NVIDIA GeForce RTX 3060 12GB
12 GB · 360 GB/s · 170 W
In short
The NVIDIA GeForce RTX 3060 12GB has 12 GB of GDDR6 memory with 360 GB/s of bandwidth, which sets how fast it generates text. At 128k context it runs 11 of the 113 open models we track fully in memory; the most capable is Gemma 4 12B at Q4_K_M, at about 23 tok/s (estimated). The best new price for the NVIDIA GeForce RTX 3060 12GB in the UK is £390 at eBay; used, it starts at £242 (asking price).
Updated . Speeds are estimates; how they are worked out.
Prices
Every retailer we track in the UK, cheapest first. Buy links may earn us a commission.
| Retailer | Condition | Price | Stock | Checked | Buy |
|---|---|---|---|---|---|
| eBayGIGABYTE GeForce RTX 3060 Gaming OC 12GB GDDR6 Triple Fan HDMI/DP | used, asking price | £242 | In stock | 1 h ago | Buy |
| eBayPALIT RTX 3060 StormX 12GB ITX | used, asking price | £270+ £7 delivery | In stock | 1 h ago | Buy |
| eBayMSI GeForce RTX 3060 VENTUS 2X 12GB OC NVIDIA GDDR6 PCIe HDMI DP | used, asking price | £275+ £6 delivery | In stock | 6 h ago | Buy |
| eBayGigabyte Geforce RTX 3060 Windforce OC Dual 12GB | used, asking price | £279+ £6 delivery | In stock | 1 h ago | Buy |
| eBayASUS ROG Strix NVIDIA GeForce RTX 3060 V2 OC 12GB DDR6 Triple Fan HDMI DP | used, asking price | £282+ £6 delivery | In stock | 1 h ago | Buy |
| eBayMSI GeForce RTX 3060 GAMING X 12GB GDDR6 Graphics Card | used, asking price | £290+ £7 delivery | In stock | 1 h ago | Buy |
| eBayGIGABYTE GeForce RTX 3060 GAMING OC 12GB GDDR6 Ray Tracing GV-N3060GAMING | used, asking price | £292+ £6 delivery | In stock | 1 h ago | Buy |
| eBayASUS GeForce RTX 3060 Dual Gaming OC V2 12Gb GDDR6 Graphics Card NEW & SEALED | New | £390 | In stock | 1 h ago | Buy |
| AmazonASUS GeForce RTX 3060 12G DUAL V2 OC Gaming Graphics Card | New | £400 | In stock | 12 h ago | Buy |
| Amazonmsi Gaming GeForce RTX 3060 Ventus 2X 12G OC V1 Graphics Card | New | £425 | In stock | 12 h ago | Buy |
| eBayASUS Dual GeForce RTX 3060 V2 OC Edition 12GB GDDR6 Graphics Card NEW SEALED | New | £430 | In stock | 1 h ago | Buy |
| eBayPalit Geforce RTX 3060 Infinity 2 OC NVIDIA 12 GB GDDR6 | New | £452 | In stock | 1 h ago | Buy |
| AmazonGigabyte NVIDIA GeForce RTX 3060 WINDFORCE OC V2 Graphics Card | New | £460 | In stock | 12 h ago | Buy |
| eBayAsus Geforce Rtx 3060 Dual Gaming Oc V2 12Gb GPU GDDR6 | New | £460 | In stock | 1 h ago | Buy |
| eBayASUS NVIDIA GeForce RTX 3060 DUAL OC V2 12G GDDR6 Ray-Tracing Graphics Card | New | £463 | In stock | 1 h ago | Buy |
| eBayPalit GeForce RTX 3060 Infinity 2 OC NVIDIA 12 GB GDDR6 | New | £476 | In stock | 1 h ago | Buy |
| eBayAsus Geforce Rtx 3060 Dual Gaming Oc V2 12Gb Gddr6/Pci Express 4.0/1867Mhz/15000 | New | £480 | In stock | 1 h ago | Buy |
| eBayGigabyte NVIDIA GeForce RTX 3060 WINDFORCE OC V2 12GB GDDR6 Ray-Tracing Graphics | New | £484 | In stock | 1 h ago | Buy |
| eBayASUS Dual -RTX3060-O12G-V2 NVIDIA GeForce RTX 3060 12 GB GDDR6 | New | £489 | In stock | 1 h ago | Buy |
| eBayPalit GeForce RTX 3060 Infinity 2 OC NVIDIA 12 GB GDDR6 | New | £496 | In stock | 1 h ago | Buy |
| eBayPalit GeForce RTX 3060 StormX 12GB Graphics Card | New | £507 | In stock | 1 h ago | Buy |
| eBayZotac GeForce RTX 3060 12GB TWIN EDGE OC Ampere Graphics Card | New | £507 | In stock | 1 h ago | Buy |
| eBayPalit GeForce RTX 3060 StormX 12GB GDDR6 Graphics Card RGB GPU | New | £500+ £9 delivery | In stock | 1 h ago | Buy |
| eBayASUS RTX 3060 Dual Graphics Card 12GB GDDR6 90YV0GB2-M0NA10 | New | £524 | In stock | 1 h ago | Buy |
| eBayASUS Dual GeForce RTX 3060 V2 OC 12GB Graphics Card | New | £525 | In stock | 1 h ago | Buy |
Used on eBay: median asking price £313, most between £295 and £374 (28 listings, 2026-10-15).
