NVIDIA GeForce RTX 5090
32 GB · 1,792 GB/s · 575 W
Prices
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No retailer in this market lists it right now.
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 @8k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | Q8_0 | fits | 28.8 GB | 256k | 37tok/sest. | 1645 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 122B-A10B Alibaba Qwen | Q3_K_M | fits | 54.0 GB | 256k | 137tok/sest. | 4352 tok/s | chat, coding, agents, long documents |
| Qwen 3.6 27B Alibaba Qwen | Q8_0 | fits | 28.4 GB | 256k | 38tok/sest. | 1645 tok/s | chat, coding, agents, long documents |
| gpt-oss 120B OpenAI | MXFP4 | fits | 60.5 GB | 64k108k with q8 cache | 195tok/sest. | 7378 tok/s | chat, coding, agents, long documents |
| Qwen3 Coder Next Alibaba Qwen | Q6_K | fits | 62.5 GB | 17k28k with q8 cache | 192tok/sest. | 10993 tok/s | chat, coding, agents, long documents |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q3_K_M | fits | 58.8 GB | 256k | 107tok/sest. | 3833 tok/s | chat, coding, agents, long documents |
| Gemma 4 31B | Q8_0 | fits | 32.9 GB | 256k | 33tok/sest. | 1434 tok/s | chat, coding, agents, long documents |
| Mistral Small 4 119B Mistral AI | UD-Q3_K_M | fits | 52.0 GB | 397k630k with q8 cache | 196tok/sest. | 5687 tok/s | chat, coding, agents, long documents |
| Qwen 3.6 35B-A3B Alibaba Qwen | Q8_0 | fits | 35.7 GB | 256k | 201tok/sest. | 14098 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q8_0 | fits | 28.4 GB | 256k | 38tok/sest. | 1645 tok/s | chat, coding, agents, long documents |
| Gemma 4 26B-A4B | Q8_0 | fits | 26.5 GB | 256k | 147tok/sest. | 10743 tok/s | chat, coding, agents, long documents |
| GLM 4.5 Air Z.ai | Q3_K_M | fits | 55.9 GB | 45k83k with q8 cache | 64tok/sest. | 2170 tok/s | chat, coding, agents |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q6_K | fits | 62.4 GB | 20k32k with q8 cache | 247tok/sest. | 13820 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q8_0 | fits | 35.7 GB | 256k | 201tok/sest. | 14098 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q8_0 | fits | 31.2 GB | 198k | 117tok/sest. | 7890 tok/s | chat, coding, agents, long documents |
| Devstral Small 2 24B Mistral AI | Q8_0 | fits | 25.7 GB | 236k384k with q8 cache | 42tok/sest. | 1855 tok/s | chat, coding, agents, long documents |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | fits | 33.8 GB | 256k | 195tok/sest. | 14689 tok/s | chat, coding, agents, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 12.6 GB | 128k | 253tok/sest. | 10204 tok/s | chat, coding, agents, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q8_0 | fits | 49.9 GB | 959k1024k with q8 cache | 202tok/sest. | 13399 tok/s | chat, coding, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q8_0 | fits | 32.1 GB | 256k | 167tok/sest. | 10199 tok/s | chat, coding, agents, long documents |
| Qwen3 32B Alibaba Qwen | Q8_0 | fits | 35.6 GB | 40k | 30tok/sest. | 1269 tok/s | chat, coding |
| Gemma 4 12B | Q8_0 | fits | 13.4 GB | 256k | 85tok/sest. | 3743 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 10.3 GB | 256k | 113tok/sest. | 4740 tok/s | chat, coding, long documents |
| Mistral Small 3.2 24B Mistral AI | Q8_0 | fits | 25.7 GB | 128k | 42tok/sest. | 1855 tok/s | chat, coding, long documents |
| Gemma 3 27B | Q8_0 | fits | 28.9 GB | 128k | 37tok/sest. | 1667 tok/s | chat, coding, long documents |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q8_0 | fits | 35.6 GB | 114k128k with q8 cache | 30tok/sest. | 1327 tok/s | chat, coding |
| Llama 3.3 70B Meta | Q5_K_M | fits | 50.2 GB | 47k88k with q8 cache | 21tok/sest. | 619 tok/s | chat |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 15.8 GB | 256k | 71tok/sest. | 3076 tok/s | chat, coding, long documents |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 17.0 GB | 40k | 65tok/sest. | 2859 tok/s | chat, coding, long documents |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 10.4 GB | 128k | 112tok/sest. | 5003 tok/s | chat, coding, long documents |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 10.4 GB | 40k | 112tok/sest. | 5003 tok/s | chat, coding, long documents |
| Phi-4 14B Microsoft | Q8_0 | fits | 17.2 GB | 16k | 64tok/sest. | 2878 tok/s | chat, coding, long documents |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 5.6 GB | 256k | 231tok/sest. | 9542 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 10.6 GB | 256k | 109tok/sest. | 4675 tok/s | chat, coding, long documents |
| Granite 4.2 8B IBM | Q8_0 | fits | 11.1 GB | 128k | 104tok/sest. | 4640 tok/s | chat, coding, agents, long documents |
| Gemma 4 E4B | Q8_0 | fits | 9.0 GB | 128k | 131tok/sest. | 5744 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 9.9 GB | 125k | 455tok/sest. | 33526 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 8.3 GB | 128k | 145tok/sest. | 5165 tok/s | chat, coding, long documents |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | offload | 74.9 GB | – | 6tok/sest. | 682 tok/s | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | offload | 73.2 GB | – | 30tok/sest. | 3035 tok/s | chat |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 92.0 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 102.6 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