RTX 5070 Ti 16GB coding box
£1,835
Parts
Compatibility: No problems found.Est. load 440 W of 850 W · spikes to 620 W
| Component | Selection | Price | Where | Buy |
|---|---|---|---|---|
| GPU | NVIDIA GeForce RTX 5070 Ti 16 GB · 896 GB/s · 300 W | £975 | eBay | Buy |
| CPU | AMD Ryzen 7 7700 AM5 · 8 cores · 24 PCIe lanes | £197 | Amazon | Buy |
| Motherboard | MSI MAG B650 Tomahawk WiFi AM5 · DDR5 · ATX | £180 | eBay | Buy |
| Memory | G.Skill Flare X5 64GB (2×32GB) DDR5-6000 64 GB · DDR5-6000 | Not sold now | – | |
| Power supply | Corsair RM850x ATX 3.1 850W 850 W · ATX 3 | £94 | eBay | Buy |
| Case | Fractal Design North GPUs up to 355 mm | £139 | eBay | Buy |
| Storage | Samsung 990 Pro 2TB 2000 GB NVME | £250 | eBay | Buy |
| Total + 1 without a price | £1,835 | |||
- Note: Check the power connectors on the card you buy: this power supply has 1 12V-2x6 and 3 8-pin PCIe connectors.
- Note: Fractal Design North fits graphics cards up to 355 mm: check the length of the card you buy.
What this build runs
The most precise quant that fits, at 64k context. Estimates, not measurements.
| Model | Quant | Fits | Memory | Max context | Decode @64k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| gpt-oss 20B OpenAI | MXFP4 | fits | 13.9 GB | 116k128k with q8 cache | 83tok/sest. | 2666 tok/s | chat, coding, agents, long documents |
| Gemma 4 12B | Q8_0 | fits | 14.2 GB | 120k193k with q8 cache | 40tok/sest. | 1371 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 12.0 GB | 155k256k with q8 cache | 47tok/sest. | 1678 tok/s | chat, coding, long documents |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q4_K_M | fits | 14.8 GB | 68k124k with q8 cache | 38tok/sest. | 1109 tok/s | chat, coding |
| Qwen3 8B Alibaba Qwen | Q4_K_M | fits | 14.8 GB | 40k | 38tok/sest. | 1109 tok/s | chat, coding |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 7.3 GB | 256k | 83tok/sest. | 2909 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q5_K_M | fits | 15.2 GB | 65k118k with q8 cache | 37tok/sest. | 1097 tok/s | chat, coding |
| Gemma 4 E4B | Q8_0 | fits | 10.5 GB | 128k | 55tok/sest. | 2198 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 12.5 GB | 119k125k with q8 cache | 78tok/sest. | 4691 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 15.2 GB | 65k118k with q8 cache | 37tok/sest. | 1191 tok/s | chat, coding |
| Qwen2.5 0.5B Alibaba Qwen | Q8_0 | fits | 2.3 GB | 32k | 416tok/sest. | 10403 tok/s | chat, coding, long documents |
| Qwen3.5 0.8B Alibaba Qwen | Q8_0 | fits | 2.6 GB | 256k | 340tok/sest. | 11795 tok/s | chat, coding, agents, long documents |
| Qwen3.5 2B Alibaba Qwen | Q5_K_M | fits | 3.2 GB | 256k | 246tok/sest. | 6430 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 1.5B DeepSeek | Q8_0 | fits | 4.6 GB | 128k | 147tok/sest. | 4308 tok/s | chat, coding, long documents |
| MiniCPM5 2B openbmb | Q8_0 | fits | 6.2 GB | 128k | 101tok/sest. | 2428 tok/s | chat, coding, agents, long documents |
| Mellum2.1 12B A2.5B Thinking JetBrains | Q8_0 | fits | 14.0 GB | 128k | 92tok/sest. | 4347 tok/s | chat, coding, agents, long documents |
| LFM2.5 2.6B Liquid AI | Q8_0 | fits | 7.5 GB | 128k | 81tok/sest. | 2945 tok/s | chat, coding, agents, long documents |
| LFM2.5 VL 3B Liquid AI | Q8_0 | fits | 7.5 GB | 32k | 81tok/sest. | 2769 tok/s | chat, coding, agents, long documents |
