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 8k context. Estimates, not measurements.
| Model | Quant | Fits | Memory | Max context | Decode @8k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | UD-Q6_K | fits | 22.0 GB | 26k45k with q8 cache | 23tok/sest. | 753 tok/s | chat |
| Qwen 3.6 27B Alibaba Qwen | Q6_K | fits | 22.5 GB | 18k32k with q8 cache | 23tok/sest. | 753 tok/s | chat |
| Gemma 4 31B | Q5_K_M | fits | 22.4 GB | 17k38k with q8 cache | 23tok/sest. | 657 tok/s | chat |
| Qwen 3.6 35B-A3B Alibaba Qwen | Q4_K_M | fits | 21.8 GB | 62k97k with q8 cache | 152tok/sest. | 6453 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q6_K | fits | 22.4 GB | 19k34k with q8 cache | 23tok/sest. | 753 tok/s | chat |
| Gemma 4 26B-A4B | UD-Q6_K | fits | 22.8 GB | 24k44k with q8 cache | 80tok/sest. | 4917 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q4_K_M | fits | 21.6 GB | 72k113k with q8 cache | 153tok/sest. | 6453 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q5_K_M | fits | 21.2 GB | 42k73k with q8 cache | 79tok/sest. | 3611 tok/s | chat, coding, agents |
| Devstral Small 2 24B Mistral AI | Q6_K | fits | 20.1 GB | 27k49k with q8 cache | 26tok/sest. | 849 tok/s | chat |
| gpt-oss 20B OpenAI | MXFP4 | fits | 12.3 GB | 128k | 120tok/sest. | 4671 tok/s | chat, coding, agents, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q5_K_M | fits | 21.8 GB | 21k38k with q8 cache | 108tok/sest. | 4669 tok/s | chat, coding, agents |
| Qwen3 32B Alibaba Qwen | Q4_K_M | fits | 21.3 GB | 15k28k with q8 cache | 24tok/sest. | 581 tok/s | chat |
| Gemma 4 12B | Q8_0 | fits | 13.1 GB | 256k | 40tok/sest. | 1713 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 10.0 GB | 256k | 54tok/sest. | 2170 tok/s | chat, coding, long documents |
| Mistral Small 3.2 24B Mistral AI | Q6_K | fits | 20.1 GB | 27k49k with q8 cache | 26tok/sest. | 849 tok/s | chat |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | fits | 21.3 GB | 15k28k with q8 cache | 24tok/sest. | 607 tok/s | chat |
| Gemma 3 27B | Q6_K | fits | 22.5 GB | 16k32k with q8 cache | 23tok/sest. | 763 tok/s | chat |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 15.5 GB | 55k101k with q8 cache | 34tok/sest. | 1408 tok/s | chat, coding |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 16.7 GB | 40k | 31tok/sest. | 1309 tok/s | chat, coding |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 10.1 GB | 97k128k with q8 cache | 53tok/sest. | 2290 tok/s | chat, coding |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 10.1 GB | 40k | 53tok/sest. | 2290 tok/s | chat, coding |
| Phi-4 14B Microsoft | Q8_0 | fits | 16.9 GB | 16k | 31tok/sest. | 1318 tok/s | chat, coding |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 5.3 GB | 256k | 110tok/sest. | 4368 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 10.3 GB | 100k183k with q8 cache | 52tok/sest. | 2140 tok/s | chat, coding |
| Granite 4.2 8B IBM | Q8_0 | fits | 10.8 GB | 84k128k with q8 cache | 49tok/sest. | 2124 tok/s | chat, coding, agents |
