Used RTX 3090 workhorse
$3,482
Parts
Compatibility: No problems found.Est. load 490 W of 850 W · spikes to 700 W
| Component | Selection | Price | Where | Buy |
|---|---|---|---|---|
| GPU | NVIDIA GeForce RTX 3090 24 GB · 936 GB/s · 350 W | $1,600 | eBay | Buy |
| CPU | AMD Ryzen 7 7700 AM5 · 8 cores · 24 PCIe lanes | $139 | eBay (used) | Buy |
| Motherboard | MSI MAG B650 Tomahawk WiFi AM5 · DDR5 · ATX | $140 | 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 | $3,482 | |||
- 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 | 21.5 GB | 92k161k with q8 cache | 27tok/sest. | 467 tok/s | chat, coding |
| Qwen 3.6 27B Alibaba Qwen | Q5_K_M | fits | 23.4 GB | 64k112k with q8 cache | 24tok/sest. | 467 tok/s | chat, coding |
| Qwen 3.6 35B-A3B Alibaba Qwen | Q4_K_M | fits | 23.1 GB | 74k116k with q8 cache | 107tok/sest. | 2810 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q4_K_M | fits | 20.8 GB | 101k178k with q8 cache | 27tok/sest. | 467 tok/s | chat, coding, agents |
| Gemma 4 26B-A4B | UD-Q5_K_M | fits | 22.2 GB | 110k178k with q8 cache | 72tok/sest. | 2877 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q4_K_M | fits | 22.9 GB | 84k131k with q8 cache | 107tok/sest. | 2810 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q4_K_M | fits | 21.4 GB | 98k169k with q8 cache | 53tok/sest. | 1394 tok/s | chat, coding, agents, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 13.9 GB | 128k | 86tok/sest. | 2151 tok/s | chat, coding, agents, long documents |
| Gemma 4 12B | Q8_0 | fits | 14.2 GB | 256k | 41tok/sest. | 1106 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 12.0 GB | 256k | 50tok/sest. | 1354 tok/s | chat, coding, long documents |
| Gemma 3 27B | Q4_K_M | fits | 21.9 GB | 81k128k with q8 cache | 26tok/sest. | 523 tok/s | chat, coding |
| Ministral 3 14B Mistral AI | Q6_K | fits | 21.4 GB | 76k139k with q8 cache | 27tok/sest. | 647 tok/s | chat, coding |
| Qwen3 14B Alibaba Qwen | Q6_K | fits | 22.4 GB | 40k | 25tok/sest. | 567 tok/s | chat, coding |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 18.2 GB | 99k128k with q8 cache | 32tok/sest. | 895 tok/s | chat, coding |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 18.2 GB | 40k | 32tok/sest. | 895 tok/s | chat, coding |
| Phi-4 14B Microsoft | Q5_K_M | fits | 23.3 GB | 16k | 24tok/sest. | 569 tok/s | chat, coding |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 7.3 GB | 256k | 87tok/sest. | 2347 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 18.0 GB | 103k187k with q8 cache | 32tok/sest. | 885 tok/s | chat, coding |
| Granite 4.2 8B IBM | Q8_0 | fits | 19.8 GB | 86k128k with q8 cache | 29tok/sest. | 818 tok/s | chat, coding, agents |
| Gemma 4 E4B | Q8_0 | fits | 10.5 GB | 128k | 57tok/sest. | 1773 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 12.5 GB | 125k | 81tok/sest. | 3784 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 15.2 GB | 126k128k with q8 cache | 38tok/sest. | 961 tok/s | chat, coding, long documents |
| Qwen2.5 0.5B Alibaba Qwen | Q8_0 | fits | 2.3 GB | 32k | 434tok/sest. | 8393 tok/s | chat, coding, long documents |
| Qwen3.5 0.8B Alibaba Qwen | Q8_0 | fits | 2.6 GB | 256k | 355tok/sest. | 9516 tok/s | chat, coding, agents, long documents |
| Qwen3.5 2B Alibaba Qwen | Q5_K_M | fits | 3.2 GB | 256k | 257tok/sest. | 5188 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 1.5B DeepSeek | Q8_0 | fits | 4.6 GB | 128k | 154tok/sest. | 3476 tok/s | chat, coding, long documents |
| MiniCPM5 2B openbmb | Q8_0 | fits | 6.2 GB | 128k | 106tok/sest. | 1959 tok/s | chat, coding, agents, long documents |
| Mellum2.1 12B A2.5B Thinking JetBrains | Q8_0 | fits | 14.0 GB | 128k | 96tok/sest. | 3507 tok/s | chat, coding, agents, long documents |
| LFM2.5 2.6B Liquid AI | Q8_0 | fits | 7.5 GB | 128k | 84tok/sest. | 2376 tok/s | chat, coding, agents, long documents |
| LFM2.5 VL 3B Liquid AI | Q8_0 | fits | 7.5 GB | 32k | 84tok/sest. | 2234 tok/s | chat, coding, agents, long documents |
| Kimi VL A3B Moonshot AI | mlx-8bit | fits | 19.6 GB | 128k | 66tok/sest. | 2412 tok/s | chat, coding, agents, long documents |
