Quick answer: The RTX 4060 Ti 16GB (~$425) is the best GPU under $500 for local LLM. Its 16GB VRAM runs all 7B and most 13B models comfortably in Ollama and llama.cpp.
NVIDIA GeForce RTX 4060 Ti 16GB
16GB GDDR6Best GPU under $500 — 16GB VRAM runs 7B-13B models comfortably with no VRAM headroom concerns.
Affiliate links — we may earn a commission at no extra cost to you. Amazon ships globally; Shopee SG covers Singapore & ASEAN.
Under $500 GPU comparison for LLM
| GPU | VRAM | Bandwidth | Tok/s (7B Q4) | Price | Best For |
|---|---|---|---|---|---|
| RTX 4060 Ti 16GB | 16GB | 288 GB/s | ~35 tok/s | ~$425 | Best overall under $500 |
| RTX 3060 12GB (used) | 12GB | 360 GB/s | ~30 tok/s | ~$250 | Best ultra-budget |
| RTX 4060 Ti 8GB | 8GB | 288 GB/s | ~34 tok/s | ~$350 | Gaming + light LLM |
| RX 7800 XT | 16GB | 624 GB/s | ~25 tok/s | ~$450 | AMD option, high bandwidth |
| RTX 4060 8GB | 8GB | 272 GB/s | ~32 tok/s | ~$479 | Entry-level only |
| Intel Arc A770 16GB | 16GB | 560 GB/s | ~15 tok/s | ~$300 | Experimental, limited support |
VRAM capacity memory bandwidth Specs are manufacturer figures. Bar lengths are scaled independently per metric.
#1: RTX 4060 Ti 16GB — best under $500
This is the clear winner. Here is why:
16GB VRAM at $400 is unmatched in this price range. No other new NVIDIA card under $500 gives you 16GB. That VRAM lets you run:
- Llama 3.1 8B at Q8 (near-perfect quality)
- Mistral 7B at FP16 (full precision)
- Llama 2 13B at Q4_K_M (good quality)
- Qwen 2.5 14B at Q4_K_M
- CodeLlama 13B at Q4_K_M
- DeepSeek-R1 8B at Q8
The 288 GB/s bandwidth is modest, so you will not get blazing token generation on larger models. But for 7B-13B inference, it delivers 20-35 tokens per second — perfectly usable for interactive chat. For a detailed look at 13B model compatibility, see can the RTX 4060 Ti run 13B models?
Power draw is only 165W, making it practical for a daily-driver machine without upgrading your PSU.
Check NVIDIA GeForce RTX 4060 Ti 16GB on Amazon→Buy on Shopee SG→#2: RTX 3060 12GB (used) — best under $250
The RTX 3060 12GB remains the community favorite budget LLM card for good reason:
- $200-250 used — half the price of the 4060 Ti 16GB
- 12GB VRAM handles all 7B models at Q6_K and 13B at Q3-Q4
- 360 GB/s bandwidth — actually higher than the 4060 Ti
- Battle-tested with years of community Ollama benchmarks
The trade-off: 12GB is tight for 13B models at good quantization. You will be limited to Q4 or below for anything above 7B, and long context windows can push you into CPU offloading.
If you are just starting with local LLM and want to spend as little as possible, this is the card.
Check NVIDIA GeForce RTX 3060 12GB on Amazon→Buy on Shopee SG→#3: RX 7800 XT — AMD alternative
The RX 7800 XT offers impressive specs for $450:
- 16GB VRAM matches the 4060 Ti 16GB
- 624 GB/s bandwidth — more than double the 4060 Ti
- Strong raw performance on paper
The catch: AMD ROCm support for LLM inference is improving but still trails NVIDIA CUDA. Ollama works via ROCm on Linux, but expect 20-40% slower inference compared to equivalent NVIDIA cards and occasional compatibility issues. If you are on Windows, AMD support is even more limited.
Only recommended if you are comfortable with Linux, ROCm troubleshooting, and occasional workarounds.
What can you actually run under $500?
| Model | RTX 4060 Ti 16GB | RTX 3060 12GB | RTX 4060 8GB |
|---|---|---|---|
| Llama 3.1 8B (Q4) | 35 tok/s | 30 tok/s | 32 tok/s |
| Llama 3.1 8B (Q8) | 25 tok/s | Won’t fit well | Won’t fit |
| Llama 2 13B (Q4) | 20 tok/s | 16 tok/s | Won’t fit |
| Qwen 2.5 14B (Q4) | 18 tok/s | Won’t fit | Won’t fit |
| CodeLlama 34B | Won’t fit | Won’t fit | Won’t fit |
For reference, 10+ tok/s is comfortable for chat. Below 5 tok/s feels painful.
Cards to avoid under $500
RTX 4060 8GB — the 8GB VRAM is too restrictive. You can only run 7B quantized models, and even those leave no headroom for context. Spend the extra $100 for the 16GB variant.
GTX 1080 Ti 11GB (used) — old architecture, poor Ollama support, no FP16 tensor cores. The RTX 3060 12GB is better in every way at a similar used price.
Any card with 6GB or less — not viable for meaningful LLM inference in 2026.
Which GPU should you buy under $500?
- Want to run 13B models comfortably? Get the RTX 4060 Ti 16GB ($425). It is the only new card under $500 with enough VRAM for Llama 2 13B and Qwen 2.5 14B at usable quantization. If you are deciding between the 4060 Ti and the newer RTX 5060 Ti, see RTX 5060 Ti vs 4060 Ti for LLM for a side-by-side breakdown.
- Budget under $250? Get a used RTX 3060 12GB ($250). It handles all 7B models and gets you started with local LLM for the price of a few months of API credits.
- Mostly gaming, with some LLM on the side? The RTX 4060 Ti 8GB ($350) works for 7B models but will frustrate you the moment you try anything larger. Spend the extra $50 for 16GB.
- Already own an 8GB card? Skip the sidegrade. Save up for a 16GB or 24GB card instead — the jump from 8GB to 16GB is transformative, while 8GB to 8GB gains you nothing.
Common mistakes to avoid
- Buying an 8GB card to “save money.” The $50-100 you save on an 8GB card costs you every day in model limitations. At this budget tier, VRAM is the only spec that matters.
- Choosing AMD for LLM without Linux experience. The RX 7800 XT has great specs on paper, but ROCm compatibility issues can waste hours. NVIDIA CUDA support is significantly more mature.
- Ignoring the used market entirely. A used RTX 3060 12GB at $250 outperforms any new 8GB card for LLM work. Used GPUs are not risky for inference — the workload is gentle on hardware.
Our recommendation
For under $500, buy the RTX 4060 Ti 16GB. The 16GB VRAM future-proofs you as models continue to grow, and it handles the most popular 7B-13B models today without compromise.
If budget is extremely tight, the used RTX 3060 12GB at around $250 gets you started. You can always upgrade later.
NVIDIA GeForce RTX 4060 Ti 16GB
16GB GDDR616GB VRAM at $425 future-proofs you for 7B-13B models while drawing only 165W — no PSU upgrade needed.
Affiliate links — we may earn a commission at no extra cost to you. Amazon ships globally; Shopee SG covers Singapore & ASEAN.
See also: our best budget GPU for local LLM guide for a broader comparison, our under $300 GPU guide for tighter budgets, and the Ollama VRAM guide to check if your target model fits.
The $400 price point is where local LLM becomes practical. Below that, you are fighting VRAM limitations constantly. At $400, the 4060 Ti 16GB removes that struggle.