Hardware comparison
NVIDIA RTX 3090 (24GB) vs NVIDIA RTX 4090 (24GB) for local LLMs
How the two stack up for running open-source LLMs locally — memory, bandwidth, price, and how many of the 69 tracked models each one can run.
Scroll sideways to compare both machines. Keyboard: focus the table, then use the arrow keys. Metric names stay visible.
| Hardware | NVIDIA RTX 3090 (24GB) | NVIDIA RTX 4090 (24GB) |
|---|---|---|
| Memory | 24.0 GB | 24.0 GB |
| Bandwidth | 936 GB/s | 1008 GB/s (better for this comparison) |
| Price (approx) | $1,099 (better for this comparison)GPU only · host PC required, sold separately | $2,999GPU only · host PC required, sold separately |
| LLMs it runs | 51 of 69 | 51 of 69 |
| Best model it runs | Gemma 4 31BQ3_K_M · estimated 39–58 tok/s | Gemma 4 31BQ3_K_M · estimated 41–62 tok/s |
Both prices cover GPU cards only. A host PC is required and its cost is excluded. Prices are approximate catalog estimates; check current configurations and prices before buying.
Both estimated speeds use the same model and quant shown above. Estimates use 4,096 context tokens, llama.cpp and one stream.
The NVIDIA RTX 3090 (24GB) and NVIDIA RTX 4090 (24GB) run the same number of tracked models. Compare their ecosystem and purchase scope before price. The NVIDIA RTX 4090 (24GB) has more memory bandwidth (1008 GB/s). Higher bandwidth can help generation speed, but model, quant, architecture and runtime also affect the estimates.