RTX 5060 Ti 16GB entry box
£1,595
Parts
Compatibility: No problems found.Est. load 320 W of 750 W · spikes to 428 W
| Component | Selection | Price | Where | Buy |
|---|---|---|---|---|
| GPU | NVIDIA GeForce RTX 5060 Ti 16GB 16 GB · 448 GB/s · 180 W | £550 | eBay | Buy |
| CPU | AMD Ryzen 5 7600 AM5 · 6 cores · 24 PCIe lanes | £158 | Amazon | Buy |
| Motherboard | MSI MAG B650 Tomahawk WiFi AM5 · DDR5 · ATX | £180 | eBay | Buy |
| Memory | Corsair Vengeance 32GB (2×16GB) DDR5-6000 32 GB · DDR5-6000 | £380 | eBay | Buy |
| Power supply | Corsair RM750e ATX 3.1 750W 750 W · ATX 3 | £84 | Amazon | Buy |
| Case | Corsair 4000D Airflow GPUs up to 360 mm | £63 | Amazon | Buy |
| Storage | Crucial P3 Plus 1TB 1000 GB NVME | £180 | eBay | Buy |
| Total | £1,595 | |||
- Note: Check the power connectors on the card you buy: this power supply has 1 12V-2x6 and 3 8-pin PCIe connectors.
- Note: Corsair 4000D Airflow fits graphics cards up to 360 mm: check the length of the card you buy.
What this build runs
The most precise quant that fits, at 8k context. Estimates, not measurements.
| Model | Quant | Fits | Memory | Max context | Decode @8k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Devstral Small 2 24B Mistral AI | Q4_K_M | fits | 15.3 GB | 8k15k with q8 cache | 18tok/sest. | 417 tok/s | chat |
| gpt-oss 20B OpenAI | MXFP4 | fits | 12.2 GB | 116k128k with q8 cache | 63tok/sest. | 2295 tok/s | chat, coding, agents, long documents |
| Gemma 4 12B | Q8_0 | fits | 13.0 GB | 120k193k with q8 cache | 21tok/sest. | 842 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 9.9 GB | 155k256k with q8 cache | 28tok/sest. | 1066 tok/s | chat, coding, long documents |
| Mistral Small 3.2 24B Mistral AI | Q4_K_M | fits | 15.3 GB | 8k15k with q8 cache | 18tok/sest. | 417 tok/s | chat |
| Qwen3 14B Alibaba Qwen | Q6_K | fits | 13.3 GB | 21k38k with q8 cache | 21tok/sest. | 643 tok/s | chat |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 15.4 GB | 8k14k with q8 cache | 18tok/sest. | 692 tok/s | chat |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 10.0 GB | 44k81k with q8 cache | 28tok/sest. | 1125 tok/s | chat, coding |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 10.0 GB | 40k | 28tok/sest. | 1125 tok/s | chat, coding |
| Phi-4 14B Microsoft | Q6_K | fits | 13.5 GB | 16k | 20tok/sest. | 647 tok/s | chat |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 5.2 GB | 256k | 58tok/sest. | 2146 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 10.2 GB | 45k82k with q8 cache | 27tok/sest. | 1051 tok/s | chat, coding |
| Granite 4.2 8B IBM | Q8_0 | fits | 10.7 GB | 36k67k with q8 cache | 26tok/sest. | 1044 tok/s | chat |
| Gemma 4 E4B | Q8_0 | fits | 8.6 GB | 128k | 33tok/sest. | 1292 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 9.5 GB | 119k125k with q8 cache | 114tok/sest. | 7539 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 7.9 GB | 65k118k with q8 cache | 36tok/sest. | 1162 tok/s | chat, coding |
| Qwen2.5 0.5B Alibaba Qwen | Q8_0 | fits | 1.3 GB | 32k | 440tok/sest. | 15779 tok/s | chat, coding, long documents |
| Qwen3.5 0.8B Alibaba Qwen | Q8_0 | fits | 1.6 GB | 256k | 298tok/sest. | 10856 tok/s | chat, coding, agents, long documents |
