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 4080 Super 16GB wins for coding in balanced mode
Based on model fit, speed, and quality across top recommendations.
Tesla P100 16GB
SQwen 3.5 9B
llama.cppQ4_K_MRuns well
10.2 GB / 16.0 GB
84.6 tok/s58K ctx
SNemotron Nano 9B v2
llama.cppQ4_K_MRuns well
10.4 GB / 16.0 GB
84.6 tok/s52K ctx
AGemma 4 E4B
llama.cppQ4_K_MRuns well
8.7 GB / 16.0 GB
72.1 tok/s108K ctx
RTX 4080 Super 16GB
WinnerSQwen 3.5 9B
llama.cppQ4_K_MRuns well
10.2 GB / 16.0 GB
115.5 tok/s58K ctx
SNemotron Nano 9B v2
llama.cppQ4_K_MRuns well
10.4 GB / 16.0 GB
110.0 tok/s52K ctx
AGemma 4 E4B
llama.cppQ4_K_MRuns well
8.7 GB / 16.0 GB
90.1 tok/s108K ctx
Quick comparison
| Metric | Tesla P100 16GB | RTX 4080 Super 16GB |
|---|---|---|
| Models that fit | 3 | 3 |
| Avg decode tok/s | 80.4 | 105.2 |
| Best grade score | 97 | 97 |