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RTX 3060 12GB for Local LLMs: What It Runs and How Fast
The RTX 3060 12GB is the lowest reasonable entry ticket to local LLMs — and a beneficiary of the DRAM price surge: used prices climbed from $170-220 in July 2026 to $250-275 in August (~+40%), and NVIDIA even relisted it at retail for $339 in 2026. Its 12GB / 360 GB/s positioning is clear: 8B models at Q4 fit comfortably (~7.5GB) at a theoretical ~55 tok/s; Phi-4 14B (~12.2GB) no longer fits, and everything 24B+ is out.
Its real value is being the cheapest LLM GPU to make mistakes on: 170W TDP needs no PSU upgrade, mining risk is lower than high-end 30-series (the 12GB variant mined poorly), and a first card bought here is rarely regretted. The bottleneck is equally clear: 360 GB/s starts feeling slow beyond 8B — don't ask it to run 24B. If budget allows, go straight to a used 3090; if it doesn't, this is the starting line. Check memory temps and fan noise when buying used; this generation has no 12VHPWR-style traps.
Specs
| Nominal VRAM | 12 GB |
| Usable VRAM (for models) | 12.0 GB |
| Memory bandwidth | 360 GB/s |
| Type | Discrete GPU |
| Release year | 2021 |
| MSRP | $329 |
| Used reference price | $260vs last month +44% |
| TDP | 170 W |
Value Metrics
Based on used reference price; used prices are market estimates, see commentary for volatility.
Model Verdict Matrix (Q4_K_M @8K)
| Model | VRAM needed | Verdict | Recommended quant | Theoretical speed | |
|---|---|---|---|---|---|
| Llama 3.2 3B | 4.4 GB | Comfortable | FP16 | ≈42 tok/s | Try it → |
| Llama 3.1 8B | 7.5 GB | Comfortable | Q8_0 | ≈32 tok/s | Try it → |
| Qwen3 8B | 7.7 GB | Comfortable | Q8_0 | ≈31 tok/s | Try it → |
| Phi-4 14B | 12.2 GB | Needs multi-GPU | Q3_K_M | ≈37 tok/s | Try it → |
| Mistral Small 3.2 24B | 17.5 GB | Not feasible | needs 2 cards | — | Try it → |
| Gemma 3 27B | 22.4 GB | Not feasible | needs 2 cards | — | Try it → |
| Qwen3.8 27B | 20.7 GB | Not feasible | needs 2 cards | — | Try it → |
| Muse Glimmer 30B | 20.1 GB | Not feasible | needs 2 cards | — | Try it → |
| Qwen3 30B-A3B | 21.0 GB | Not feasible | needs 2 cards | — | Try it → |
| Qwen3 32B | 23.7 GB | Not feasible | needs 2 cards | — | Try it → |
| gpt-oss-20b | 14.7 GB | Not feasible | Q2_K | ≈189 tok/s | Try it → |
| Llama 3.3 70B | 47.4 GB | Not feasible | needs 4 cards | — | Try it → |
| gpt-oss-120b | 73.6 GB | Not feasible | — | — | Try it → |
| DeepSeek-R1 671B | 413.1 GB | Not feasible | — | — | Try it → |
Theoretical speed = bandwidth × 0.75 ÷ per-token weight bytes (active params for MoE); real-world results vary with framework/driver/CPU, ±30%.
FAQ
- What models can the RTX 3060 12GB run?
- At Q4_K_M @8K: the 8B tier (Llama 3.1 8B / Qwen3 8B, ~7.5-7.7GB) comfortably; Phi-4 14B (~12.2GB) does not fit; anything larger needs multi-GPU or is out.
- How fast is 8B on the RTX 3060 12GB?
- Theoretically ~55 tok/s (360 GB/s × 0.75 ÷ 4.9GB per-token weights). Chat feels fluid; long-context prefill is noticeably slow.
- Is the RTX 3060 12GB still worth buying?
- Under a hard $300 cap, yes — the cheapest new 12GB card available. If you can reach ~$1,100, a used 3090 (24GB / 936 GB/s) delivers over 3× the LLM value.
Related guides
- Best GPU for Local LLMs in 2026: Every Budget Tier
- Run GGUF Models Locally: llama.cpp and Ollama Walkthrough
- Quantization Explained: Q4 vs Q8 and What You Actually Lose
Try RTX 3060 12GB in the GPU compatibility checker →
Data verified 2026-09-01