| Kimi VL A3B Moonshot AI | mlx-5bit | fits | 14.0 GB | 103k128k with q8 cache | 79tok/sest. | 2989 tok/s | chat, coding, agents, long documents |
| granite vision 4.1 4b IBM | Q8_0 | fits | 9.4 GB | 128k | 62tok/sest. | 1849 tok/s | chat, coding, long documents |
| granite 4.2 3b IBM | Q8_0 | fits | 9.7 GB | 128k | 60tok/sest. | 1909 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 7B DeepSeek | Q8_0 | fits | 12.1 GB | 118k128k with q8 cache | 47tok/sest. | 1395 tok/s | chat, coding, long documents |
| GLM 4.6V Flash Z.ai | Q8_0 | fits | 12.9 GB | 119k128k with q8 cache | 44tok/sest. | 942 tok/s | chat, coding, agents, long documents |
| GLM 4.1V 9B Thinking Z.ai | mlx-8bit | fits | 14.5 GB | 64k | 38tok/sest. | 942 tok/s | chat, coding, long documents |
| DeepSeek R1 Distill Llama 8B DeepSeek | Q6_K | fits | 15.2 GB | 65k118k with q8 cache | 37tok/sest. | 1191 tok/s | chat, coding |
| Ministral 3 8B Reasoning 2512 Mistral AI | Q5_K_M | fits | 15.2 GB | 65k118k with q8 cache | 37tok/sest. | 1097 tok/s | chat, coding, agents |
| Qwen 3.8 27B Alibaba Qwen | UD-Q4_K_M | offload | 20.5 GB | – | 8tok/sest. | 487 tok/s | chat |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | offload | 41.7 GB | – | 10tok/sest. | 737 tok/s | – |
| Qwen 3.6 27B Alibaba Qwen | Q4_K_M | offload | 20.9 GB | – | 8tok/sest. | 483 tok/s | chat |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | offload | 47.8 GB | – | 12tok/sest. | 1629 tok/s | chat |
| gpt-oss 120B OpenAI | Q4_K_M | offload | 61.8 GB | – | 8tok/sest. | 1012 tok/s | – |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | offload | 52.6 GB | – | 8tok/sest. | 793 tok/s | – |
| Gemma 4 31B | Q4_K_M | offload | 23.9 GB | – | 5tok/sest. | 410 tok/s | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | offload | 39.9 GB | – | 13tok/sest. | 736 tok/s | chat |
| Qwen 3.6 35B-A3B Alibaba Qwen | MXFP4 | offload | 22.6 GB | – | 27tok/sest. | 2784 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q4_K_M | offload | 20.8 GB | – | 8tok/sest. | 483 tok/s | chat |
| Gemma 4 26B-A4B | UD-Q4_K_M | offload | 18.3 GB | – | 33tok/sest. | 3206 tok/s | chat, coding, agents, long documents |
| GLM 4.5 Air Z.ai | Q2_K | offload | 54.8 GB | – | 2tok/sest. | 205 tok/s | – |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q4_K_M | offload | 22.9 GB | – | 26tok/sest. | 2766 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q4_K_M | offload | 21.4 GB | – | 14tok/sest. | 1421 tok/s | chat, coding |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | offload | 47.8 GB | – | 14tok/sest. | 1858 tok/s | chat |
| Devstral Small 2 24B Mistral AI | Q4_K_M | offload | 24.4 GB | 8k15k with q8 cache | 5tok/sest. | 438 tok/s | chat |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 34.1 GB | – | 15tok/sest. | 2836 tok/s | chat |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 29.6 GB | – | 26tok/sest. | 1962 tok/s | chat, coding, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | offload | 24.4 GB | – | 9tok/sest. | 959 tok/s | chat |
| Qwen3 32B Alibaba Qwen | Q4_K_M | offload | 35.5 GB | – | 3tok/sest. | 192 tok/s | – |
| Gemma 3 27B | Q4_K_M | offload | 21.9 GB | – | 7tok/sest. | 527 tok/s | chat |
| Mistral Small 3.2 24B Mistral AI | Q4_K_M | offload | 24.4 GB | 8k15k with q8 cache | 5tok/sest. | 438 tok/s | chat |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | offload | 35.6 GB | – | 3tok/sest. | 237 tok/s | – |
| Llama 3.3 70B Meta | Q4_K_M | offload | 60.7 GB | – | 1tok/sest. | 95 tok/s | – |