| Gemma 4 E4B | Q8_0 | fits | 8.7 GB | 128k | 62tok/sest. | 2629 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 9.6 GB | 125k | 216tok/sest. | 15346 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 8.0 GB | 124k128k with q8 cache | 69tok/sest. | 2364 tok/s | chat, coding, long documents |
| Qwen2.5 0.5B Alibaba Qwen | Q8_0 | fits | 1.4 GB | 32k | 836tok/sest. | 32118 tok/s | chat, coding, long documents |
| Qwen3.5 0.8B Alibaba Qwen | Q8_0 | fits | 1.7 GB | 256k | 567tok/sest. | 22097 tok/s | chat, coding, agents, long documents |
| Qwen3.5 2B Alibaba Qwen | Q5_K_M | fits | 2.3 GB | 256k | 340tok/sest. | 9064 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 1.5B DeepSeek | Q8_0 | fits | 2.8 GB | 128k | 248tok/sest. | 10108 tok/s | chat, coding, long documents |
| MiniCPM5 2B openbmb | Q8_0 | fits | 3.7 GB | 128k | 174tok/sest. | 6682 tok/s | chat, coding, agents, long documents |
| LFM2.5 2.6B Liquid AI | Q8_0 | fits | 4.0 GB | 128k | 156tok/sest. | 6726 tok/s | chat, coding, agents, long documents |
| LFM2.5 VL 3B Liquid AI | Q8_0 | fits | 4.0 GB | 32k | 156tok/sest. | 5935 tok/s | chat, coding, agents, long documents |
| LFM2.5 24B A2B Liquid AI | Q6_K | fits | 21.2 GB | 32k56k with q8 cache | 130tok/sest. | 8059 tok/s | chat, coding, agents |
| granite vision 4.1 4b IBM | Q8_0 | fits | 4.8 GB | 128k | 123tok/sest. | 4451 tok/s | chat, coding, long documents |
| granite 4.2 3b IBM | Q8_0 | fits | 5.1 GB | 128k | 116tok/sest. | 4785 tok/s | chat, coding, agents, long documents |
| Mellum2.1 12B A2.5B Thinking JetBrains | Q8_0 | fits | 13.0 GB | 128k | 112tok/sest. | 7394 tok/s | chat, coding, agents, long documents |
| Kimi VL A3B Moonshot AI | mlx-8bit | fits | 17.7 GB | 128k | 90tok/sest. | 6234 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 7B DeepSeek | Q8_0 | fits | 8.8 GB | 128k | 62tok/sest. | 2551 tok/s | chat, coding, long documents |
| DeepSeek R1 Distill Llama 8B DeepSeek | Q8_0 | fits | 9.8 GB | 110k128k with q8 cache | 55tok/sest. | 2364 tok/s | chat, coding |
| Ministral 3 8B Reasoning 2512 Mistral AI | Q8_0 | fits | 10.3 GB | 100k183k with q8 cache | 52tok/sest. | 2140 tok/s | chat, coding, agents |
| GLM 4.6V Flash Z.ai | Q8_0 | fits | 10.5 GB | 128k | 51tok/sest. | 1850 tok/s | chat, coding, agents, long documents |
| GLM 4.1V 9B Thinking Z.ai | mlx-8bit | fits | 12.1 GB | 64k | 44tok/sest. | 1850 tok/s | chat, coding, long documents |
| DeepSeek R1 Distill Qwen 14B DeepSeek | Q8_0 | fits | 17.0 GB | 40k73k with q8 cache | 31tok/sest. | 1283 tok/s | chat, coding |
| Devstral Small 2507 Mistral AI | Q5_K_M | fits | 17.7 GB | 41k76k with q8 cache | 29tok/sest. | 864 tok/s | chat, coding |
| Magistral Small 2507 Mistral AI | Q5_K_M | fits | 17.7 GB | 40k | 29tok/sest. | 864 tok/s | chat, coding |
| Magistral Small 2509 Mistral AI | Q5_K_M | fits | 17.7 GB | 41k76k with q8 cache | 29tok/sest. | 849 tok/s | chat, coding |
| Magistral Small 2506 Mistral AI | Q6_K | fits | 20.1 GB | 27k40k with q8 cache | 26tok/sest. | 864 tok/s | chat |