Price history
Lowest price shown each day over the last 90 days.
Not enough price history yet.
What it runs
Every model in the catalogue, with the best quant for this hardware. Estimates, not measurements.
| Model | Quant | Fits | Memory | Max context | Decode @128k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Gemma 4 12B | Q4_K_M | fits | 10.4 GB | 174k256k with q8 cache | 23tok/sest. | 347 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q4_K_M | fits | 10.8 GB | 144k238k with q8 cache | 22tok/sest. | 413 tok/s | chat, coding, long documents |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 9.7 GB | 174k256k with q8 cache | 25tok/sest. | 643 tok/s | chat, coding, long documents |
| Gemma 4 E4B | Q5_K_M | fits | 10.1 GB | 128k | 24tok/sest. | 579 tok/s | chat, coding, long documents |
| Qwen2.5 0.5B Alibaba Qwen | Q8_0 | fits | 3.4 GB | 32k | 104tok/sest. | 1739 tok/s | chat, coding, long documents |
| Qwen3.5 0.8B Alibaba Qwen | Q8_0 | fits | 3.7 GB | 256k | 91tok/sest. | 2319 tok/s | chat, coding, agents, long documents |
| Qwen3.5 2B Alibaba Qwen | Q5_K_M | fits | 4.3 GB | 256k | 73tok/sest. | 1483 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 1.5B DeepSeek | Q8_0 | fits | 6.7 GB | 128k | 40tok/sest. | 777 tok/s | chat, coding, long documents |
| MiniCPM5 2B openbmb | Q8_0 | fits | 9.2 GB | 128k | 27tok/sest. | 418 tok/s | chat, coding, agents, long documents |
| LFM2.5 2.6B Liquid AI | Q6_K | fits | 11.0 GB | 128k | 22tok/sest. | 536 tok/s | chat, coding, agents, long documents |
| LFM2.5 VL 3B Liquid AI | Q6_K | fits | 11.0 GB | 32k | 22tok/sest. | 515 tok/s | chat, coding, agents, long documents |
| Qwen 3.8 27B Alibaba Qwen | UD-Q4_K_M | offload | 24.9 GB | – | 3tok/sest. | 93 tok/s | – |
| Qwen 3.6 27B Alibaba Qwen | Q4_K_M | offload | 25.3 GB | – | 3tok/sest. | 92 tok/s | – |
| Gemma 4 31B | Q4_K_M | offload | 29.3 GB | – | 3tok/sest. | 83 tok/s | – |
| Qwen 3.6 35B-A3B Alibaba Qwen | MXFP4 | offload | 24.2 GB | – | 11tok/sest. | 456 tok/s | chat, coding |
| Qwen 3.5 27B Alibaba Qwen | Q4_K_M | offload | 25.2 GB | – | 3tok/sest. | 92 tok/s | – |
| Gemma 4 26B-A4B | UD-Q4_K_M | offload | 19.9 GB | – | 10tok/sest. | 604 tok/s | chat |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q4_K_M | offload | 24.5 GB | – | 11tok/sest. | 454 tok/s | chat, coding |
| GLM 4.7 Flash Z.ai | Q4_K_M | offload | 25.1 GB | – | 5tok/sest. | 212 tok/s | chat |
| Devstral Small 2 24B Mistral AI | Q4_K_M | offload | 34.8 GB | – | 2tok/sest. | 73 tok/s | – |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 34.8 GB | – | 10tok/sest. | 536 tok/s | – |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 30.5 GB | – | 15tok/sest. | 313 tok/s | chat, coding |
| gpt-oss 20B OpenAI | Q4_K_M | offload | 15.3 GB | – | 13tok/sest. | 450 tok/s | chat, coding, agents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | offload | 30.7 GB | – | 3tok/sest. | 121 tok/s | chat |
| Gemma 3 27B | Q4_K_M | offload | 27.3 GB | – | 3tok/sest. | 109 tok/s | – |
| Mistral Small 3.2 24B Mistral AI | Q4_K_M | offload | 34.8 GB | – | 2tok/sest. | 73 tok/s | – |
| Ministral 3 14B Mistral AI | Q4_K_M | offload | 29.1 GB | 18k34k with q8 cache | 3tok/sest. | 100 tok/s | chat |
| Qwen3 14B Alibaba Qwen | Q4_K_M | offload | 29.8 GB | 14k26k with q8 cache | 2tok/sest. | 85 tok/s | chat |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q4_K_M | offload | 24.1 GB | 41k74k with q8 cache | 3tok/sest. | 139 tok/s | chat, coding |
