NVIDIA GeForce RTX 3090
24 GB · 936 GB/s · 350 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 @64k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | Q8_0 | fits | 32.7 GB | 256k | 17tok/sest. | 467 tok/s | chat, long documents |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | fits | 42.1 GB | 224k256k with q8 cache | 68tok/sest. | 972 tok/s | chat, coding, agents, long documents |
| Qwen 3.6 27B Alibaba Qwen | Q8_0 | fits | 32.2 GB | 256k | 18tok/sest. | 467 tok/s | chat, long documents |
| Gemma 4 31B | Q8_0 | fits | 37.7 GB | 172k256k with q8 cache | 15tok/sest. | 426 tok/s | chat |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | fits | 40.3 GB | 296k471k with q8 cache | 90tok/sest. | 955 tok/s | chat, coding, agents, long documents |
| Qwen 3.6 35B-A3B Alibaba Qwen | Q8_0 | fits | 37.2 GB | 256k | 78tok/sest. | 2810 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q8_0 | fits | 32.2 GB | 256k | 18tok/sest. | 467 tok/s | chat, long documents |
| Gemma 4 26B-A4B | Q8_0 | fits | 27.9 GB | 256k | 61tok/sest. | 2877 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q8_0 | fits | 37.2 GB | 256k | 78tok/sest. | 2810 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q8_0 | fits | 34.4 GB | 198k | 39tok/sest. | 1394 tok/s | chat, coding, agents, long documents |
| Devstral Small 2 24B Mistral AI | Q8_0 | fits | 34.8 GB | 137k251k with q8 cache | 16tok/sest. | 460 tok/s | chat |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | fits | 34.5 GB | 256k | 92tok/sest. | 3465 tok/s | chat, coding, agents, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q6_K | fits | 39.7 GB | 588k802k with q8 cache | 115tok/sest. | 2257 tok/s | chat, coding, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 14.3 GB | 128k | 86tok/sest. | 2151 tok/s | chat, coding, agents, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q8_0 | fits | 37.7 GB | 155k256k with q8 cache | 36tok/sest. | 1006 tok/s | chat, coding, agents, long documents |
| Qwen3 32B Alibaba Qwen | Q6_K | fits | 42.5 GB | 40k | 13tok/sest. | 238 tok/s | chat |
| Gemma 4 12B | Q8_0 | fits | 14.6 GB | 256k | 41tok/sest. | 1106 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 12.4 GB | 256k | 50tok/sest. | 1354 tok/s | chat, coding, long documents |
| Gemma 3 27B | Q8_0 | fits | 33.6 GB | 128k | 17tok/sest. | 523 tok/s | chat |
| Mistral Small 3.2 24B Mistral AI | Q8_0 | fits | 34.8 GB | 128k | 16tok/sest. | 460 tok/s | chat |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q6_K | fits | 42.5 GB | 80k128k with q8 cache | 13tok/sest. | 295 tok/s | chat |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 24.8 GB | 199k256k with q8 cache | 23tok/sest. | 647 tok/s | chat, coding, long documents |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 26.1 GB | 40k | 22tok/sest. | 567 tok/s | chat, coding, long documents |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 18.6 GB | 128k | 32tok/sest. | 895 tok/s | chat, coding, long documents |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 18.6 GB | 40k | 32tok/sest. | 895 tok/s | chat, coding, long documents |
| Phi-4 14B Microsoft | Q8_0 | fits | 28.5 GB | 16k | 20tok/sest. | 569 tok/s | chat, coding |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 7.7 GB | 256k | 87tok/sest. | 2347 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 18.4 GB | 256k | 32tok/sest. | 885 tok/s | chat, coding, long documents |
| Granite 4.2 8B IBM | Q8_0 | fits | 20.2 GB | 128k | 29tok/sest. | 818 tok/s | chat, coding, agents, long documents |
| Gemma 4 E4B | Q8_0 | fits | 10.9 GB | 128k | 57tok/sest. | 1773 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 12.9 GB | 125k | 81tok/sest. | 3784 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 15.6 GB | 128k | 38tok/sest. | 961 tok/s | chat, coding, long documents |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | offload | 48.2 GB | 14k23k with q8 cache | 66tok/sest. | 2210 tok/s | chat, coding, agents, long documents |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | offload | 53.0 GB | – | 27tok/sest. | 1047 tok/s | chat, coding, long documents |
| gpt-oss 120B OpenAI | MXFP4 | offload | 62.8 GB | – | 18tok/sest. | 1271 tok/s | chat, coding |
| GLM 4.5 Air Z.ai | Q2_K | offload | 55.2 GB | 18k34k with q8 cache | 7tok/sest. | 268 tok/s | chat |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | offload | 48.2 GB | 15k24k with q8 cache | 77tok/sest. | 2521 tok/s | chat, coding, agents, long documents |
| Llama 3.3 70B Meta | Q4_K_M | offload | 61.1 GB | 19k35k with q8 cache | 3tok/sest. | 121 tok/s | – |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 97.0 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 103.5 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 76.5 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 87.1 GB | – | – | – | – |
Specifications
From the manufacturer's published specifications; sources are linked where we have them.
- GPU
- GeForce RTX 3090
- Memory
- 24 GB GDDR6X
- Memory bus
- 384-bit
- Memory bandwidth
- 936 GB/s
- FP16 compute
- 71 TFLOPS
- Software
- CUDA
- Board power
- 350 W
- PCIe generation
- Gen 4
- PCIe lanes
- x16