NVIDIA GeForce RTX 5090
32 GB · 1,792 GB/s · 575 W
Prices
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What two of them run
Every model in the catalogue, with the best quant for this hardware. Estimates, not measurements.
| Model | Quant | Fits | Memory | Max context | Decode @128k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | Q8_0 | fits | 37.0 GB | 256k | 29tok/sest. | 1156 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 122B-A10B Alibaba Qwen | Q3_K_M | fits | 57.5 GB | 256k | 85tok/sest. | 2055 tok/s | chat, coding, agents, long documents |
| Qwen 3.6 27B Alibaba Qwen | Q8_0 | fits | 36.6 GB | 256k | 30tok/sest. | 1156 tok/s | chat, coding, agents, long documents |
| Qwen3 Coder Next Alibaba Qwen | Q5_K_M | fits | 57.9 GB | 256k | 110tok/sest. | 4558 tok/s | chat, coding, agents, long documents |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q3_K_M | fits | 60.5 GB | 256k | 92tok/sest. | 2886 tok/s | chat, coding, agents, long documents |
| Gemma 4 31B | Q8_0 | fits | 43.0 GB | 256k | 25tok/sest. | 1097 tok/s | chat, coding, agents, long documents |
| Mistral Small 4 119B Mistral AI | UD-Q3_K_M | fits | 55.3 GB | 397k630k with q8 cache | 107tok/sest. | 1782 tok/s | chat, coding, agents, long documents |
| Qwen 3.6 35B-A3B Alibaba Qwen | Q8_0 | fits | 38.8 GB | 256k | 114tok/sest. | 5619 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q8_0 | fits | 36.6 GB | 256k | 30tok/sest. | 1156 tok/s | chat, coding, agents, long documents |
| Gemma 4 26B-A4B | Q8_0 | fits | 29.6 GB | 256k | 95tok/sest. | 6821 tok/s | chat, coding, agents, long documents |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q5_K_M | fits | 57.8 GB | 256k | 124tok/sest. | 4980 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q8_0 | fits | 38.8 GB | 256k | 114tok/sest. | 5619 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q8_0 | fits | 38.1 GB | 198k | 54tok/sest. | 2651 tok/s | chat, coding, agents, long documents |
| Devstral Small 2 24B Mistral AI | Q8_0 | fits | 45.2 GB | 236k384k with q8 cache | 24tok/sest. | 1034 tok/s | chat, coding, agents, long documents |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | fits | 35.2 GB | 256k | 160tok/sest. | 7559 tok/s | chat, coding, agents, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q8_0 | fits | 51.5 GB | 959k1024k with q8 cache | 155tok/sest. | 4216 tok/s | chat, coding, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 16.1 GB | 128k | 118tok/sest. | 4416 tok/s | chat, coding, agents, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q8_0 | fits | 44.1 GB | 256k | 42tok/sest. | 1635 tok/s | chat, coding, agents, long documents |
| Qwen3 32B Alibaba Qwen | Q6_K | fits | 58.9 GB | 40k | 18tok/sest. | 463 tok/s | chat, coding, long documents |
| Gemma 4 12B | Q8_0 | fits | 16.0 GB | 256k | 73tok/sest. | 2835 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 14.8 GB | 256k | 80tok/sest. | 3371 tok/s | chat, coding, long documents |
| Gemma 3 27B | Q8_0 | fits | 39.0 GB | 128k | 28tok/sest. | 1415 tok/s | chat, coding, long documents |
| Mistral Small 3.2 24B Mistral AI | Q8_0 | fits | 45.2 GB | 128k | 24tok/sest. | 1034 tok/s | chat, coding, long documents |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q6_K | fits | 58.9 GB | 128k | 18tok/sest. | 621 tok/s | chat, coding, long documents |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 35.2 GB | 256k | 31tok/sest. | 1328 tok/s | chat, coding, long documents |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 36.5 GB | 40k | 30tok/sest. | 1130 tok/s | chat, coding, long documents |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 28.0 GB | 128k | 40tok/sest. | 1709 tok/s | chat, coding, long documents |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 28.0 GB | 40k | 40tok/sest. | 1709 tok/s | chat, coding, long documents |
| Phi-4 14B Microsoft | Q8_0 | fits | 41.4 GB | 16k | 26tok/sest. | 1133 tok/s | chat, coding, long documents |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 10.1 GB | 256k | 126tok/sest. | 5251 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 27.3 GB | 256k | 41tok/sest. | 1731 tok/s | chat, coding, long documents |
| Granite 4.2 8B IBM | Q8_0 | fits | 30.6 GB | 128k | 36tok/sest. | 1554 tok/s | chat, coding, agents, long documents |
| Gemma 4 E4B | Q8_0 | fits | 13.0 GB | 128k | 93tok/sest. | 4727 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 16.2 GB | 125k | 89tok/sest. | 6319 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 24.0 GB | 128k | 47tok/sest. | 1865 tok/s | chat, coding, long documents |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | offload | 78.4 GB | – | 4tok/sest. | 580 tok/s | – |
| gpt-oss 120B OpenAI | MXFP4 | offload | 65.4 GB | 64k108k with q8 cache | 47tok/sest. | 2973 tok/s | chat, coding, agents, long documents |
| GLM 4.5 Air Z.ai | Q2_K | offload | 67.1 GB | 105k128k with q8 cache | 9tok/sest. | 496 tok/s | chat, coding, agents |
| Llama 3.3 70B Meta | Q4_K_M | offload | 81.5 GB | 69k128k with q8 cache | 2tok/sest. | 258 tok/s | chat, coding |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 102.8 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 104.6 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 103.0 GB | – | – | – | – |
Specifications
From the manufacturer's published specifications; sources are linked where we have them.
- GPU
- GeForce RTX 5090
- Memory
- 32 GB GDDR7
- Memory bus
- 512-bit
- Memory bandwidth
- 1,792 GB/s
- FP16 compute
- 209 TFLOPS
- Software
- CUDA
- Board power
- 575 W
- PCIe generation
- Gen 5
- PCIe lanes
- x16