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 @8k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | Q8_0 | fits | 28.4 GB | 51k89k with q8 cache | 37tok/sest. | 1645 tok/s | chat, coding, agents |
| Qwen 3.6 27B Alibaba Qwen | Q8_0 | fits | 28.0 GB | 57k100k with q8 cache | 38tok/sest. | 1645 tok/s | chat, coding, agents |
| Gemma 4 31B | Q6_K | fits | 25.6 GB | 76k143k with q8 cache | 42tok/sest. | 1434 tok/s | chat, coding, agents |
| Qwen 3.6 35B-A3B Alibaba Qwen | UD-Q6_K | fits | 28.3 GB | 131k206k with q8 cache | 249tok/sest. | 14098 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q8_0 | fits | 28.0 GB | 57k100k with q8 cache | 38tok/sest. | 1645 tok/s | chat, coding, agents |
| Gemma 4 26B-A4B | Q8_0 | fits | 26.1 GB | 216k256k with q8 cache | 147tok/sest. | 10743 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q6_K | fits | 27.8 GB | 148k232k with q8 cache | 253tok/sest. | 14098 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q8_0 | fits | 30.8 GB | 18k31k with q8 cache | 117tok/sest. | 7890 tok/s | chat, coding, agents |
| Devstral Small 2 24B Mistral AI | Q8_0 | fits | 25.3 GB | 45k82k with q8 cache | 42tok/sest. | 1855 tok/s | chat, coding, agents |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | fits | 28.8 GB | 196k267k with q8 cache | 343tok/sest. | 13399 tok/s | chat, coding, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 12.2 GB | 128k | 253tok/sest. | 10204 tok/s | chat, coding, agents, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q6_K | fits | 24.9 GB | 73k131k with q8 cache | 204tok/sest. | 10199 tok/s | chat, coding, agents |
| Qwen3 32B Alibaba Qwen | Q6_K | fits | 27.8 GB | 22k40k with q8 cache | 38tok/sest. | 1269 tok/s | chat |
| Gemma 4 12B | Q8_0 | fits | 13.0 GB | 256k | 85tok/sest. | 3743 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 9.9 GB | 256k | 113tok/sest. | 4740 tok/s | chat, coding, long documents |
| Mistral Small 3.2 24B Mistral AI | Q8_0 | fits | 25.3 GB | 45k82k with q8 cache | 42tok/sest. | 1855 tok/s | chat, coding |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q6_K | fits | 27.8 GB | 22k40k with q8 cache | 38tok/sest. | 1327 tok/s | chat |
| Gemma 3 27B | Q8_0 | fits | 28.5 GB | 42k79k with q8 cache | 37tok/sest. | 1667 tok/s | chat, coding |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 15.4 GB | 106k194k with q8 cache | 71tok/sest. | 3076 tok/s | chat, coding |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 16.6 GB | 40k | 65tok/sest. | 2859 tok/s | chat, coding |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 10.0 GB | 128k | 112tok/sest. | 5003 tok/s | chat, coding, long documents |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 10.0 GB | 40k | 112tok/sest. | 5003 tok/s | chat, coding, long documents |
| Phi-4 14B Microsoft | Q8_0 | fits | 16.8 GB | 16k | 64tok/sest. | 2878 tok/s | chat, coding |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 5.2 GB | 256k | 231tok/sest. | 9542 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 10.2 GB | 160k256k with q8 cache | 109tok/sest. | 4675 tok/s | chat, coding, long documents |
| Granite 4.2 8B IBM | Q8_0 | fits | 10.7 GB | 128k | 104tok/sest. | 4640 tok/s | chat, coding, agents, long documents |
| Gemma 4 E4B | Q8_0 | fits | 8.6 GB | 128k | 131tok/sest. | 5744 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 9.5 GB | 125k | 455tok/sest. | 33526 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 7.9 GB | 128k | 145tok/sest. | 5165 tok/s | chat, coding, long documents |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | offload | 40.0 GB | – | 34tok/sest. | 3778 tok/s | chat, coding |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | offload | 46.2 GB | – | 34tok/sest. | 8846 tok/s | chat, coding |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | offload | 51.9 GB | – | 14tok/sest. | 2912 tok/s | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | offload | 38.4 GB | – | 56tok/sest. | 5055 tok/s | chat, coding, agents, long documents |
| GLM 4.5 Air Z.ai | Q2_K | offload | 44.4 GB | – | 11tok/sest. | 1782 tok/s | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | offload | 46.2 GB | – | 44tok/sest. | 11123 tok/s | chat, coding, agents, long documents |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 33.4 GB | – | 87tok/sest. | 14140 tok/s | chat, coding, agents, long documents |
| Llama 3.3 70B Meta | Q4_K_M | offload | 42.8 GB | – | 4tok/sest. | 518 tok/s | – |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 91.6 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 102.2 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 74.5 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 72.8 GB | – | – | – | – |
| gpt-oss 120B OpenAI | MXFP4 | won't run | 60.1 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