NVIDIA GeForce RTX 5060 Ti 8GB
8 GB · 448 GB/s · 180 W
In short
The NVIDIA GeForce RTX 5060 Ti 8GB has 8 GB of GDDR7 memory with 448 GB/s of bandwidth, which sets how fast it generates text. At 32k context it runs 18 of the 129 open models we track fully in memory; the most capable is Qwen 3.5 9B at Q4_K_M, at about 41 tok/s (estimated). The best new price for the NVIDIA GeForce RTX 5060 Ti 8GB in Germany is 518 € at eBay; used, it starts at 529 € (asking price).
Updated . Speeds are estimates; how they are worked out.
Prices
Every retailer we track in Germany, cheapest first. Buy links may earn us a commission.
| Retailer | Condition | Price | Stock | Checked | Buy |
|---|---|---|---|---|---|
| eBayMSI GeForce RTX 5060 Ti 8G Ventus 2X OC Plus | New | 518 € | In stock | 2 h ago | Buy |
| AmazonPNY Geforce RTX 5060 Ti 8GB Overclocked Dual Fan DLSS 4 | New | 525 € | In stock | 9 h ago | Buy |
| eBayMSI GeForce RTX 5060 Ti GAMING TRIO OC Grafikkarte 8GB GDDR7 | used, asking price | 529 € | In stock | 2 h ago | Buy |
| AmazonMSI GeForce RTX 5060 Ti 8G Ventus 2X OC Plus Gaming Graphics Card | New | 533 € | In stock | 3 h ago | Buy |
| AmazonASUS Dual GeForce RTX 5060 Ti 8GB GDDR7 Graphics Card OC Edition Gaming | New | 548 € | In stock | 3 h ago | Buy |
| eBayPny | New | 550 € | In stock | 2 h ago | Buy |
| AmazonGigabyte GeForce RTX 5060 Ti WINDFORCE OC 8G Graphics Card | New | 554 € | In stock | 3 h ago | Buy |
| AmazonGigabyte GeForce RTX 5060 Ti WINDFORCE MAX OC 8G Graphics Card | New | 567 € | In stock | 3 h ago | Buy |
| AmazonASUS Dual GeForce RTX 5060 Ti 8GB GDDR7 Gaming Graphics Card | New | 570 € | In stock | 3 h ago | Buy |
| AmazonGIGABYTE GeForce RTX 5060 Ti Windforce OC 8G | New | 578 € | In stock | 3 h ago | Buy |
| eBayASUS DUAL-RTX5060TI-O8G NVIDIA Grafikkarte | used, asking price | 579 € | In stock | 2 h ago | Buy |
| eBayASUS DUAL-RTX5060TI-O8G NVIDIA Grafikkarte | New | 579 € | In stock | 2 h ago | Buy |
| eBayZOTAC GeForce RTX 5060 Ti Twin Edge 8GB GDDR7 DLSS 4 HDMI 3x DP | New | 580 € | In stock | 2 h ago | Buy |
| eBayASUS DUAL-RTX5060TI-O8G NVIDIA Grafikkarte | used, asking price | 585 € | In stock | 2 h ago | Buy |
| eBayMSI GeForce RTX 5060 TI 8G VENTUS 2X OC PLUS NVIDIA 8 GB GDDR7 | New | 586 € | In stock | 2 h ago | Buy |
| eBay8GB Zotac Gaming GeForce RTX 5060 Ti Twin Edge 5060Ti NVIDIA GDDR7 | New | 587 € | In stock | 2 h ago | Buy |
| eBayGIGABYTE GeForce RTX 5060 Ti WINDFORCE OC 8G Grafikkarte | New | 592 € | In stock | 2 h ago | Buy |
| eBayINNO3D GeForce RTX 5060 Ti TWIN X2 8GB | New | 596 € | In stock | 2 h ago | Buy |
| eBayPalit RTX 5060 Ti Dual OC 8GB | New | 596 € | In stock | 2 h ago | Buy |
| eBay8GB Gainward GeForce RTX 5060 Ti Ghost GDDR7 NVIDIA RTX5060Ti | New | 597 € | In stock | 2 h ago | Buy |
| AmazonPNY Placa Gráfica GeForce RTX 5060 Ti ARGB OC 8GB GDDR7 | New | 599 € | In stock | 3 h ago | Buy |
| AmazonMSI Gaming RTX 5060 Ti 8G Ventus 2X OC Plus Graphics Card | New | 607 € | In stock | 3 h ago | Buy |
