PromptQuorumPromptQuorum

Best GPU Under $300 for Local LLMs in 2026?

Read in:
🇺🇸en🇩🇪de🇫🇷fr🇯🇵ja🇨🇳zh
Hardware-SpecificIntermédiaire

Points clés

  • ✓Best pick: used NVIDIA RTX 3060 12 GB at $150-250 (May 2026) — CUDA works instantly with Ollama and llama.cpp
  • ✓Cheapest pick: used AMD RX 6700 XT at $130-200 — 12 GB VRAM, but ROCm setup adds 3-5 hours of work
  • ✓Both cards run every 7B model and most 13B models at Q4 quantization; neither fits a 70B model
  • ✓Buy the RTX 3060 in its 12 GB version — the 6 GB variant only runs 3B models and is not worth it

Best Pick: Used NVIDIA RTX 3060 12 GB

The used NVIDIA RTX 3060 12 GB is the best GPU under $300 for local LLMs because 12 GB of VRAM plus zero-setup CUDA support gives you a working LLM box in minutes. At $150-250 in the May 2026 used market, it runs Mistral 7B, Llama 3 8B, and Qwen3 8B at 15-20 tokens per second, and most 13B models at Q4.

The RTX 3060 wins on software. Ollama and llama.cpp detect NVIDIA GPUs via CUDA automatically on Windows and Linux — no driver hunting, no ROCm. The AMD RX 6700 XT ($130-200 used) saves $30-80 and matches the 12 GB capacity, but ROCm setup on Linux typically costs 3-5 hours and is unsupported on Windows for fast inference.

Choose the RX 6700 XT only if budget is the single deciding factor and you are comfortable on Linux. For everyone else, the RTX 3060 12 GB is the safer first GPU. Avoid the 6 GB RTX 3060 variant — it looks identical in listings but only fits 3B models.

RTX 3060 12 GB vs RX 6700 XT for Local LLMs

Both cards carry 12 GB of VRAM, so model capacity is identical — the decision is CUDA versus ROCm. Prices below are a May 2026 US used-market snapshot; the 2026 memory shortage keeps GPU prices volatile, so re-check before buying.

GPUVRAMPrice (May 2026)SetupBest for
RTX 3060 12 GB12 GB$150-250 usedCUDA, instantBest pick — no setup friction
RX 6700 XT12 GB$130-200 usedROCm, 3-5 hoursCheapest, accepts AMD setup

Related Reading

  • ▸[Best GPU Under $600 for Local LLMs](/prompt-bites/best-gpu-under-600-local-llm) — the next tier up: RTX 4060 Ti 16 GB
  • ▸[Best Ollama Models for RTX 3060 12 GB](/prompt-bites/best-ollama-models-rtx-3060-12gb) — which models to pull once you have the card
  • ▸[Best GPU Buying Guide for Local LLMs 2026](/power-local-llm/best-gpu-buying-guide-local-llm-2026) — the full eight-GPU comparison across all budget tiers

Quick Answers About Sub-$300 GPUs for Local LLMs

Can a $300 GPU run local LLMs well?▾
Yes. A used RTX 3060 12 GB or RX 6700 XT runs every 7B model at 15-20 tokens per second and most 13B models at Q4 quantization. Both have 12 GB of VRAM, which is enough for general chat, coding assistance, and summarization.
Why pick the RTX 3060 over the cheaper RX 6700 XT?▾
The RTX 3060 uses NVIDIA CUDA, which Ollama and llama.cpp detect automatically. The RX 6700 XT needs ROCm setup — typically 3-5 hours on Linux and unsupported on Windows for fast inference. The $30-80 you save rarely covers that time.
Should I buy the 6 GB or 12 GB RTX 3060?▾
Buy the 12 GB version. The 6 GB RTX 3060 only fits 3B models, half the parameter count of the 7B class. The two variants look identical in listings — confirm the VRAM before buying.
Can a sub-$300 GPU run a 70B model?▾
No. A 70B model at Q4 needs roughly 40 GB of VRAM. A 12 GB card maxes out around 14B models at Q4. For larger models you need a higher tier or a multi-GPU build.
← Retour aux Prompt Bites