| Qwen3.5 2B Alibaba Qwen | Q5_K_M | fits | 2.2 GB | 256k | 179tok/sest. | 4453 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 1.5B DeepSeek | Q8_0 | fits | 2.7 GB | 128k | 130tok/sest. | 4966 tok/s | chat, coding, long documents |
| MiniCPM5 2B openbmb | Q8_0 | fits | 3.6 GB | 128k | 92tok/sest. | 3283 tok/s | chat, coding, agents, long documents |
| LFM2.5 2.6B Liquid AI | Q8_0 | fits | 3.9 GB | 128k | 82tok/sest. | 3304 tok/s | chat, coding, agents, long documents |
| LFM2.5 VL 3B Liquid AI | Q8_0 | fits | 3.9 GB | 32k | 82tok/sest. | 2916 tok/s | chat, coding, agents, long documents |
| granite vision 4.1 4b IBM | Q8_0 | fits | 4.7 GB | 128k | 65tok/sest. | 2187 tok/s | chat, coding, long documents |
| granite 4.2 3b IBM | Q8_0 | fits | 5.0 GB | 128k | 61tok/sest. | 2351 tok/s | chat, coding, agents, long documents |
| Kimi VL A3B Moonshot AI | mlx-6bit | fits | 13.9 GB | 51k84k with q8 cache | 60tok/sest. | 3063 tok/s | chat, coding, agents, long documents |
| Mellum2.1 12B A2.5B Thinking JetBrains | Q8_0 | fits | 12.9 GB | 128k | 59tok/sest. | 3633 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 7B DeepSeek | Q8_0 | fits | 8.7 GB | 118k128k with q8 cache | 32tok/sest. | 1253 tok/s | chat, coding, long documents |
| DeepSeek R1 Distill Llama 8B DeepSeek | Q8_0 | fits | 9.7 GB | 51k93k with q8 cache | 29tok/sest. | 1162 tok/s | chat, coding |
| Ministral 3 8B Reasoning 2512 Mistral AI | Q8_0 | fits | 10.2 GB | 45k82k with q8 cache | 27tok/sest. | 1051 tok/s | chat, coding |
| GLM 4.6V Flash Z.ai | Q8_0 | fits | 10.4 GB | 119k128k with q8 cache | 27tok/sest. | 909 tok/s | chat, coding, long documents |
| GLM 4.1V 9B Thinking Z.ai | mlx-8bit | fits | 12.0 GB | 64k | 23tok/sest. | 909 tok/s | chat, coding |
| DeepSeek R1 Distill Qwen 14B DeepSeek | Q6_K | fits | 13.5 GB | 17k32k with q8 cache | 20tok/sest. | 630 tok/s | chat |
| Devstral Small 2507 Mistral AI | Q4_K_M | fits | 15.3 GB | 8k15k with q8 cache | 18tok/sest. | 425 tok/s | chat |
| Magistral Small 2506 Mistral AI | Q4_K_M | fits | 15.3 GB | 8k15k with q8 cache | 18tok/sest. | 425 tok/s | chat |
| Magistral Small 2507 Mistral AI | Q4_K_M | fits | 15.3 GB | 8k15k with q8 cache | 18tok/sest. | 425 tok/s | chat |
| Magistral Small 2509 Mistral AI | Q4_K_M | fits | 15.3 GB | 8k15k with q8 cache | 18tok/sest. | 417 tok/s | chat |
| Qwen 3.8 27B Alibaba Qwen | UD-Q4_K_M | offload | 16.7 GB | – | 12tok/sest. | 352 tok/s | – |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | offload | 40.0 GB | – | 13tok/sest. | 610 tok/s | – |
| Qwen 3.6 27B Alibaba Qwen | Q4_K_M | offload | 17.0 GB | – | 11tok/sest. | 348 tok/s | – |
| Gemma 4 31B | Q4_K_M | offload | 19.2 GB | – | 8tok/sest. | 283 tok/s | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | offload | 38.4 GB | – | 20tok/sest. | 811 tok/s | chat |
| Qwen 3.6 35B-A3B Alibaba Qwen | MXFP4 | offload | 21.2 GB | – | 39tok/sest. | 2633 tok/s | chat, coding, agents |
| Qwen 3.5 27B Alibaba Qwen | Q4_K_M | offload | 17.0 GB | – | 12tok/sest. | 348 tok/s | – |
| Gemma 4 26B-A4B | UD-Q4_K_M | offload | 16.9 GB | – | 41tok/sest. | 2283 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q4_K_M | offload | 21.5 GB | – | 38tok/sest. | 2614 tok/s | chat, coding |