| eBayASUS Prime GeForce RTX 5060 Ti 8GB GDDR7 | New | 599 €+ 8 € delivery | In stock | 2 h ago | Buy |
| eBayINNO3D GeForce RTX 5060 Ti TWIN X2 OC 8GB | New | 608 € | In stock | 2 h ago | Buy |
| eBayASUS GeForce RTX 5060 Ti Dual OC 8GB GDDR7 DLSS4 | New | 611 € | In stock | 2 h ago | Buy |
| eBayGigabyte GeForce RTX 5060 Ti Windforce OC 8GB GDDR7 DLSS4 | New | 611 € | In stock | 2 h ago | Buy |
| AmazonGigabyte GeForce RTX 5060 Ti Gaming OC 8G Graphics Card | New | 619 € | In stock | 3 h ago | Buy |
| AmazonPNY GeForce RTX 5060 Ti 8GB ARGB OC Triple Fan Graphics Card DLSS 4 | New | 634 € | In stock | 3 h ago | Buy |
| AmazonMSI Gaming RTX 5060 Ti 8G Gaming Trio OC Graphics Card | New | 636 € | In stock | 3 h ago | Buy |
| AmazonASUS TUF Gaming GeForce RTX 5060 Ti OC Edition 8GB GDDR7 Gaming Graphics | New | 664 € | In stock | 3 h ago | Buy |
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 @32k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.5 9B Alibaba Qwen | Q4_K_M | fits | 7.2 GB | 36k60k with q8 cache | 41tok/sest. | 497 tok/s | chat, coding |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 6.1 GB | 66k110k with q8 cache | 50tok/sest. | 930 tok/s | chat, coding |
| Gemma 4 E4B | Q5_K_M | fits | 6.9 GB | 46k77k with q8 cache | 43tok/sest. | 625 tok/s | chat, coding |
| LFM2.5 8B-A1B Liquid AI | MXFP4 | fits | 7.4 GB | 32k55k with q8 cache | 74tok/sest. | 2043 tok/s | chat, coding |
| Qwen2.5 0.5B Alibaba Qwen | Q8_0 | fits | 1.8 GB | 32k | 298tok/sest. | 4449 tok/s | chat, coding, long documents |
| Qwen3.5 0.8B Alibaba Qwen | Q8_0 | fits | 2.0 GB | 256k | 225tok/sest. | 4180 tok/s | chat, coding, agents, long documents |
| Qwen3.5 2B Alibaba Qwen | Q5_K_M | fits | 2.6 GB | 256k | 150tok/sest. | 1993 tok/s | chat, coding, agents, long documents |
| LFM3 1.7B Liquid AI | Q8_0 | fits | 3.0 GB | 256k | 123tok/sest. | 2480 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 1.5B DeepSeek | Q8_0 | fits | 3.5 GB | 128k | 98tok/sest. | 1674 tok/s | chat, coding, long documents |
| MiniCPM5 2B openbmb | Q8_0 | fits | 4.7 GB | 89k128k with q8 cache | 68tok/sest. | 1000 tok/s | chat, coding, agents, long documents |
| Spark X2.5 4B XHToken | mlx-4bit | fits | 4.9 GB | 93k156k with q8 cache | 65tok/sest. | 982 tok/s | chat, coding, agents, long documents |
| LFM2.5 2.6B Liquid AI | Q8_0 | fits | 5.4 GB | 62k108k with q8 cache | 57tok/sest. | 1132 tok/s | chat, coding, agents |
| LFM2.5 VL 3B Liquid AI | Q8_0 | fits | 5.4 GB | 32k | 57tok/sest. | 1038 tok/s | chat, coding, agents |
| FrogNano 4B 2609 Microsoft | Q8_0 | fits | 6.2 GB | 63k104k with q8 cache | 48tok/sest. | 930 tok/s | chat, coding, agents |
| granite vision 4.1 4b IBM | Q8_0 | fits | 6.8 GB | 39k70k with q8 cache | 44tok/sest. | 725 tok/s | chat, coding |
| Ministral 3 3B Instruct 2512 Mistral AI | Q6_K | fits | 6.8 GB | 37k68k with q8 cache | 44tok/sest. | 727 tok/s | chat, coding, agents |
| DeepSeek R1 Distill Qwen 7B DeepSeek | Q4_K_M | fits | 7.0 GB | 38k66k with q8 cache | 42tok/sest. | 489 tok/s | chat, coding |