| Ministral 3 14B Mistral AI | Q4_K_M | offload | 18.7 GB | 43k79k with q8 cache | 11tok/sest. | 711 tok/s | chat, coding |
| Qwen3 14B Alibaba Qwen | Q4_K_M | offload | 19.5 GB | 38k40k with q8 cache | 10tok/sest. | 609 tok/s | chat, coding |
| Phi-4 14B Microsoft | Q4_K_M | offload | 21.9 GB | 16k | 7tok/sest. | 574 tok/s | chat, coding |
| Granite 4.2 8B IBM | Q4_K_M | offload | 16.2 GB | 58k107k with q8 cache | 23tok/sest. | 980 tok/s | chat, coding, agents |
| LFM2.5 24B A2B Liquid AI | Q4_K_M | offload | 20.4 GB | 4k8k with q8 cache | 16tok/sest. | 2272 tok/s | chat, coding, agents |
| DeepSeek R1 Distill Qwen 14B DeepSeek | Q4_K_M | offload | 21.4 GB | 32k60k with q8 cache | 7tok/sest. | 527 tok/s | chat, coding |
| Devstral Small 2507 Mistral AI | Q4_K_M | offload | 24.4 GB | 8k15k with q8 cache | 5tok/sest. | 443 tok/s | chat |
| Magistral Small 2506 Mistral AI | Q4_K_M | offload | 24.4 GB | 8k15k with q8 cache | 5tok/sest. | 443 tok/s | chat |
| Magistral Small 2507 Mistral AI | Q4_K_M | offload | 24.4 GB | 8k15k with q8 cache | 5tok/sest. | 443 tok/s | chat |
| Magistral Small 2509 Mistral AI | Q4_K_M | offload | 24.4 GB | 8k15k with q8 cache | 5tok/sest. | 438 tok/s | chat |
| granite 4.2 30b IBM | Q4_K_M | offload | 33.9 GB | – | 3tok/sest. | 282 tok/s | – |
| GLM 4.5V Z.ai | Q4_K_M | offload | 71.8 GB | – | 2tok/sest. | 201 tok/s | – |
| DeepSeek R1 Distill Llama 70B DeepSeek | Q4_K_M | offload | 60.7 GB | – | 1tok/sest. | 95 tok/s | – |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 96.6 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 103.1 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 76.1 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 86.7 GB | – | – | – | – |
| DeepSeek R1 DeepSeek | Q4_K_M | won't run | 382.0 GB | – | – | – | – |
| DeepSeek R1 0528 DeepSeek | Q4_K_M | won't run | 382.5 GB | – | – | – | – |
| DeepSeek V3 0324 DeepSeek | Q4_K_M | won't run | 382.0 GB | – | – | – | – |
| DeepSeek V3.1 DeepSeek | Q4_K_M | won't run | 382.9 GB | – | – | – | – |
| DeepSeek V3.2 DeepSeek | Q4_K_M | won't run | 382.9 GB | – | – | – | – |
| DeepSeek V4 Flash 0731 DeepSeek | MXFP4 | won't run | 152.1 GB | – | – | – | – |
| DeepSeek V4 Flash Vision Exp DeepSeek | MXFP4 | won't run | 160.9 GB | – | – | – | – |
| Devstral 2 123B Instruct 2512 Mistral AI | Q8_0 | won't run | 146.8 GB | – | – | – | – |
| GLM 4.6V Z.ai | Q4_K_M | won't run | 78.2 GB | – | – | – | – |
| GLM 4.7 Z.ai | Q4_K_M | won't run | 225.7 GB | – | – | – | – |
| GLM 5.1 Z.ai | MXFP4 | won't run | 426.5 GB | – | – | – | – |
| GLM 5.2 Z.ai | UD-Q4_K_M | won't run | 440.4 GB | – | – | – | – |
| GLM 5.3 Z.ai | Q8_0 | won't run | 752.9 GB | – | – | – | – |
| Kimi K2 Moonshot AI | Q4_K_M | won't run | 583.5 GB | – | – | – | – |
| Kimi K2 Instruct 0905 Moonshot AI | Q4_K_M | won't run | 583.9 GB | – | – | – | – |
| Kimi K2 Thinking Moonshot AI | Q4_K_M | won't run | 583.9 GB | – | – | – | – |
| Kimi K2.5 Moonshot AI | Q4_K_M | won't run | 583.9 GB | – | – | – | – |
| MiniMax M2 MiniMax | Q4_K_M | won't run | 145.4 GB | – | – | – | – |
| MiniMax M2.1 MiniMax | Q4_K_M | won't run | 145.4 GB | – | – | – | – |
| MiniMax M2.5 MiniMax | MXFP4 | won't run | 131.8 GB | – | – | – | – |
| MiniMax M3 MiniMax | UD-Q4_K_M | won't run | 255.3 GB | – | – | – | – |
| Mistral Medium 3.5 128B Mistral AI | Q4_K_M | won't run | 92.8 GB | – | – | – | – |