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 64k context. Estimates, not measurements.
| Model | Quant | Fits | Memory | Max context | Decode @64k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | Q4_K_M | fits | 21.6 GB | 87k153k with q8 cache | 24tok/sest. | 629 tok/s | chat, coding |
| Qwen 3.6 27B Alibaba Qwen | Q4_K_M | fits | 21.0 GB | 96k168k with q8 cache | 25tok/sest. | 629 tok/s | chat, coding |
| Qwen 3.6 35B-A3B Alibaba Qwen | UD-Q4_K_M | fits | 23.1 GB | 68k106k with q8 cache | 97tok/sest. | 3787 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q4_K_M | fits | 20.9 GB | 97k170k with q8 cache | 25tok/sest. | 629 tok/s | chat, coding |
| Gemma 4 26B-A4B | UD-Q5_K_M | fits | 22.3 GB | 98k160k with q8 cache | 66tok/sest. | 3877 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q4_K_M | fits | 23.0 GB | 72k113k with q8 cache | 98tok/sest. | 3787 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q4_K_M | fits | 21.5 GB | 92k160k with q8 cache | 48tok/sest. | 1879 tok/s | chat, coding, agents, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 14.0 GB | 128k | 78tok/sest. | 2898 tok/s | chat, coding, agents, long documents |
| Gemma 4 12B | Q8_0 | fits | 14.3 GB | 256k | 38tok/sest. | 1490 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 12.1 GB | 256k | 45tok/sest. | 1824 tok/s | chat, coding, long documents |
| Gemma 3 27B | Q4_K_M | fits | 22.0 GB | 78k128k with q8 cache | 24tok/sest. | 705 tok/s | chat, coding |
| Ministral 3 14B Mistral AI | Q6_K | fits | 21.5 GB | 74k135k with q8 cache | 24tok/sest. | 872 tok/s | chat, coding |
| Qwen3 14B Alibaba Qwen | Q6_K | fits | 22.5 GB | 40k | 23tok/sest. | 764 tok/s | chat, coding |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 18.3 GB | 97k128k with q8 cache | 29tok/sest. | 1206 tok/s | chat, coding |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 18.3 GB | 40k | 29tok/sest. | 1206 tok/s | chat, coding |
| Phi-4 14B Microsoft | Q4_K_M | fits | 22.0 GB | 16k | 24tok/sest. | 767 tok/s | chat, coding |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 7.4 GB | 256k | 79tok/sest. | 3162 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 18.1 GB | 100k183k with q8 cache | 29tok/sest. | 1193 tok/s | chat, coding |
| Granite 4.2 8B IBM | Q8_0 | fits | 19.9 GB | 84k128k with q8 cache | 26tok/sest. | 1102 tok/s | chat, coding, agents |
| Gemma 4 E4B | Q8_0 | fits | 10.6 GB | 128k | 52tok/sest. | 2389 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 12.6 GB | 125k | 74tok/sest. | 5099 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 15.3 GB | 124k128k with q8 cache | 35tok/sest. | 1295 tok/s | chat, coding, long documents |
| Qwen2.5 0.5B Alibaba Qwen | Q8_0 | fits | 2.4 GB | 32k | 395tok/sest. | 11309 tok/s | chat, coding, long documents |
| Qwen3.5 0.8B Alibaba Qwen | Q8_0 | fits | 2.7 GB | 256k | 323tok/sest. | 12822 tok/s | chat, coding, agents, long documents |
| Qwen3.5 2B Alibaba Qwen | Q5_K_M | fits | 3.3 GB | 256k | 234tok/sest. | 6990 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 1.5B DeepSeek | Q8_0 | fits | 4.7 GB | 128k | 140tok/sest. | 4684 tok/s | chat, coding, long documents |