| granite 4.2 3b IBM | Q8_0 | fits | 7.0 GB | 36k64k with q8 cache | 42tok/sest. | 760 tok/s | chat, coding, agents |
| Qwen 3.8 27B Alibaba Qwen | UD-Q4_K_M | offload | 18.4 GB | – | 4tok/sest. | 107 tok/s | – |
| Qwen 3.6 27B Alibaba Qwen | Q4_K_M | offload | 18.7 GB | – | 4tok/sest. | 107 tok/s | – |
| Gemma 4 31B | Q4_K_M | offload | 21.2 GB | – | 3tok/sest. | 91 tok/s | – |
| Qwen 3.6 35B-A3B Alibaba Qwen | MXFP4 | offload | 21.8 GB | – | 17tok/sest. | 721 tok/s | chat |
| Qwen 3.5 27B Alibaba Qwen | Q4_K_M | offload | 18.6 GB | – | 4tok/sest. | 107 tok/s | – |
| Gemma 4 26B-A4B | MXFP4 | offload | 17.1 GB | – | 14tok/sest. | 700 tok/s | chat |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q4_K_M | offload | 22.1 GB | – | 17tok/sest. | 718 tok/s | chat |
| GLM 4.7 Flash Z.ai | Q4_K_M | offload | 19.6 GB | – | 9tok/sest. | 391 tok/s | – |
| Devstral Small 2 24B Mistral AI | Q4_K_M | offload | 19.2 GB | – | 4tok/sest. | 111 tok/s | – |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | MXFP4 | offload | 22.7 GB | – | 17tok/sest. | 811 tok/s | chat |
| gpt-oss 20B OpenAI | Q4_K_M | offload | 12.5 GB | – | 19tok/sest. | 676 tok/s | chat |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 29.2 GB | – | 19tok/sest. | 570 tok/s | chat |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | offload | 21.2 GB | – | 9tok/sest. | 335 tok/s | chat |
| Qwen3 32B Alibaba Qwen | Q4_K_M | offload | 27.3 GB | – | 2tok/sest. | 59 tok/s | – |
| Gemma 4 12B | Q4_K_M | offload | 8.3 GB | – | 23tok/sest. | 369 tok/s | chat, coding |
| Gemma 3 27B | Q4_K_M | offload | 19.2 GB | – | 4tok/sest. | 112 tok/s | – |
| Mistral Small 3.2 24B Mistral AI | Q4_K_M | offload | 19.2 GB | – | 4tok/sest. | 111 tok/s | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | offload | 27.4 GB | – | 2tok/sest. | 67 tok/s | – |
| Ministral 3 14B Mistral AI | Q4_K_M | offload | 13.6 GB | – | 7tok/sest. | 196 tok/s | – |
| Qwen3 14B Alibaba Qwen | Q4_K_M | offload | 14.3 GB | – | 6tok/sest. | 172 tok/s | – |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q4_K_M | offload | 10.1 GB | 13k25k with q8 cache | 13tok/sest. | 338 tok/s | chat |
| Qwen3 8B Alibaba Qwen | Q4_K_M | offload | 10.1 GB | 13k25k with q8 cache | 13tok/sest. | 338 tok/s | chat |
| Phi-4 14B Microsoft | Q4_K_M | offload | 15.4 GB | – | 5tok/sest. | 167 tok/s | – |
| Ministral 3 8B Mistral AI | Q4_K_M | offload | 10.0 GB | 13k24k with q8 cache | 13tok/sest. | 328 tok/s | chat |
| Granite 4.2 8B IBM | Q4_K_M | offload | 11.0 GB | 9k17k with q8 cache | 10tok/sest. | 296 tok/s | chat |
| Llama 3.1 8B Meta | Q4_K_M | offload | 9.5 GB | 16k29k with q8 cache | 15tok/sest. | 370 tok/s | chat |
| Mellum2.1 12B A2.5B Thinking JetBrains | Q4_K_M | offload | 9.6 GB | – | 35tok/sest. | 1253 tok/s | chat, coding, agents, long documents |
| GLM 4.6V Flash Z.ai | Q4_K_M | offload | 7.9 GB | 21k35k with q8 cache | 29tok/sest. | 327 tok/s | chat, coding |
| Kimi VL A3B Thinking 2506 Moonshot AI | Q4_K_M | offload | 11.7 GB | – | 21tok/sest. | 846 tok/s | chat, coding |