| Qwen3 8B Alibaba Qwen | Q4_K_M | offload | 24.1 GB | 40k | 3tok/sest. | 139 tok/s | chat, coding |
| Phi-4 14B Microsoft | Q4_K_M | offload | 34.7 GB | 12k16k with q8 cache | 2tok/sest. | 80 tok/s | chat |
| Ministral 3 8B Mistral AI | Q4_K_M | offload | 23.3 GB | 42k76k with q8 cache | 4tok/sest. | 143 tok/s | chat, coding |
| Granite 4.2 8B IBM | Q4_K_M | offload | 26.6 GB | 34k62k with q8 cache | 3tok/sest. | 121 tok/s | chat, coding |
| LFM2.5 8B-A1B Liquid AI | UD-Q4_K_M | offload | 12.4 GB | 108k125k with q8 cache | 15tok/sest. | 731 tok/s | chat, coding |
| Llama 3.1 8B Meta | Q4_K_M | offload | 22.0 GB | 46k84k with q8 cache | 4tok/sest. | 158 tok/s | chat, coding |
| Mellum2.1 12B A2.5B Thinking JetBrains | Q6_K | offload | 13.9 GB | – | 19tok/sest. | 787 tok/s | chat, coding, agents, long documents |
| GLM 4.6V Flash Z.ai | Q4_K_M | offload | 12.2 GB | 110k128k with q8 cache | 16tok/sest. | 173 tok/s | chat, coding |
| DeepSeek R1 Distill Qwen 7B DeepSeek | Q4_K_M | offload | 12.8 GB | 104k128k with q8 cache | 13tok/sest. | 257 tok/s | chat, coding |
| granite vision 4.1 4b IBM | Q4_K_M | offload | 13.4 GB | 104k128k with q8 cache | 11tok/sest. | 297 tok/s | chat, coding |
| granite 4.2 3b IBM | Q4_K_M | offload | 13.6 GB | 101k128k with q8 cache | 11tok/sest. | 301 tok/s | chat, coding, agents |
| Kimi VL A3B Moonshot AI | mlx-5bit | offload | 16.3 GB | – | 11tok/sest. | 451 tok/s | chat, coding, agents |
| GLM 4.1V 9B Thinking Z.ai | mlx-8bit | offload | 17.4 GB | – | 6tok/sest. | 140 tok/s | chat |
| LFM2.5 24B A2B Liquid AI | Q4_K_M | offload | 25.7 GB | – | 4tok/sest. | 292 tok/s | chat |
| DeepSeek R1 Distill Llama 8B DeepSeek | Q4_K_M | offload | 22.0 GB | 46k84k with q8 cache | 4tok/sest. | 158 tok/s | chat, coding |
| Ministral 3 8B Reasoning 2512 Mistral AI | Q4_K_M | offload | 23.3 GB | 42k76k with q8 cache | 4tok/sest. | 143 tok/s | chat, coding |
| DeepSeek R1 Distill Qwen 14B DeepSeek | Q4_K_M | offload | 33.8 GB | 12k22k with q8 cache | 2tok/sest. | 72 tok/s | chat |
| Devstral Small 2507 Mistral AI | Q4_K_M | offload | 34.8 GB | – | 2tok/sest. | 74 tok/s | – |
| Magistral Small 2506 Mistral AI | Q4_K_M | offload | 34.8 GB | – | 2tok/sest. | 74 tok/s | – |
| Magistral Small 2507 Mistral AI | Q4_K_M | offload | 34.8 GB | – | 2tok/sest. | 74 tok/s | – |
| Magistral Small 2509 Mistral AI | Q4_K_M | offload | 34.8 GB | – | 2tok/sest. | 73 tok/s | – |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 102.4 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 104.2 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 78.0 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 102.6 GB | – | – | – | – |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | won't run | 43.6 GB | – | – | – | – |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | won't run | 53.5 GB | – | – | – | – |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | won't run | 49.7 GB | – | – | – | – |
| gpt-oss 120B OpenAI | Q4_K_M | won't run | 64.4 GB | – | – | – | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | won't run | 41.7 GB | – | – | – | – |
| GLM 4.5 Air Z.ai | Q2_K | won't run | 66.7 GB | – | – | – | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | won't run | 49.7 GB | – | – | – | – |
