RTX 5090 32GB
£6,555
Parts
Compatibility: No problems found.Est. load 820 W of 1200 W · spikes to 1165 W
| Component | Selection | Price | Where | Buy |
|---|---|---|---|---|
| GPU | NVIDIA GeForce RTX 5090 32 GB · 1792 GB/s · 575 W | £5,000 | eBay | Buy |
| CPU | AMD Ryzen 9 9950X AM5 · 16 cores · 24 PCIe lanes | £442 | Amazon | Buy |
| Motherboard | MSI MPG X870E Carbon WiFi AM5 · DDR5 · ATX | £441 | eBay | Buy |
| Memory | Kingston Fury Beast 96GB (2×48GB) DDR5-6400 96 GB · DDR5-6400 | Not sold now | – | |
| Power supply | Seasonic Vertex GX-1200 1200W 1200 W · ATX 3 | £136 | eBay (used) | Buy |
| Case | Lian Li O11 Dynamic EVO GPUs up to 426 mm | £115 | eBay (used) | Buy |
| Storage | WD Black SN850X 4TB 4000 GB NVME | £420 | eBay | Buy |
| Total + 1 without a price | £6,555 | |||
- Note: Check the power connectors on the card you buy: this power supply has 1 12V-2x6 and 3 8-pin PCIe connectors.
- Note: Lian Li O11 Dynamic EVO fits graphics cards up to 426 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 |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | Q6_K | fits | 27.4 GB | 121k213k with q8 cache | 39tok/sest. | 1374 tok/s | chat, coding, agents, long documents |
| Qwen 3.6 27B Alibaba Qwen | Q6_K | fits | 26.2 GB | 140k245k with q8 cache | 41tok/sest. | 1374 tok/s | chat, coding, agents, long documents |
| Gemma 4 31B | Q6_K | fits | 30.3 GB | 76k143k with q8 cache | 35tok/sest. | 1255 tok/s | chat, coding, agents |
| Qwen 3.6 35B-A3B Alibaba Qwen | Q6_K | fits | 31.2 GB | 71k112k with q8 cache | 167tok/sest. | 8273 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q6_K | fits | 26.1 GB | 141k246k with q8 cache | 41tok/sest. | 1374 tok/s | chat, coding, agents, long documents |
| Gemma 4 26B-A4B | Q8_0 | fits | 27.5 GB | 216k256k with q8 cache | 117tok/sest. | 8470 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q6_K | fits | 29.3 GB | 148k232k with q8 cache | 175tok/sest. | 8273 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q6_K | fits | 27.4 GB | 133k198k with q8 cache | 87tok/sest. | 4104 tok/s | chat, coding, agents, long documents |
| Devstral Small 2 24B Mistral AI | Q6_K | fits | 29.1 GB | 78k142k with q8 cache | 37tok/sest. | 1353 tok/s | chat, coding, agents |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | fits | 29.6 GB | 196k267k with q8 cache | 277tok/sest. | 6645 tok/s | chat, coding, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 13.9 GB | 128k | 165tok/sest. | 6332 tok/s | chat, coding, agents, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q6_K | fits | 30.4 GB | 73k131k with q8 cache | 75tok/sest. | 2960 tok/s | chat, coding, agents |
| Gemma 4 12B | Q8_0 | fits | 14.2 GB | 256k | 79tok/sest. | 3256 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 12.0 GB | 256k | 95tok/sest. | 3985 tok/s | chat, coding, long documents |
| Gemma 3 27B | Q6_K | fits | 27.1 GB | 114k128k with q8 cache | 40tok/sest. | 1539 tok/s | chat, coding, long documents |
| Mistral Small 3.2 24B Mistral AI | Q6_K | fits | 29.1 GB | 78k128k with q8 cache | 37tok/sest. | 1353 tok/s | chat, coding |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 24.4 GB | 106k194k with q8 cache | 44tok/sest. | 1905 tok/s | chat, coding |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 25.7 GB | 40k | 42tok/sest. | 1668 tok/s | chat, coding |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 18.2 GB | 128k | 61tok/sest. | 2634 tok/s | chat, coding, long documents |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 18.2 GB | 40k | 61tok/sest. | 2634 tok/s | chat, coding, long documents |
| Phi-4 14B Microsoft | Q8_0 | fits | 28.1 GB | 16k | 38tok/sest. | 1675 tok/s | chat, coding |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 7.3 GB | 256k | 166tok/sest. | 6908 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 18.0 GB | 160k256k with q8 cache | 61tok/sest. | 2606 tok/s | chat, coding, long documents |
| Granite 4.2 8B IBM | Q8_0 | fits | 19.8 GB | 128k | 55tok/sest. | 2408 tok/s | chat, coding, agents, long documents |
| Gemma 4 E4B | Q8_0 | fits | 10.5 GB | 128k | 110tok/sest. | 5220 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 12.5 GB | 125k | 156tok/sest. | 11140 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 15.2 GB | 128k | 73tok/sest. | 2829 tok/s | chat, coding, long documents |
| Qwen2.5 0.5B Alibaba Qwen | Q8_0 | fits | 2.3 GB | 32k | 831tok/sest. | 24707 tok/s | chat, coding, long documents |
| Qwen3.5 0.8B Alibaba Qwen | Q8_0 | fits | 2.6 GB | 256k | 679tok/sest. | 28012 tok/s | chat, coding, agents, long documents |
| Qwen3.5 2B Alibaba Qwen | Q5_K_M | fits | 3.2 GB | 256k | 492tok/sest. | 15271 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 1.5B DeepSeek | Q8_0 | fits | 4.6 GB | 128k | 294tok/sest. | 10233 tok/s | chat, coding, long documents |