| GLM 4 9B 0414 Z.ai | mlx-4bit | offload | 8.7 GB | 2k4k with q8 cache | 19tok/sest. | 325 tok/s | chat |
| Kimi VL A3B Moonshot AI | mlx-5bit | offload | 12.9 GB | – | 18tok/sest. | 678 tok/s | chat |
| DeepSeek R1 Distill Llama 8B DeepSeek | Q4_K_M | offload | 9.5 GB | 16k29k with q8 cache | 15tok/sest. | 370 tok/s | chat |
| Ministral 3 8B Reasoning 2512 Mistral AI | Q4_K_M | offload | 10.0 GB | 13k24k with q8 cache | 13tok/sest. | 328 tok/s | chat |
| LFM2.5 24B A2B Liquid AI | Q4_K_M | offload | 17.7 GB | – | 12tok/sest. | 720 tok/s | chat |
| GLM 4.1V 9B Thinking Z.ai | mlx-8bit | offload | 13.1 GB | – | 7tok/sest. | 245 tok/s | – |
| Ministral 3 14B Reasoning 2512 Mistral AI | Q4_K_M | offload | 13.6 GB | – | 7tok/sest. | 196 tok/s | – |
| DeepSeek R1 Distill Qwen 14B DeepSeek | Q4_K_M | offload | 15.3 GB | – | 6tok/sest. | 157 tok/s | – |
| Muse Glimmer 30B meta-models | Q4_K_M | offload | 17.5 GB | – | 4tok/sest. | 105 tok/s | – |
| Devstral Small 2507 Mistral AI | Q4_K_M | offload | 19.2 GB | – | 4tok/sest. | 113 tok/s | – |
| Magistral Small 2506 Mistral AI | Q4_K_M | offload | 19.2 GB | – | 4tok/sest. | 113 tok/s | – |
| Magistral Small 2507 Mistral AI | Q4_K_M | offload | 19.2 GB | – | 4tok/sest. | 113 tok/s | – |
| Magistral Small 2509 Mistral AI | Q4_K_M | offload | 19.2 GB | – | 4tok/sest. | 111 tok/s | – |
| Qwen3.8 27B OBLITERATED OBLITERATUS | mlx-4bit | offload | 22.3 GB | – | 3tok/sest. | 100 tok/s | – |
| granite 4.2 30b IBM | Q4_K_M | offload | 25.7 GB | – | 3tok/sest. | 79 tok/s | – |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 93.8 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 102.6 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 75.2 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 78.8 GB | – | – | – | – |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | won't run | 40.7 GB | – | – | – | – |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | won't run | 52.2 GB | – | – | – | – |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | won't run | 46.9 GB | – | – | – | – |
| gpt-oss 120B OpenAI | Q4_K_M | won't run | 60.5 GB | – | – | – | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | won't run | 39.0 GB | – | – | – | – |
| GLM 4.5 Air Z.ai | Q2_K | won't run | 48.8 GB | – | – | – | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | won't run | 46.9 GB | – | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 50.5 GB | – | – | – | – |
| DeepSeek R1 DeepSeek | Q4_K_M | won't run | 379.7 GB | – | – | – | – |
| DeepSeek R1 0528 DeepSeek | Q4_K_M | won't run | 380.2 GB | – | – | – | – |
| DeepSeek R1 Distill Llama 70B DeepSeek | Q4_K_M | won't run | 50.5 GB | – | – | – | – |
| DeepSeek R1 Zero DeepSeek | Q4_K_M | won't run | 379.7 GB | – | – | – | – |
| DeepSeek V3 DeepSeek | Q4_K_M | won't run | 379.7 GB | – | – | – | – |
| DeepSeek V3 0324 DeepSeek | Q4_K_M | won't run | 379.7 GB | – | – | – | – |
| DeepSeek V3.1 DeepSeek | Q4_K_M | won't run | 380.6 GB | – | – | – | – |
| DeepSeek V3.1 Terminus DeepSeek | Q4_K_M | won't run | 380.6 GB | – | – | – | – |