| granite vision 4.1 4b IBM | Q8_0 | fits | 9.4 GB | 128k | 65tok/sest. | 1492 tok/s | chat, coding, long documents |
| granite 4.2 3b IBM | Q8_0 | fits | 9.7 GB | 128k | 63tok/sest. | 1540 tok/s | chat, coding, agents, long documents |
| LFM2.5 24B A2B Liquid AI | Q5_K_M | fits | 23.3 GB | 65k115k with q8 cache | 50tok/sest. | 2168 tok/s | chat, coding, agents |
| DeepSeek R1 Distill Qwen 7B DeepSeek | Q8_0 | fits | 12.1 GB | 128k | 49tok/sest. | 1126 tok/s | chat, coding, long documents |
| GLM 4.6V Flash Z.ai | Q8_0 | fits | 12.9 GB | 128k | 46tok/sest. | 760 tok/s | chat, coding, agents, long documents |
| GLM 4.1V 9B Thinking Z.ai | mlx-8bit | fits | 14.5 GB | 64k | 40tok/sest. | 760 tok/s | chat, coding, long documents |
| DeepSeek R1 Distill Llama 8B DeepSeek | Q8_0 | fits | 17.0 GB | 112k128k with q8 cache | 34tok/sest. | 961 tok/s | chat, coding |
| Ministral 3 8B Reasoning 2512 Mistral AI | Q8_0 | fits | 18.0 GB | 103k187k with q8 cache | 32tok/sest. | 885 tok/s | chat, coding, agents |
| DeepSeek R1 Distill Qwen 14B DeepSeek | Q5_K_M | fits | 22.9 GB | 66k122k with q8 cache | 25tok/sest. | 517 tok/s | chat, coding |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | offload | 76.1 GB | – | 2tok/sest. | 139 tok/s | – |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | offload | 41.7 GB | – | 13tok/sest. | 709 tok/s | chat |
| Gemma 4 31B | Q4_K_M | offload | 23.9 GB | 57k110k with q8 cache | 20tok/sest. | 420 tok/s | chat, coding |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | offload | 47.8 GB | – | 15tok/sest. | 1545 tok/s | chat |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | offload | 52.6 GB | – | 9tok/sest. | 745 tok/s | – |
| gpt-oss 120B OpenAI | Q4_K_M | offload | 61.8 GB | – | 9tok/sest. | 935 tok/s | chat |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | offload | 39.9 GB | – | 18tok/sest. | 711 tok/s | chat, coding |
| GLM 4.5 Air Z.ai | Q2_K | offload | 54.8 GB | – | 3tok/sest. | 192 tok/s | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | offload | 47.8 GB | – | 18tok/sest. | 1763 tok/s | chat, coding |
| Devstral Small 2 24B Mistral AI | Q4_K_M | offload | 24.4 GB | 57k105k with q8 cache | 17tok/sest. | 448 tok/s | chat, coding |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 34.1 GB | – | 23tok/sest. | 2792 tok/s | chat, coding, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 29.6 GB | – | 49tok/sest. | 1963 tok/s | chat, coding, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | offload | 24.4 GB | 54k97k with q8 cache | 31tok/sest. | 981 tok/s | chat, coding, agents |
| Qwen3 32B Alibaba Qwen | Q4_K_M | offload | 35.5 GB | 16k30k with q8 cache | 4tok/sest. | 188 tok/s | chat |
| Mistral Small 3.2 24B Mistral AI | Q4_K_M | offload | 24.4 GB | 57k105k with q8 cache | 17tok/sest. | 448 tok/s | chat, coding |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | offload | 35.6 GB | 16k30k with q8 cache | 4tok/sest. | 232 tok/s | chat |
| Llama 3.3 70B Meta | Q4_K_M | offload | 60.7 GB | – | 1tok/sest. | 88 tok/s | – |
| Devstral Small 2507 Mistral AI | Q4_K_M | offload | 24.4 GB | 57k105k with q8 cache | 17tok/sest. | 453 tok/s | chat, coding |
| Magistral Small 2506 Mistral AI | Q4_K_M | offload | 24.4 GB | 40k | 17tok/sest. | 453 tok/s | chat, coding |
| Magistral Small 2507 Mistral AI | Q4_K_M | offload | 24.4 GB | 40k | 17tok/sest. | 453 tok/s | chat, coding |
| Magistral Small 2509 Mistral AI | Q4_K_M | offload | 24.4 GB | 57k105k with q8 cache | 17tok/sest. | 448 tok/s | chat, coding |
| granite 4.2 30b IBM | Q4_K_M | offload | 33.9 GB | 23k42k with q8 cache | 4tok/sest. | 278 tok/s | chat |
| GLM 4.5V Z.ai | Q4_K_M | offload | 71.8 GB | – | 2tok/sest. | 183 tok/s | – |
| GLM 4.6V Z.ai | Q4_K_M | offload | 78.2 GB | – | 2tok/sest. | 179 tok/s | – |
| DeepSeek R1 Distill Llama 70B DeepSeek | Q4_K_M | offload | 60.7 GB | – | 1tok/sest. | 88 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 | – | – | – | – |
| 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 4.7 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 | – | – | – | – |