Compare
Compare local AI hardware with workload-aware output.
RTX 4090 24GB wins for coding in balanced mode
Based on model fit, speed, and quality across top recommendations.
RTX 3080 10GB
ACodeGeeX 4 9B
llama.cppq4-k-mRuns well
8.0 GB / 10.0 GB
115.1 tok/s68K ctx
AGemma 4 E4B
llama.cppq4-k-mRuns well
8.1 GB / 10.0 GB
96.4 tok/s40K ctx
ACodestral Mamba 7B
llama.cppq4-k-mRuns well
6.7 GB / 10.0 GB
98.0 tok/s126K ctx
Quick comparison
| Metric | RTX 3080 10GB | RTX 4090 24GB |
|---|---|---|
| Models that fit | 3 | 3 |
| Avg decode tok/s | 103.2 | 37.9 |
| Best grade score | 85 | 93 |