| MiniCPM5 2B openbmb | Q8_0 | fits | 6.3 GB | 128k | 96tok/sest. | 2640 tok/s | chat, coding, agents, long documents |
| Mellum2.1 12B A2.5B Thinking JetBrains | Q8_0 | fits | 14.1 GB | 128k | 87tok/sest. | 4725 tok/s | chat, coding, agents, long documents |
| LFM2.5 2.6B Liquid AI | Q8_0 | fits | 7.6 GB | 128k | 77tok/sest. | 3201 tok/s | chat, coding, agents, long documents |
| LFM2.5 VL 3B Liquid AI | Q8_0 | fits | 7.6 GB | 32k | 77tok/sest. | 3011 tok/s | chat, coding, agents, long documents |
| Kimi VL A3B Moonshot AI | mlx-8bit | fits | 19.7 GB | 128k | 60tok/sest. | 3250 tok/s | chat, coding, agents, long documents |
| granite vision 4.1 4b IBM | Q8_0 | fits | 9.5 GB | 128k | 59tok/sest. | 2010 tok/s | chat, coding, long documents |
| granite 4.2 3b IBM | Q8_0 | fits | 9.8 GB | 128k | 57tok/sest. | 2076 tok/s | chat, coding, agents, long documents |
| LFM2.5 24B A2B Liquid AI | Q4_K_M | fits | 20.5 GB | 96k128k with q8 cache | 48tok/sest. | 2921 tok/s | chat, coding, agents |
| DeepSeek R1 Distill Qwen 7B DeepSeek | Q8_0 | fits | 12.2 GB | 128k | 45tok/sest. | 1517 tok/s | chat, coding, long documents |
| GLM 4.6V Flash Z.ai | Q8_0 | fits | 13.0 GB | 128k | 42tok/sest. | 1024 tok/s | chat, coding, agents, long documents |
| GLM 4.1V 9B Thinking Z.ai | mlx-8bit | fits | 14.6 GB | 64k | 37tok/sest. | 1024 tok/s | chat, coding, long documents |
| DeepSeek R1 Distill Llama 8B DeepSeek | Q8_0 | fits | 17.1 GB | 110k128k with q8 cache | 31tok/sest. | 1295 tok/s | chat, coding |
| Ministral 3 8B Reasoning 2512 Mistral AI | Q8_0 | fits | 18.1 GB | 100k183k with q8 cache | 29tok/sest. | 1193 tok/s | chat, coding, agents |
| DeepSeek R1 Distill Qwen 14B DeepSeek | Q5_K_M | fits | 23.0 GB | 65k119k with q8 cache | 23tok/sest. | 697 tok/s | chat, coding |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | offload | 76.2 GB | – | 2tok/sest. | 187 tok/s | – |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | offload | 41.8 GB | – | 13tok/sest. | 950 tok/s | chat |
| Gemma 4 31B | Q4_K_M | offload | 24.0 GB | 54k103k with q8 cache | 17tok/sest. | 562 tok/s | chat, coding |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | offload | 47.9 GB | – | 15tok/sest. | 2071 tok/s | chat |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | offload | 52.7 GB | – | 9tok/sest. | 999 tok/s | – |
| gpt-oss 120B OpenAI | Q4_K_M | offload | 61.9 GB | – | 9tok/sest. | 1254 tok/s | chat |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | offload | 40.0 GB | – | 18tok/sest. | 953 tok/s | chat, coding |
| GLM 4.5 Air Z.ai | Q2_K | offload | 54.9 GB | – | 3tok/sest. | 257 tok/s | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | offload | 47.9 GB | – | 17tok/sest. | 2362 tok/s | chat, coding |
| Devstral Small 2 24B Mistral AI | Q4_K_M | offload | 24.5 GB | 55k101k with q8 cache | 14tok/sest. | 598 tok/s | chat, coding |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 34.2 GB | – | 23tok/sest. | 3736 tok/s | chat, coding, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 29.7 GB | – | 46tok/sest. | 2626 tok/s | chat, coding, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | offload | 24.5 GB | 51k91k with q8 cache | 27tok/sest. | 1311 tok/s | chat, coding, agents |
