RX 7900 XTX 24GB
$3,560
Parts
Compatibility: No problems found.Est. load 495 W of 850 W · spikes to 708 W
| Component | Selection | Price | Where | Buy |
|---|---|---|---|---|
| GPU | AMD Radeon RX 7900 XTX 24 GB · 960 GB/s · 355 W | $1,533 | Amazon | Buy |
| CPU | AMD Ryzen 7 9700X AM5 · 8 cores · 24 PCIe lanes | $264 | eBay | Buy |
| Motherboard | Gigabyte B850 Aorus Elite WiFi7 AM5 · DDR5 · ATX | $160 | eBay | Buy |
| Memory | G.Skill Flare X5 64GB (2×32GB) DDR5-6000 64 GB · DDR5-6000 | $1,133 | eBay | Buy |
| Power supply | Corsair RM850x ATX 3.1 850W 850 W · ATX 3 | $90 | eBay | Buy |
| Case | Fractal Design North GPUs up to 355 mm | $80 | eBay | Buy |
| Storage | Samsung 990 Pro 2TB 2000 GB NVME | $300 | eBay | Buy |
| Total | $3,560 | |||
- 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 32k context. Estimates, not measurements.
| Model | Quant | Fits | Memory | Max context | Decode @32k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | Q5_K_M | fits | 22.6 GB | 40k70k with q8 cache | 23tok/sest. | 694 tok/s | chat, coding |
| Qwen 3.6 27B Alibaba Qwen | Q5_K_M | fits | 21.3 GB | 59k104k with q8 cache | 24tok/sest. | 694 tok/s | chat, coding |
| Gemma 4 31B | Q4_K_M | fits | 21.3 GB | 54k103k with q8 cache | 24tok/sest. | 619 tok/s | chat, coding |
| Qwen 3.6 35B-A3B Alibaba Qwen | Q4_K_M | fits | 22.4 GB | 62k97k with q8 cache | 122tok/sest. | 4957 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q5_K_M | fits | 21.4 GB | 58k102k with q8 cache | 24tok/sest. | 694 tok/s | chat, coding |
| Gemma 4 26B-A4B | Q6_K | fits | 23.1 GB | 35k61k with q8 cache | 72tok/sest. | 4410 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q4_K_M | fits | 22.2 GB | 72k113k with q8 cache | 123tok/sest. | 4957 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q5_K_M | fits | 22.6 GB | 42k73k with q8 cache | 60tok/sest. | 2588 tok/s | chat, coding, agents |
| Devstral Small 2 24B Mistral AI | Q5_K_M | fits | 21.6 GB | 41k76k with q8 cache | 24tok/sest. | 733 tok/s | chat, coding |
| gpt-oss 20B OpenAI | MXFP4 | fits | 13.0 GB | 128k | 98tok/sest. | 3701 tok/s | chat, coding, agents, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | fits | 21.3 GB | 51k91k with q8 cache | 63tok/sest. | 2280 tok/s | chat, coding, agents |
| Gemma 4 12B | Q8_0 | fits | 13.6 GB | 256k | 39tok/sest. | 1610 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 10.9 GB | 256k | 50tok/sest. | 2007 tok/s | chat, coding, long documents |
| Mistral Small 3.2 24B Mistral AI | Q5_K_M | fits | 21.6 GB | 41k76k with q8 cache | 24tok/sest. | 733 tok/s | chat, coding |
| Gemma 3 27B | Q5_K_M | fits | 21.8 GB | 48k89k with q8 cache | 24tok/sest. | 737 tok/s | chat, coding |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 19.4 GB | 55k101k with q8 cache | 27tok/sest. | 1115 tok/s | chat, coding |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 20.6 GB | 40k | 25tok/sest. | 1002 tok/s | chat, coding |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 13.6 GB | 97k128k with q8 cache | 39tok/sest. | 1653 tok/s | chat, coding |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 13.6 GB | 40k | 39tok/sest. | 1653 tok/s | chat, coding |
| Phi-4 14B Microsoft | Q8_0 | fits | 21.7 GB | 16k | 24tok/sest. | 1007 tok/s | chat, coding |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 6.2 GB | 256k | 94tok/sest. | 3754 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 13.6 GB | 100k183k with q8 cache | 39tok/sest. | 1597 tok/s | chat, coding |