| granite 4.2 30b IBM | Q5_K_M | fits | 22.4 GB | 11k20k with q8 cache | 23tok/sest. | 685 tok/s | chat |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | offload | 74.6 GB | – | 2tok/sest. | 202 tok/s | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | offload | 72.9 GB | – | 8tok/sest. | 892 tok/s | – |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | offload | 40.1 GB | – | 19tok/sest. | 1477 tok/s | chat |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | offload | 46.3 GB | – | 23tok/sest. | 3498 tok/s | chat |
| gpt-oss 120B OpenAI | Q4_K_M | offload | 59.6 GB | – | 15tok/sest. | 2122 tok/s | chat |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | offload | 52.0 GB | – | 10tok/sest. | 1162 tok/s | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | offload | 38.5 GB | – | 29tok/sest. | 1969 tok/s | chat, coding |
| GLM 4.5 Air Z.ai | Q2_K | offload | 44.5 GB | – | 7tok/sest. | 703 tok/s | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | offload | 46.3 GB | – | 30tok/sest. | 4398 tok/s | chat, coding |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 33.5 GB | – | 26tok/sest. | 5448 tok/s | chat, coding, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 28.9 GB | – | 61tok/sest. | 5381 tok/s | chat, coding, long documents |
| Llama 3.3 70B Meta | Q4_K_M | offload | 42.9 GB | – | 2tok/sest. | 204 tok/s | – |
| GLM 4.5V Z.ai | Q4_K_M | offload | 61.5 GB | – | 5tok/sest. | 707 tok/s | – |
| GLM 4.6V Z.ai | Q4_K_M | offload | 67.9 GB | – | 5tok/sest. | 683 tok/s | – |
| DeepSeek R1 Distill Llama 70B DeepSeek | Q4_K_M | offload | 42.9 GB | – | 2tok/sest. | 204 tok/s | – |
| Mistral Medium 3.5 128B Mistral AI | Q4_K_M | offload | 73.4 GB | – | 1tok/sest. | 92 tok/s | – |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 91.7 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 102.3 GB | – | – | – | – |
| DeepSeek R1 DeepSeek | Q4_K_M | won't run | 378.0 GB | – | – | – | – |
| DeepSeek R1 0528 DeepSeek | Q4_K_M | won't run | 378.5 GB | – | – | – | – |
| DeepSeek V3 0324 DeepSeek | Q4_K_M | won't run | 378.0 GB | – | – | – | – |
| DeepSeek V3.1 DeepSeek | Q4_K_M | won't run | 378.9 GB | – | – | – | – |
| DeepSeek V3.2 DeepSeek | Q4_K_M | won't run | 378.9 GB | – | – | – | – |
| DeepSeek V4 Flash 0731 DeepSeek | MXFP4 | won't run | 147.2 GB | – | – | – | – |
| DeepSeek V4 Flash Vision Exp DeepSeek | MXFP4 | won't run | 155.9 GB | – | – | – | – |
| Devstral 2 123B Instruct 2512 Mistral AI | Q8_0 | won't run | 127.3 GB | – | – | – | – |
| GLM 4.7 Z.ai | Q4_K_M | won't run | 205.3 GB | – | – | – | – |
| GLM 5.1 Z.ai | MXFP4 | won't run | 421.5 GB | – | – | – | – |
| GLM 5.2 Z.ai | UD-Q4_K_M | won't run | 435.4 GB | – | – | – | – |
| GLM 5.3 Z.ai | Q8_0 | won't run | 747.9 GB | – | – | – | – |
| Kimi K2 Moonshot AI | Q4_K_M | won't run | 579.5 GB | – | – | – | – |
| Kimi K2 Instruct 0905 Moonshot AI | Q4_K_M | won't run | 580.0 GB | – | – | – | – |
| Kimi K2 Thinking Moonshot AI | Q4_K_M | won't run | 580.0 GB | – | – | – | – |
| Kimi K2.5 Moonshot AI | Q4_K_M | won't run | 580.0 GB | – | – | – | – |
| MiniMax M2 MiniMax | Q4_K_M | won't run | 131.6 GB | – | – | – | – |
| MiniMax M2.1 MiniMax | Q4_K_M | won't run | 131.6 GB | – | – | – | – |
| MiniMax M2.5 MiniMax | MXFP4 | won't run | 118.1 GB | – | – | – | – |
| MiniMax M3 MiniMax | UD-Q4_K_M | won't run | 248.5 GB | – | – | – | – |