| Qwen3 32B Alibaba Qwen | Q4_K_M | offload | 35.6 GB | 15k28k with q8 cache | 4tok/sest. | 252 tok/s | chat |
| Mistral Small 3.2 24B Mistral AI | Q4_K_M | offload | 24.5 GB | 55k101k with q8 cache | 14tok/sest. | 598 tok/s | chat, coding |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | offload | 35.7 GB | 15k28k with q8 cache | 4tok/sest. | 311 tok/s | chat |
| Llama 3.3 70B Meta | Q4_K_M | offload | 60.8 GB | – | 1tok/sest. | 118 tok/s | – |
| Devstral Small 2507 Mistral AI | Q4_K_M | offload | 24.5 GB | 55k101k with q8 cache | 14tok/sest. | 606 tok/s | chat, coding |
| Magistral Small 2506 Mistral AI | Q4_K_M | offload | 24.5 GB | 40k | 14tok/sest. | 606 tok/s | chat, coding |
| Magistral Small 2507 Mistral AI | Q4_K_M | offload | 24.5 GB | 40k | 14tok/sest. | 606 tok/s | chat, coding |
| Magistral Small 2509 Mistral AI | Q4_K_M | offload | 24.5 GB | 55k101k with q8 cache | 14tok/sest. | 598 tok/s | chat, coding |
| granite 4.2 30b IBM | Q4_K_M | offload | 34.0 GB | 21k40k with q8 cache | 4tok/sest. | 372 tok/s | chat |
| GLM 4.5V Z.ai | Q4_K_M | offload | 71.9 GB | – | 2tok/sest. | 246 tok/s | – |
| GLM 4.6V Z.ai | Q4_K_M | offload | 78.3 GB | – | 2tok/sest. | 240 tok/s | – |
| DeepSeek R1 Distill Llama 70B DeepSeek | Q4_K_M | offload | 60.8 GB | – | 1tok/sest. | 118 tok/s | – |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 96.7 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 103.2 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 86.8 GB | – | – | – | – |
| DeepSeek R1 DeepSeek | Q4_K_M | won't run | 382.1 GB | – | – | – | – |
| DeepSeek R1 0528 DeepSeek | Q4_K_M | won't run | 382.6 GB | – | – | – | – |
| DeepSeek V3 0324 DeepSeek | Q4_K_M | won't run | 382.1 GB | – | – | – | – |
| DeepSeek V3.1 DeepSeek | Q4_K_M | won't run | 383.0 GB | – | – | – | – |
| DeepSeek V3.2 DeepSeek | Q4_K_M | won't run | 383.0 GB | – | – | – | – |
| DeepSeek V4 Flash 0731 DeepSeek | MXFP4 | won't run | 152.2 GB | – | – | – | – |
| DeepSeek V4 Flash Vision Exp DeepSeek | MXFP4 | won't run | 161.0 GB | – | – | – | – |
| Devstral 2 123B Instruct 2512 Mistral AI | Q8_0 | won't run | 146.9 GB | – | – | – | – |
| GLM 4.7 Z.ai | Q4_K_M | won't run | 225.8 GB | – | – | – | – |
| GLM 5.1 Z.ai | MXFP4 | won't run | 426.6 GB | – | – | – | – |
| GLM 5.2 Z.ai | UD-Q4_K_M | won't run | 440.5 GB | – | – | – | – |
| GLM 5.3 Z.ai | Q8_0 | won't run | 753.0 GB | – | – | – | – |
| Kimi K2 Moonshot AI | Q4_K_M | won't run | 583.6 GB | – | – | – | – |
| Kimi K2 Instruct 0905 Moonshot AI | Q4_K_M | won't run | 584.0 GB | – | – | – | – |
| Kimi K2 Thinking Moonshot AI | Q4_K_M | won't run | 584.0 GB | – | – | – | – |
| Kimi K2.5 Moonshot AI | Q4_K_M | won't run | 584.0 GB | – | – | – | – |
| MiniMax M2 MiniMax | Q4_K_M | won't run | 145.5 GB | – | – | – | – |
| MiniMax M2.1 MiniMax | Q4_K_M | won't run | 145.5 GB | – | – | – | – |
| MiniMax M2.5 MiniMax | MXFP4 | won't run | 131.9 GB | – | – | – | – |
| MiniMax M3 MiniMax | UD-Q4_K_M | won't run | 255.4 GB | – | – | – | – |
| Mistral Medium 3.5 128B Mistral AI | Q4_K_M | won't run | 92.9 GB | – | – | – | – |