NVIDIA GeForce RTX 5090
32 GB · 1,792 GB/s · 575 W
Prices
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What it runs
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 | UD-Q6_K | fits | 30.1 GB | 147k256k with q8 cache | 36tok/sest. | 1156 tok/s | chat, coding, agents, long documents |
| Qwen 3.6 27B Alibaba Qwen | Q6_K | fits | 30.6 GB | 140k245k with q8 cache | 36tok/sest. | 1156 tok/s | chat, coding, agents, long documents |
| Gemma 4 31B | Q4_K_M | fits | 29.3 GB | 153k256k with q8 cache | 37tok/sest. | 1097 tok/s | chat, coding, agents, long documents |
| Qwen 3.6 35B-A3B Alibaba Qwen | UD-Q6_K | fits | 31.3 GB | 131k206k with q8 cache | 128tok/sest. | 5619 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q6_K | fits | 30.5 GB | 141k246k with q8 cache | 36tok/sest. | 1156 tok/s | chat, coding, agents, long documents |
| Gemma 4 26B-A4B | Q8_0 | fits | 29.2 GB | 216k256k with q8 cache | 95tok/sest. | 6821 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q6_K | fits | 30.9 GB | 148k232k with q8 cache | 129tok/sest. | 5619 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q6_K | fits | 31.1 GB | 133k198k with q8 cache | 60tok/sest. | 2651 tok/s | chat, coding, agents, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | fits | 30.5 GB | 196k267k with q8 cache | 227tok/sest. | 4216 tok/s | chat, coding, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 15.7 GB | 128k | 118tok/sest. | 4416 tok/s | chat, coding, agents, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | fits | 30.7 GB | 134k241k with q8 cache | 45tok/sest. | 1635 tok/s | chat, coding, agents, long documents |
| Gemma 4 12B | Q8_0 | fits | 15.6 GB | 256k | 73tok/sest. | 2835 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 14.4 GB | 256k | 80tok/sest. | 3371 tok/s | chat, coding, long documents |
| Gemma 3 27B | Q5_K_M | fits | 29.8 GB | 128k | 37tok/sest. | 1415 tok/s | chat, coding, long documents |
| Ministral 3 14B Mistral AI | Q5_K_M | fits | 30.4 GB | 134k244k with q8 cache | 36tok/sest. | 1328 tok/s | chat, coding, long documents |
| Qwen3 14B Alibaba Qwen | Q5_K_M | fits | 31.2 GB | 40k | 35tok/sest. | 1130 tok/s | chat, coding, long documents |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 27.6 GB | 128k | 40tok/sest. | 1709 tok/s | chat, coding, long documents |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 27.6 GB | 40k | 40tok/sest. | 1709 tok/s | chat, coding, long documents |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 9.7 GB | 256k | 126tok/sest. | 5251 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 26.9 GB | 160k256k with q8 cache | 41tok/sest. | 1731 tok/s | chat, coding, long documents |
| Granite 4.2 8B IBM | Q8_0 | fits | 30.2 GB | 128k | 36tok/sest. | 1554 tok/s | chat, coding, agents, long documents |
| Gemma 4 E4B | Q8_0 | fits | 12.6 GB | 128k | 93tok/sest. | 4727 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 15.8 GB | 125k | 89tok/sest. | 6319 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 23.6 GB | 128k | 47tok/sest. | 1865 tok/s | chat, coding, long documents |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | offload | 43.6 GB | – | 15tok/sest. | 1699 tok/s | chat, coding |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | offload | 49.7 GB | – | 14tok/sest. | 3520 tok/s | chat, coding |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | offload | 53.5 GB | – | 11tok/sest. | 2151 tok/s | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | offload | 41.7 GB | – | 21tok/sest. | 1508 tok/s | chat, coding, agents, long documents |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | offload | 49.7 GB | – | 16tok/sest. | 3847 tok/s | chat, coding, agents, long documents |
| Devstral Small 2 24B Mistral AI | Q4_K_M | offload | 34.8 GB | 107k195k with q8 cache | 10tok/sest. | 971 tok/s | chat, coding, agents |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 34.8 GB | – | 53tok/sest. | 7091 tok/s | chat, coding, agents, long documents |
| Qwen3 32B Alibaba Qwen | Q4_K_M | offload | 51.9 GB | 40k | 2tok/sest. | 351 tok/s | chat, coding |
| Mistral Small 3.2 24B Mistral AI | Q4_K_M | offload | 34.8 GB | 107k128k with q8 cache | 10tok/sest. | 971 tok/s | chat, coding |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | offload | 51.9 GB | 47k88k with q8 cache | 2tok/sest. | 470 tok/s | chat, coding |
| Phi-4 14B Microsoft | Q4_K_M | offload | 34.7 GB | 16k | 11tok/sest. | 1065 tok/s | chat, coding |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 102.4 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 104.2 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 78.0 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 102.6 GB | – | – | – | – |
| gpt-oss 120B OpenAI | MXFP4 | won't run | 65.0 GB | – | – | – | – |
| GLM 4.5 Air Z.ai | Q2_K | won't run | 66.7 GB | – | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 81.1 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