| Granite 4.2 8B IBM | Q8_0 | fits | 14.7 GB | 84k128k with q8 cache | 36tok/sest. | 1520 tok/s | chat, coding, agents |
| Gemma 4 E4B | Q8_0 | fits | 9.5 GB | 128k | 58tok/sest. | 2521 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 10.9 GB | 125k | 118tok/sest. | 8245 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 11.1 GB | 124k128k with q8 cache | 49tok/sest. | 1746 tok/s | chat, coding, long documents |
| Qwen2.5 0.5B Alibaba Qwen | Q8_0 | fits | 1.9 GB | 32k | 566tok/sest. | 17957 tok/s | chat, coding, long documents |
| Qwen3.5 0.8B Alibaba Qwen | Q8_0 | fits | 2.1 GB | 256k | 428tok/sest. | 16868 tok/s | chat, coding, agents, long documents |
| Qwen3.5 2B Alibaba Qwen | Q5_K_M | fits | 2.7 GB | 256k | 284tok/sest. | 8042 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 1.5B DeepSeek | Q8_0 | fits | 3.6 GB | 128k | 186tok/sest. | 6755 tok/s | chat, coding, long documents |
| MiniCPM5 2B openbmb | Q8_0 | fits | 4.8 GB | 128k | 129tok/sest. | 4034 tok/s | chat, coding, agents, long documents |
| LFM2.5 2.6B Liquid AI | Q8_0 | fits | 5.5 GB | 128k | 108tok/sest. | 4570 tok/s | chat, coding, agents, long documents |
| LFM2.5 VL 3B Liquid AI | Q8_0 | fits | 5.5 GB | 32k | 108tok/sest. | 4190 tok/s | chat, coding, agents, long documents |
| Mellum2.1 12B A2.5B Thinking JetBrains | Q8_0 | fits | 13.5 GB | 128k | 100tok/sest. | 5953 tok/s | chat, coding, agents, long documents |
| granite vision 4.1 4b IBM | Q8_0 | fits | 6.9 GB | 128k | 84tok/sest. | 2928 tok/s | chat, coding, long documents |
| granite 4.2 3b IBM | Q8_0 | fits | 7.1 GB | 128k | 80tok/sest. | 3068 tok/s | chat, coding, agents, long documents |
| Kimi VL A3B Moonshot AI | mlx-8bit | fits | 18.5 GB | 128k | 74tok/sest. | 4473 tok/s | chat, coding, agents, long documents |
| LFM2.5 24B A2B Liquid AI | Q6_K | fits | 23.2 GB | 32k56k with q8 cache | 71tok/sest. | 4595 tok/s | chat, coding, agents |
| DeepSeek R1 Distill Qwen 7B DeepSeek | Q8_0 | fits | 10.3 GB | 128k | 53tok/sest. | 1974 tok/s | chat, coding, long documents |
| GLM 4.6V Flash Z.ai | Q8_0 | fits | 11.6 GB | 128k | 47tok/sest. | 1374 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Llama 8B DeepSeek | Q8_0 | fits | 12.9 GB | 110k128k with q8 cache | 41tok/sest. | 1746 tok/s | chat, coding |
| GLM 4.1V 9B Thinking Z.ai | mlx-8bit | fits | 13.2 GB | 64k | 40tok/sest. | 1374 tok/s | chat, coding, long documents |
| Ministral 3 8B Reasoning 2512 Mistral AI | Q8_0 | fits | 13.6 GB | 100k183k with q8 cache | 39tok/sest. | 1597 tok/s | chat, coding, agents |
| Devstral Small 2507 Mistral AI | Q5_K_M | fits | 21.6 GB | 41k76k with q8 cache | 24tok/sest. | 744 tok/s | chat, coding |
| Magistral Small 2506 Mistral AI | Q5_K_M | fits | 21.6 GB | 40k | 24tok/sest. | 744 tok/s | chat, coding |
| Magistral Small 2507 Mistral AI | Q5_K_M | fits | 21.6 GB | 40k | 24tok/sest. | 744 tok/s | chat, coding |
| Magistral Small 2509 Mistral AI | Q5_K_M | fits | 21.6 GB | 41k76k with q8 cache | 24tok/sest. | 733 tok/s | chat, coding |
| DeepSeek R1 Distill Qwen 14B DeepSeek | Q8_0 | fits | 21.6 GB | 40k73k with q8 cache | 24tok/sest. | 943 tok/s | chat, coding |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | offload | 75.3 GB | – | 2tok/sest. | 195 tok/s | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | offload | 78.9 GB | – | 4tok/sest. | 523 tok/s | – |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | offload | 40.8 GB | – | 16tok/sest. | 1196 tok/s | chat |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | offload | 47.0 GB | – | 19tok/sest. | 2706 tok/s | chat |
