24K ctx
ANemotron Nano 9B v2
llama.cppQ4_K_MRuns well
10.8 GB / 20.0 GB
97.7 tok/s76K ctx
RTX 3090 24GB
WinnerSDevstral Small 2 24B Instruct
llama.cppQ4_K_MTight fit
20.4 GB / 24.0 GB
36.7 tok/s40K ctx
SCodestral 2 25.08
llama.cppQ4_K_MRuns well
19.2 GB / 24.0 GB
38.2 tok/s48K ctx
SQwen 3.6 27B
llama.cppQ4_K_MTight fit
20.7 GB / 24.0 GB
19.6 tok/s69K ctx
Quick comparison
| Metric | RTX A4500 20GB | RTX 3090 24GB |
|---|---|---|
| Models that fit | 3 | 3 |
| Avg decode tok/s | 77.0 | 31.5 |
| Best grade score | 95 | 92 |