| MiniCPM5 2B openbmb | Q8_0 | fits | 6.2 GB | 128k | 202tok/sest. | 5767 tok/s | chat, coding, agents, long documents |
| Mellum2.1 12B A2.5B Thinking JetBrains | Q8_0 | fits | 14.0 GB | 128k | 183tok/sest. | 10323 tok/s | chat, coding, agents, long documents |
| LFM2.5 2.6B Liquid AI | Q8_0 | fits | 7.5 GB | 128k | 161tok/sest. | 6994 tok/s | chat, coding, agents, long documents |
| LFM2.5 VL 3B Liquid AI | Q8_0 | fits | 7.5 GB | 32k | 161tok/sest. | 6577 tok/s | chat, coding, agents, long documents |
| Kimi VL A3B Moonshot AI | mlx-8bit | fits | 19.6 GB | 128k | 126tok/sest. | 7099 tok/s | chat, coding, agents, long documents |
| granite vision 4.1 4b IBM | Q8_0 | fits | 9.4 GB | 128k | 124tok/sest. | 4392 tok/s | chat, coding, long documents |
| granite 4.2 3b IBM | Q8_0 | fits | 9.7 GB | 128k | 120tok/sest. | 4534 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 7B DeepSeek | Q8_0 | fits | 12.1 GB | 128k | 94tok/sest. | 3313 tok/s | chat, coding, long documents |
| LFM2.5 24B A2B Liquid AI | Q8_0 | fits | 29.8 GB | 82k128k with q8 cache | 89tok/sest. | 6382 tok/s | chat, coding, agents, long documents |
| GLM 4.6V Flash Z.ai | Q8_0 | fits | 12.9 GB | 128k | 88tok/sest. | 2236 tok/s | chat, coding, agents, long documents |
| GLM 4.1V 9B Thinking Z.ai | mlx-8bit | fits | 14.5 GB | 64k | 77tok/sest. | 2236 tok/s | chat, coding, long documents |
| DeepSeek R1 Distill Llama 8B DeepSeek | Q8_0 | fits | 17.0 GB | 128k | 65tok/sest. | 2829 tok/s | chat, coding, long documents |
| Ministral 3 8B Reasoning 2512 Mistral AI | Q8_0 | fits | 18.0 GB | 160k256k with q8 cache | 61tok/sest. | 2606 tok/s | chat, coding, agents, long documents |
| Devstral Small 2507 Mistral AI | Q5_K_M | fits | 26.7 GB | 93k128k with q8 cache | 40tok/sest. | 1371 tok/s | chat, coding, agents |
| Magistral Small 2507 Mistral AI | Q5_K_M | fits | 26.7 GB | 40k | 40tok/sest. | 1371 tok/s | chat, coding, agents |
| Magistral Small 2509 Mistral AI | Q5_K_M | fits | 26.7 GB | 93k128k with q8 cache | 40tok/sest. | 1353 tok/s | chat, coding, agents |
| DeepSeek R1 Distill Qwen 14B DeepSeek | Q8_0 | fits | 27.7 GB | 83k128k with q8 cache | 39tok/sest. | 1523 tok/s | chat, coding |
| Magistral Small 2506 Mistral AI | Q6_K | fits | 29.1 GB | 40k | 37tok/sest. | 1371 tok/s | chat, coding |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | offload | 96.6 GB | – | 4tok/sest. | 246 tok/s | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | offload | 103.1 GB | – | 5tok/sest. | 369 tok/s | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | offload | 76.1 GB | – | 2tok/sest. | 455 tok/s | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | offload | 86.7 GB | – | 3tok/sest. | 800 tok/s | – |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | offload | 41.7 GB | – | 25tok/sest. | 2425 tok/s | chat, coding, agents, long documents |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | offload | 47.8 GB | – | 24tok/sest. | 5229 tok/s | chat, coding, agents, long documents |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | offload | 52.6 GB | – | 14tok/sest. | 2503 tok/s | chat |
| gpt-oss 120B OpenAI | Q4_K_M | offload | 61.8 GB | – | 13tok/sest. | 3104 tok/s | chat |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | offload | 39.9 GB | – | 36tok/sest. | 2442 tok/s | chat, coding, agents, long documents |
| GLM 4.5 Air Z.ai | Q2_K | offload | 54.8 GB | – | 4tok/sest. | 642 tok/s | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | offload | 47.8 GB | – | 27tok/sest. | 5966 tok/s | chat, coding, agents, long documents |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 34.1 GB | – | 74tok/sest. | 9700 tok/s | chat, coding, agents, long documents |
| Qwen3 32B Alibaba Qwen | Q4_K_M | offload | 35.5 GB | 40k | 10tok/sest. | 651 tok/s | chat, coding |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | offload | 35.6 GB | 47k88k with q8 cache | 10tok/sest. | 804 tok/s | chat, coding |
| Llama 3.3 70B Meta | Q4_K_M | offload | 60.7 GB | – | 2tok/sest. | 292 tok/s | – |
| granite 4.2 30b IBM | Q4_K_M | offload | 33.9 GB | 54k100k with q8 cache | 14tok/sest. | 967 tok/s | chat, coding, agents |
| GLM 4.5V Z.ai | Q4_K_M | offload | 71.8 GB | – | 3tok/sest. | 602 tok/s | – |
| GLM 4.6V Z.ai | Q4_K_M | offload | 78.2 GB | – | 3tok/sest. | 583 tok/s | – |
| DeepSeek R1 Distill Llama 70B DeepSeek | Q4_K_M | offload | 60.7 GB | – | 2tok/sest. | 292 tok/s | – |
| Mistral Medium 3.5 128B Mistral AI | Q4_K_M | offload | 92.8 GB | – | 1tok/sest. | 142 tok/s | – |
| 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 4.7 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 | – | – | – | – |