RTX 3060 vs 4060 vs 3090 for Local LLMs — Which Should You Buy?
For local AI, the winner isn't the newest card — it's the one with the right VRAM for the models you want. Here's how the RTX 3060, 4060 (Ti), and 3090 stack up for running LLMs and image models.
Quick comparison
| RTX 3060 12GB | RTX 4060 Ti 16GB | RTX 3090 24GB | |
|---|---|---|---|
| VRAM | 12 GB | 16 GB | 24 GB |
| Biggest model (Q4) | ~13B | ~13B + big context | ~30B |
| Speed | Good | Better | Fastest here (huge bandwidth) |
| Price | Cheapest | Mid | Highest (used = great value) |
| Best for | Starting out | Headroom on a budget | Serious local AI / 70B rigs |
RTX 3060 12GB — the starter
The cheapest way into local AI that isn't compromised. 12GB runs 7B–13B chat models at Q4 and handles most Stable Diffusion. If you're testing the waters, buy this and don't overthink it.
RTX 4060 Ti 16GB — the headroom pick
Newer, more efficient, and 16GB gives you longer contexts and more comfortable 13B performance than the 3060. If you want a new card with some future room and don't want to buy used, this is the safe middle.
RTX 3090 24GB — the serious pick
24GB is the difference between "small models" and "real models." It runs 30B-class LLMs, heavy image gen, and — critically — two of them (48GB) run a 70B model at Q4. Its memory bandwidth also makes it the fastest of the three for models that fit. Used prices make it the best high-end value.
So which should you buy?
- Tightest budget / just starting: RTX 3060 12GB.
- Want new + headroom: RTX 4060 Ti 16GB.
- Serious about local AI or want to reach 70B: RTX 3090 24GB (or two).
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