| GLM 4.7 Flash Z.ai | Q4_K_M | offload | 18.2 GB | – | 30tok/sest. | 1603 tok/s | chat |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 33.4 GB | – | 16tok/sest. | 2210 tok/s | chat |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | offload | 18.8 GB | – | 37tok/sest. | 2036 tok/s | chat |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 28.8 GB | – | 30tok/sest. | 2148 tok/s | chat, coding, long documents |
| Qwen3 32B Alibaba Qwen | Q4_K_M | offload | 21.2 GB | – | 6tok/sest. | 237 tok/s | – |
| Gemma 3 27B | Q4_K_M | offload | 17.2 GB | – | 11tok/sest. | 351 tok/s | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | offload | 21.2 GB | – | 6tok/sest. | 247 tok/s | – |
| LFM2.5 24B A2B Liquid AI | Q4_K_M | offload | 15.7 GB | 4k8k with q8 cache | 80tok/sest. | 3916 tok/s | chat, coding |
| granite 4.2 30b IBM | Q4_K_M | offload | 19.5 GB | – | 8tok/sest. | 292 tok/s | – |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 91.6 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 102.2 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 74.5 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 72.8 GB | – | – | – | – |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | won't run | 51.9 GB | – | – | – | – |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | won't run | 46.2 GB | – | – | – | – |
| gpt-oss 120B OpenAI | Q4_K_M | won't run | 59.5 GB | – | – | – | – |
| GLM 4.5 Air Z.ai | Q2_K | won't run | 44.4 GB | – | – | – | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | won't run | 46.2 GB | – | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 42.8 GB | – | – | – | – |
| DeepSeek R1 DeepSeek | Q4_K_M | won't run | 377.9 GB | – | – | – | – |
| DeepSeek R1 0528 DeepSeek | Q4_K_M | won't run | 378.4 GB | – | – | – | – |
| DeepSeek R1 Distill Llama 70B DeepSeek | Q4_K_M | won't run | 42.8 GB | – | – | – | – |
| DeepSeek V3 0324 DeepSeek | Q4_K_M | won't run | 377.9 GB | – | – | – | – |
| DeepSeek V3.1 DeepSeek | Q4_K_M | won't run | 378.8 GB | – | – | – | – |
| DeepSeek V3.2 DeepSeek | Q4_K_M | won't run | 378.8 GB | – | – | – | – |
| DeepSeek V4 Flash 0731 DeepSeek | MXFP4 | won't run | 147.1 GB | – | – | – | – |
| DeepSeek V4 Flash Vision Exp DeepSeek | MXFP4 | won't run | 155.8 GB | – | – | – | – |
| Devstral 2 123B Instruct 2512 Mistral AI | Q8_0 | won't run | 127.2 GB | – | – | – | – |
| GLM 4.5V Z.ai | Q4_K_M | won't run | 61.4 GB | – | – | – | – |
| GLM 4.6V Z.ai | Q4_K_M | won't run | 67.8 GB | – | – | – | – |
| GLM 4.7 Z.ai | Q4_K_M | won't run | 205.2 GB | – | – | – | – |
| GLM 5.1 Z.ai | MXFP4 | won't run | 421.4 GB | – | – | – | – |
| GLM 5.2 Z.ai | UD-Q4_K_M | won't run | 435.3 GB | – | – | – | – |
| GLM 5.3 Z.ai | Q8_0 | won't run | 747.8 GB | – | – | – | – |
| Kimi K2 Moonshot AI | Q4_K_M | won't run | 579.4 GB | – | – | – | – |
| Kimi K2 Instruct 0905 Moonshot AI | Q4_K_M | won't run | 579.9 GB | – | – | – | – |
| Kimi K2 Thinking Moonshot AI | Q4_K_M | won't run | 579.9 GB | – | – | – | – |
| Kimi K2.5 Moonshot AI | Q4_K_M | won't run | 579.9 GB | – | – | – | – |
| MiniMax M2 MiniMax | Q4_K_M | won't run | 131.5 GB | – | – | – | – |
| MiniMax M2.1 MiniMax | Q4_K_M | won't run | 131.5 GB | – | – | – | – |
| MiniMax M2.5 MiniMax | MXFP4 | won't run | 118.0 GB | – | – | – | – |
| MiniMax M3 MiniMax | UD-Q4_K_M | won't run | 248.4 GB | – | – | – | – |
| Mistral Medium 3.5 128B Mistral AI | Q4_K_M | won't run | 73.3 GB | – | – | – | – |