| Qwen3 32B Alibaba Qwen | Q4_K_M | won't run | 51.9 GB | – | – | – | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | won't run | 51.9 GB | – | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 81.1 GB | – | – | – | – |
| DeepSeek R1 DeepSeek | Q4_K_M | won't run | 386.7 GB | – | – | – | – |
| DeepSeek R1 0528 DeepSeek | Q4_K_M | won't run | 387.2 GB | – | – | – | – |
| DeepSeek R1 Distill Llama 70B DeepSeek | Q4_K_M | won't run | 81.1 GB | – | – | – | – |
| DeepSeek V3 0324 DeepSeek | Q4_K_M | won't run | 386.7 GB | – | – | – | – |
| DeepSeek V3.1 DeepSeek | Q4_K_M | won't run | 387.6 GB | – | – | – | – |
| DeepSeek V3.2 DeepSeek | Q4_K_M | won't run | 387.6 GB | – | – | – | – |
| DeepSeek V4 Flash 0731 DeepSeek | MXFP4 | won't run | 157.8 GB | – | – | – | – |
| DeepSeek V4 Flash Vision Exp DeepSeek | MXFP4 | won't run | 166.6 GB | – | – | – | – |
| Devstral 2 123B Instruct 2512 Mistral AI | Q8_0 | won't run | 169.2 GB | – | – | – | – |
| GLM 4.5V Z.ai | Q4_K_M | won't run | 83.7 GB | – | – | – | – |
| GLM 4.6V Z.ai | Q4_K_M | won't run | 90.1 GB | – | – | – | – |
| GLM 4.7 Z.ai | Q4_K_M | won't run | 249.0 GB | – | – | – | – |
| GLM 5.1 Z.ai | MXFP4 | won't run | 432.4 GB | – | – | – | – |
| GLM 5.2 Z.ai | UD-Q4_K_M | won't run | 446.3 GB | – | – | – | – |
| GLM 5.3 Z.ai | Q8_0 | won't run | 758.7 GB | – | – | – | – |
| Kimi K2 Moonshot AI | Q4_K_M | won't run | 588.2 GB | – | – | – | – |
| Kimi K2 Instruct 0905 Moonshot AI | Q4_K_M | won't run | 588.6 GB | – | – | – | – |
| Kimi K2 Thinking Moonshot AI | Q4_K_M | won't run | 588.6 GB | – | – | – | – |
| Kimi K2.5 Moonshot AI | Q4_K_M | won't run | 588.6 GB | – | – | – | – |
| MiniMax M2 MiniMax | Q4_K_M | won't run | 161.3 GB | – | – | – | – |
| MiniMax M2.1 MiniMax | Q4_K_M | won't run | 161.3 GB | – | – | – | – |
| MiniMax M2.5 MiniMax | MXFP4 | won't run | 147.7 GB | – | – | – | – |
| MiniMax M3 MiniMax | UD-Q4_K_M | won't run | 263.2 GB | – | – | – | – |
| Mistral Medium 3.5 128B Mistral AI | Q4_K_M | won't run | 115.2 GB | – | – | – | – |
| granite 4.2 30b IBM | Q4_K_M | won't run | 50.2 GB | – | – | – | – |
Specifications
From the manufacturer's published specifications; sources are linked where we have them.
- GPU
- GeForce RTX 3060 12GB
- Memory
- 12 GB GDDR6
- Memory bus
- 192-bit
- Memory bandwidth
- 360 GB/s
- FP16 compute
- 25.6 TFLOPS
- Software
- CUDA
- Board power
- 170 W
- PCIe generation
- Gen 4
- PCIe lanes
- x16
Compare with
Questions
- How much memory does the NVIDIA GeForce RTX 3060 12GB have for AI models?
- The NVIDIA GeForce RTX 3060 12GB has 12 GB of GDDR6 memory with 360 GB/s of bandwidth, which sets how fast it generates text.
- What is the best model the NVIDIA GeForce RTX 3060 12GB can run locally?
- Gemma 4 12B (Q4_K_M) fits fully in its memory at 128k context and generates at about 23 tok/s, an estimate from its memory bandwidth. 11 of the 113 models we track fit at that context.
- Can the NVIDIA GeForce RTX 3060 12GB run DeepSeek V4 Flash?
- No: even at UD-Q2_K_XL, DeepSeek V4 Flash needs about 102 GB at 128k context, more than the NVIDIA GeForce RTX 3060 12GB and system RAM can hold.
- How much does the NVIDIA GeForce RTX 3060 12GB cost in the UK?
- The best new price for the NVIDIA GeForce RTX 3060 12GB in the UK is £390 at eBay; used, it starts at £242 (asking price).
Speeds on this page are for 128k context. See the best hardware for local AI at every budget.