RTX 3090 for Local LLMs: What It Runs, What It Costs, Every Guide
The RTX 3090's 24 GB holds models up to about DeepSeek-R1-Distill-Qwen 32B entirely in VRAM: its 19.9 GB Q4_K_M file leaves 4.1 GB for context (per the SpecPicks Will-It-Run matrix). New, it is $1,915 this week, $79.79 per GB of VRAM, per the Amazon listings SpecPicks tracks (price may vary).
What fits in 24 GB
Each row is the model’s real GGUF file size at the quantization shown (Q4_K_M unless noted) against the card’s 24 GB, with the median of published, source-linked generation-speed runs that pass a memory-bandwidth sanity check. Open a row for the sources behind it.
| Model | File | Verdict | Median speed |
|---|---|---|---|
| Llama 3.2 1B | 0.8 GB Q4_K_M | Runs | 267 tok/s 1 cited run |
| Llama 3.2 3B | 2 GB Q4_K_M | Runs | no cited run |
| Mistral 7B | 4.4 GB Q4_K_M | Runs | no cited run |
| Qwen2.5 7B | 4.7 GB Q4_K_M | Runs | no cited run |
| Llama 3.1 8B | 4.9 GB Q4_K_M | Runs | 92 tok/s 3 cited runs |
| DeepSeek-R1-Distill-Llama 8B | 4.9 GB Q4_K_M | Runs | no cited run |
| Qwen3 8B | 5 GB Q4_K_M | Runs | 101 tok/s 2 cited runs |
| Gemma 2 9B | 5.8 GB Q4_K_M | Runs | no cited run |
| Gemma 3 12B | 7.3 GB Q4_K_M | Runs | no cited run |
| Qwen2.5 14B | 9 GB Q4_K_M | Runs | 55.8 tok/s 3 cited runs |
| DeepSeek-R1-Distill-Qwen 14B | 9 GB Q4_K_M | Runs | no cited run |
| Qwen3 14B | 9 GB Q4_K_M | Runs | 61.1 tok/s 2 cited runs |
| Phi-4 14B | 9.1 GB Q4_K_M | Runs | no cited run |
| gpt-oss-20b | 12.1 GB MXFP4 | Runs | 148 tok/s 1 cited run |
| Gemma 3 27B | 16.6 GB Q4_K_M | Runs | no cited run |
| Gemma 2 27B | 16.7 GB Q4_K_M | Runs | no cited run |
| Qwen3 30B-A3B | 18.6 GB Q4_K_M | Runs | 154 tok/s 1 cited run |
| Qwen3 32B | 19.8 GB Q4_K_M | Runs | 32.7 tok/s 2 cited runs |
| Qwen2.5 32B | 19.9 GB Q4_K_M | Runs | 23 tok/s 2 cited runs |
| DeepSeek-R1-Distill-Qwen 32B | 19.9 GB Q4_K_M | Runs | no cited run |
| Qwen3 32B (Q6_K) | 26.9 GB Q6_K | Offload | no cited run |
| Qwen2.5 32B (Q6_K) | 26.9 GB Q6_K | Offload | no cited run |
| DeepSeek-R1-Distill-Qwen 32B (Q6_K) | 26.9 GB Q6_K | Offload | no cited run |
| Gemma 3 27B (Q8_0) | 28.7 GB Q8_0 | Offload | no cited run |
| Llama 3.1 70B | 42.5 GB Q4_K_M | Offload | no cited run |
| Llama 3.3 70B | 42.5 GB Q4_K_M | Offload | no cited run |
| DeepSeek-R1-Distill-Llama 70B | 42.5 GB Q4_K_M | Offload | no cited run |
What it costs this week
- New (Amazon): $1,915 · $79.79 per GB of VRAM
- Used (eBay median, 7 days): not tracked — the eBay feed SpecPicks reads has no used listings on file for this card, so there is no used median; check live eBay listings for current used prices
View Current Price →DetailsUsed on eBay
*Tracked snapshot read 2026-11-13, not a live quote: price may vary. Its row in this week’s LLM GPU Price Index →
Every RTX 3090 guide, by question
21 SpecPicks guides cover this card. They are grouped by the question they answer, most-read first.
Compared with other cards and machines 9 guides
- Dual RTX 3090 vs RTX 5090: Gaming vs AI Training
- RTX 3090 vs RTX 4090 for LLM Inference: Same 24GB (2026)
- Dual RTX 3060 12GB vs RTX 3090 24GB for Qwen2.5 32B (2026)
- RTX 3060 12GB vs RTX 3090 for Local LLMs (2026)
- RTX 3090 24GB vs RTX 4060 Ti 8GB in 2026: Used VRAM or New Efficiency?
- RTX A6000 48GB vs RTX 3090 24GB for Production LLM Inference (2026)
- Gemma 4 31B on a 24GB GPU: RTX 3090 vs RTX 4090 vs RX 7900 XTX Quant Table (2026)
- Tesla P40 vs RTX 3090: Used 24GB GPUs for Local LLMs in 2026
- Used RTX 3090 vs New GPU for Local LLMs: 2026 Reddit Consensus
Backends, drivers and runtimes 3 guides
Specific models 6 guides
- How to run Qwen 3 32B on NVIDIA GeForce RTX 3090
- How to run Llama 3.1 70B on NVIDIA GeForce RTX 3090
- How to run DeepSeek-R1 32B on NVIDIA GeForce RTX 3090
- Qwen 3.6 27B at 2x tok/s: Luce DFlash on One RTX 3090
- How to run Qwen 3 14B on NVIDIA GeForce RTX 3090
- How to run Llama 3.1 8B on NVIDIA GeForce RTX 3090
Builds, buying and value 1 guide
Everything else 2 guides
Where to go next
- RTX 3090 vs Radeon RX 7900 XTX — the card it is most often cross-shopped against.
- RTX 3090 benchmarks — every gaming and AI run on file, with sources.
- Will it run? — any model against any card.
- AI rigs hub — complete local-AI builds.
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This page is editorial synthesis based on publicly available information. No independent first-party benchmarking is reported.