| gpt-oss 120B OpenAI | Q4_K_M | offload | 60.6 GB | – | 12tok/sest. | 1640 tok/s | chat |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | offload | 52.3 GB | – | 10tok/sest. | 1086 tok/s | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | offload | 39.1 GB | – | 23tok/sest. | 1356 tok/s | chat, coding |
| GLM 4.5 Air Z.ai | Q2_K | offload | 48.9 GB | – | 5tok/sest. | 410 tok/s | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | offload | 47.0 GB | – | 23tok/sest. | 3220 tok/s | chat, coding |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 33.8 GB | – | 24tok/sest. | 4559 tok/s | chat, coding, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 29.3 GB | – | 54tok/sest. | 3722 tok/s | chat, coding, long documents |
| Qwen3 32B Alibaba Qwen | Q4_K_M | offload | 27.4 GB | 15k28k with q8 cache | 8tok/sest. | 390 tok/s | chat |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | offload | 27.5 GB | 15k28k with q8 cache | 8tok/sest. | 447 tok/s | chat |
| Llama 3.3 70B Meta | Q4_K_M | offload | 50.6 GB | – | 2tok/sest. | 156 tok/s | – |
| granite 4.2 30b IBM | Q4_K_M | offload | 25.8 GB | 21k40k with q8 cache | 11tok/sest. | 533 tok/s | chat |
| GLM 4.5V Z.ai | Q4_K_M | offload | 66.0 GB | – | 3tok/sest. | 397 tok/s | – |
| GLM 4.6V Z.ai | Q4_K_M | offload | 72.3 GB | – | 3tok/sest. | 385 tok/s | – |
| DeepSeek R1 Distill Llama 70B DeepSeek | Q4_K_M | offload | 50.6 GB | – | 2tok/sest. | 156 tok/s | – |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 93.9 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 102.7 GB | – | – | – | – |
| DeepSeek R1 DeepSeek | Q4_K_M | won't run | 379.8 GB | – | – | – | – |
| DeepSeek R1 0528 DeepSeek | Q4_K_M | won't run | 380.3 GB | – | – | – | – |
| DeepSeek V3 0324 DeepSeek | Q4_K_M | won't run | 379.8 GB | – | – | – | – |
| DeepSeek V3.1 DeepSeek | Q4_K_M | won't run | 380.7 GB | – | – | – | – |
| DeepSeek V3.2 DeepSeek | Q4_K_M | won't run | 380.7 GB | – | – | – | – |
| DeepSeek V4 Flash 0731 DeepSeek | MXFP4 | won't run | 149.3 GB | – | – | – | – |
| DeepSeek V4 Flash Vision Exp DeepSeek | MXFP4 | won't run | 158.1 GB | – | – | – | – |
| Devstral 2 123B Instruct 2512 Mistral AI | Q8_0 | won't run | 135.7 GB | – | – | – | – |
| GLM 4.7 Z.ai | Q4_K_M | won't run | 214.1 GB | – | – | – | – |
| GLM 5.1 Z.ai | MXFP4 | won't run | 423.7 GB | – | – | – | – |
| GLM 5.2 Z.ai | UD-Q4_K_M | won't run | 437.6 GB | – | – | – | – |
| GLM 5.3 Z.ai | Q8_0 | won't run | 750.1 GB | – | – | – | – |
| Kimi K2 Moonshot AI | Q4_K_M | won't run | 581.3 GB | – | – | – | – |
| Kimi K2 Instruct 0905 Moonshot AI | Q4_K_M | won't run | 581.7 GB | – | – | – | – |
| Kimi K2 Thinking Moonshot AI | Q4_K_M | won't run | 581.7 GB | – | – | – | – |
| Kimi K2.5 Moonshot AI | Q4_K_M | won't run | 581.7 GB | – | – | – | – |
| MiniMax M2 MiniMax | Q4_K_M | won't run | 137.6 GB | – | – | – | – |
| MiniMax M2.1 MiniMax | Q4_K_M | won't run | 137.6 GB | – | – | – | – |
| MiniMax M2.5 MiniMax | MXFP4 | won't run | 124.0 GB | – | – | – | – |
| MiniMax M3 MiniMax | UD-Q4_K_M | won't run | 251.5 GB | – | – | – | – |
| Mistral Medium 3.5 128B Mistral AI | Q4_K_M | won't run | 81.7 GB | – | – | – | – |