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 2060 6GB wins for coding in balanced mode
Based on model fit, speed, and quality across top recommendations.
GTX 1060 6GB
AGemma 4 E2B
llama.cppQ4_K_MTight fit
5.1 GB / 6.0 GB
30.0 tok/s42K ctx
SQwen 3.5 4B
llama.cppQ4_K_MRuns with offload (needs ~0.1 GB host RAM)
6.1 GB / 6.0 GB
34.6 tok/s15K ctx
AGranite 4.1 3B
llama.cppQ4_K_MRuns well
4.6 GB / 6.0 GB
42.0 tok/s35K ctx
RTX 2060 6GB
WinnerAGemma 4 E2B
llama.cppQ4_K_MTight fit
5.1 GB / 6.0 GB
50.7 tok/s42K ctx
SQwen 3.5 4B
llama.cppQ4_K_MRuns with offload (needs ~0.1 GB host RAM)
6.1 GB / 6.0 GB
56.0 tok/s15K ctx
AGranite 4.1 3B
llama.cppQ4_K_MRuns well
4.6 GB / 6.0 GB
42.0 tok/s35K ctx
Quick comparison
| Metric | GTX 1060 6GB | RTX 2060 6GB |
|---|---|---|
| Models that fit | 3 | 3 |
| Avg decode tok/s | 35.5 | 49.6 |
| Best grade score | 91 | 92 |