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 @32k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | Q8_0 | fits | 30.1 GB | 51k89k with q8 cache | 35tok/sest. | 1517 tok/s | chat, coding, agents |
| Qwen 3.6 27B Alibaba Qwen | Q8_0 | fits | 29.7 GB | 57k100k with q8 cache | 36tok/sest. | 1517 tok/s | chat, coding, agents |
| Gemma 4 31B | Q6_K | fits | 27.6 GB | 76k143k with q8 cache | 39tok/sest. | 1351 tok/s | chat, coding, agents |
| Qwen 3.6 35B-A3B Alibaba Qwen | UD-Q6_K | fits | 28.9 GB | 131k206k with q8 cache | 210tok/sest. | 10830 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q8_0 | fits | 29.7 GB | 57k100k with q8 cache | 36tok/sest. | 1517 tok/s | chat, coding, agents |
| Gemma 4 26B-A4B | Q8_0 | fits | 26.7 GB | 216k256k with q8 cache | 132tok/sest. | 9635 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q6_K | fits | 28.4 GB | 148k232k with q8 cache | 212tok/sest. | 10830 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q6_K | fits | 25.5 GB | 133k198k with q8 cache | 114tok/sest. | 5654 tok/s | chat, coding, agents, long documents |
| Devstral Small 2 24B Mistral AI | Q8_0 | fits | 29.2 GB | 45k82k with q8 cache | 37tok/sest. | 1601 tok/s | chat, coding, agents |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | fits | 29.2 GB | 196k267k with q8 cache | 311tok/sest. | 9333 tok/s | chat, coding, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 12.9 GB | 128k | 206tok/sest. | 8085 tok/s | chat, coding, agents, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q6_K | fits | 27.3 GB | 73k131k with q8 cache | 117tok/sest. | 4980 tok/s | chat, coding, agents |
| Qwen3 32B Alibaba Qwen | Q5_K_M | fits | 30.5 GB | 35k40k with q8 cache | 35tok/sest. | 942 tok/s | chat, coding |
| Gemma 4 12B | Q8_0 | fits | 13.5 GB | 256k | 82tok/sest. | 3518 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 10.8 GB | 256k | 104tok/sest. | 4384 tok/s | chat, coding, long documents |
| Mistral Small 3.2 24B Mistral AI | Q8_0 | fits | 29.2 GB | 45k82k with q8 cache | 37tok/sest. | 1601 tok/s | chat, coding |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q5_K_M | fits | 30.6 GB | 35k65k with q8 cache | 35tok/sest. | 1081 tok/s | chat, coding |
| Gemma 3 27B | Q8_0 | fits | 30.5 GB | 42k79k with q8 cache | 35tok/sest. | 1610 tok/s | chat, coding |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 19.3 GB | 106k194k with q8 cache | 56tok/sest. | 2435 tok/s | chat, coding |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 20.5 GB | 40k | 53tok/sest. | 2189 tok/s | chat, coding |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 13.5 GB | 128k | 82tok/sest. | 3611 tok/s | chat, coding, long documents |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 13.5 GB | 40k | 82tok/sest. | 3611 tok/s | chat, coding, long documents |
| Phi-4 14B Microsoft | Q8_0 | fits | 21.6 GB | 16k | 50tok/sest. | 2201 tok/s | chat, coding |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 6.1 GB | 256k | 198tok/sest. | 8202 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 13.5 GB | 160k256k with q8 cache | 82tok/sest. | 3488 tok/s | chat, coding, long documents |
| Granite 4.2 8B IBM | Q8_0 | fits | 14.6 GB | 128k | 76tok/sest. | 3321 tok/s | chat, coding, agents, long documents |
| Gemma 4 E4B | Q8_0 | fits | 9.4 GB | 128k | 121tok/sest. | 5507 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 10.8 GB | 125k | 249tok/sest. | 18013 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 11.0 GB | 128k | 102tok/sest. | 3815 tok/s | chat, coding, long documents |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | offload | 40.7 GB | – | 28tok/sest. | 3056 tok/s | chat, coding |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | offload | 46.9 GB | – | 27tok/sest. | 6840 tok/s | chat, coding |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | offload | 52.2 GB | – | 13tok/sest. | 2722 tok/s | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | offload | 39.0 GB | – | 43tok/sest. | 3480 tok/s | chat, coding, agents, long documents |
| GLM 4.5 Air Z.ai | Q2_K | offload | 48.8 GB | – | 6tok/sest. | 1034 tok/s | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | offload | 46.9 GB | – | 33tok/sest. | 8139 tok/s | chat, coding, agents, long documents |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 33.7 GB | – | 78tok/sest. | 11834 tok/s | chat, coding, agents, long documents |
| Llama 3.3 70B Meta | Q4_K_M | offload | 50.5 GB | – | 2tok/sest. | 393 tok/s | – |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 93.8 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 102.6 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 75.2 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 78.8 GB | – | – | – | – |
| gpt-oss 120B OpenAI | MXFP4 | won't run | 61.1 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