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.
RX 6800 16GB wins for coding in balanced mode
Based on model fit, speed, and quality across top recommendations.
RX 6800 16GB
WinnerSQwen 3.5 9B
llama.cppQ4_K_MRuns well
10.2 GB / 16.0 GB
55.1 tok/s58K ctx
ANemotron Nano 9B v2
llama.cppQ4_K_MRuns well
10.4 GB / 16.0 GB
55.1 tok/s52K ctx
AGemma 4 E4B
llama.cppQ4_K_MRuns well
8.7 GB / 16.0 GB
47.0 tok/s108K ctx
RTX 4060 Ti 16GB
SQwen 3.5 9B
llama.cppQ4_K_MRuns well
10.2 GB / 16.0 GB
37.9 tok/s58K ctx
ANemotron Nano 9B v2
llama.cppQ4_K_MRuns well
10.4 GB / 16.0 GB
37.9 tok/s52K ctx
AGemma 4 E4B
llama.cppQ4_K_MRuns well
8.7 GB / 16.0 GB
31.0 tok/s108K ctx
Quick comparison
| Metric | RX 6800 16GB | RTX 4060 Ti 16GB |
|---|---|---|
| Models that fit | 3 | 3 |
| Avg decode tok/s | 52.4 | 35.6 |
| Best grade score | 95 | 94 |