| DeepSeek V3.2 DeepSeek | Q4_K_M | won't run | 380.6 GB | – | – | – | – |
| DeepSeek V4 Flash 0731 DeepSeek | MXFP4 | won't run | 149.2 GB | – | – | – | – |
| DeepSeek V4 Flash Vision Exp DeepSeek | MXFP4 | won't run | 158.0 GB | – | – | – | – |
| Devstral 2 123B Instruct 2512 Mistral AI | Q4_K_M | won't run | 81.6 GB | – | – | – | – |
| GLM 4.5 Z.ai | Q4_K_M | won't run | 214.0 GB | – | – | – | – |
| GLM 4.5V Z.ai | Q4_K_M | won't run | 65.9 GB | – | – | – | – |
| GLM 4.6 Z.ai | Q4_K_M | won't run | 213.2 GB | – | – | – | – |
| GLM 4.6V Z.ai | Q4_K_M | won't run | 72.2 GB | – | – | – | – |
| GLM 4.7 Z.ai | Q4_K_M | won't run | 214.0 GB | – | – | – | – |
| GLM 5 Z.ai | MXFP4 | won't run | 386.0 GB | – | – | – | – |
| GLM 5.1 Z.ai | MXFP4 | won't run | 423.6 GB | – | – | – | – |
| GLM 5.2 Z.ai | UD-Q4_K_M | won't run | 437.5 GB | – | – | – | – |
| GLM 5.3 Z.ai | Q8_0 | won't run | 750.0 GB | – | – | – | – |
| Kimi Dev 72B Moonshot AI | Q6_K | won't run | 70.8 GB | – | – | – | – |
| Kimi K2 Moonshot AI | Q4_K_M | won't run | 581.2 GB | – | – | – | – |
| Kimi K2 Instruct 0905 Moonshot AI | Q4_K_M | won't run | 581.6 GB | – | – | – | – |
| Kimi K2 Thinking Moonshot AI | Q4_K_M | won't run | 581.6 GB | – | – | – | – |
| Kimi K2.5 Moonshot AI | Q4_K_M | won't run | 581.6 GB | – | – | – | – |
| MiniMax M2 MiniMax | Q4_K_M | won't run | 137.5 GB | – | – | – | – |
| MiniMax M2.1 MiniMax | Q4_K_M | won't run | 137.5 GB | – | – | – | – |
| MiniMax M2.5 MiniMax | MXFP4 | won't run | 123.9 GB | – | – | – | – |
| MiniMax M3 MiniMax | MXFP4 | won't run | 244.3 GB | – | – | – | – |
| Mistral Medium 3.5 128B Mistral AI | Q4_K_M | won't run | 81.6 GB | – | – | – | – |
Specifications
From the manufacturer's published specifications; sources are linked where we have them.
- GPU
- GeForce RTX 5060 Ti 8GB
- Memory
- 8 GB GDDR7
- Memory bus
- 128-bit
- Memory bandwidth
- 448 GB/s
- FP16 compute
- 23.704 TFLOPS
- Software
- CUDA
- Board power
- 180 W
- PCIe generation
- Gen 5
- PCIe lanes
- x8
Compare with
Questions
- How much memory does the NVIDIA GeForce RTX 5060 Ti 8GB have for AI models?
- The NVIDIA GeForce RTX 5060 Ti 8GB has 8 GB of GDDR7 memory with 448 GB/s of bandwidth, which sets how fast it generates text.
- What is the best model the NVIDIA GeForce RTX 5060 Ti 8GB can run locally?
- Qwen 3.5 9B (Q4_K_M) fits fully in its memory at 32k context and generates at about 41 tok/s, an estimate from its memory bandwidth. 18 of the 129 models we track fit at that context.
- Can the NVIDIA GeForce RTX 5060 Ti 8GB run DeepSeek V4 Flash?
- No: even at UD-Q2_K_XL, DeepSeek V4 Flash needs about 94 GB at 32k context, more than the NVIDIA GeForce RTX 5060 Ti 8GB and system RAM can hold.
- How much does the NVIDIA GeForce RTX 5060 Ti 8GB cost in Germany?
- The best new price for the NVIDIA GeForce RTX 5060 Ti 8GB in Germany is 518 € at eBay; used, it starts at 529 € (asking price).
Speeds on this page are for 32k context. See the best hardware for local AI at every budget.