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 @128k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | Q8_0 | fits | 37.0 GB | 256k | 15tok/sest. | 393 tok/s | chat, long documents |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | fits | 44.0 GB | 224k256k with q8 cache | 52tok/sest. | 698 tok/s | chat, coding, agents, long documents |
| Qwen 3.6 27B Alibaba Qwen | Q8_0 | fits | 36.6 GB | 256k | 16tok/sest. | 393 tok/s | chat, long documents |
| Gemma 4 31B | Q8_0 | fits | 43.0 GB | 172k256k with q8 cache | 13tok/sest. | 373 tok/s | chat |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | fits | 42.1 GB | 296k471k with q8 cache | 65tok/sest. | 605 tok/s | chat, coding, agents, long documents |
| Qwen 3.6 35B-A3B Alibaba Qwen | Q8_0 | fits | 38.8 GB | 256k | 60tok/sest. | 1909 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q8_0 | fits | 36.6 GB | 256k | 16tok/sest. | 393 tok/s | chat, long documents |
| Gemma 4 26B-A4B | Q8_0 | fits | 29.6 GB | 256k | 49tok/sest. | 2317 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q8_0 | fits | 38.8 GB | 256k | 60tok/sest. | 1909 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q8_0 | fits | 38.1 GB | 198k | 28tok/sest. | 900 tok/s | chat, coding, agents, long documents |
| Devstral Small 2 24B Mistral AI | Q8_0 | fits | 45.2 GB | 137k251k with q8 cache | 13tok/sest. | 351 tok/s | chat |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | fits | 35.2 GB | 256k | 83tok/sest. | 2568 tok/s | chat, coding, agents, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q6_K | fits | 40.6 GB | 588k802k with q8 cache | 98tok/sest. | 1432 tok/s | chat, coding, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 16.1 GB | 128k | 62tok/sest. | 1500 tok/s | chat, coding, agents, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q8_0 | fits | 44.1 GB | 155k256k with q8 cache | 22tok/sest. | 555 tok/s | chat, coding, agents, long documents |
| Gemma 4 12B | Q8_0 | fits | 16.0 GB | 256k | 38tok/sest. | 963 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 14.8 GB | 256k | 42tok/sest. | 1145 tok/s | chat, coding, long documents |
| Gemma 3 27B | Q8_0 | fits | 39.0 GB | 128k | 15tok/sest. | 481 tok/s | chat |
| Mistral Small 3.2 24B Mistral AI | Q8_0 | fits | 45.2 GB | 128k | 13tok/sest. | 351 tok/s | chat |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 35.2 GB | 199k256k with q8 cache | 16tok/sest. | 451 tok/s | chat, coding, long documents |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 36.5 GB | 40k | 16tok/sest. | 384 tok/s | chat, coding, long documents |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 28.0 GB | 128k | 21tok/sest. | 581 tok/s | chat, coding, long documents |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 28.0 GB | 40k | 21tok/sest. | 581 tok/s | chat, coding, long documents |
| Phi-4 14B Microsoft | Q8_0 | fits | 41.4 GB | 16k | 14tok/sest. | 385 tok/s | chat, coding |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 10.1 GB | 256k | 66tok/sest. | 1784 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 27.3 GB | 256k | 21tok/sest. | 588 tok/s | chat, coding, long documents |
| Granite 4.2 8B IBM | Q8_0 | fits | 30.6 GB | 128k | 19tok/sest. | 528 tok/s | chat, coding, agents, long documents |
| Gemma 4 E4B | Q8_0 | fits | 13.0 GB | 128k | 48tok/sest. | 1606 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 16.2 GB | 125k | 46tok/sest. | 2147 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 24.0 GB | 128k | 24tok/sest. | 634 tok/s | chat, coding, long documents |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | offload | 50.1 GB | 14k23k with q8 cache | 37tok/sest. | 1485 tok/s | chat, coding, agents, long documents |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | offload | 53.9 GB | – | 23tok/sest. | 900 tok/s | chat, coding, long documents |
| gpt-oss 120B OpenAI | MXFP4 | offload | 65.4 GB | – | 11tok/sest. | 853 tok/s | chat, coding |
| GLM 4.5 Air Z.ai | Q2_K | offload | 67.1 GB | 18k34k with q8 cache | 3tok/sest. | 143 tok/s | chat |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | offload | 50.1 GB | 15k24k with q8 cache | 41tok/sest. | 1623 tok/s | chat, coding, agents, long documents |
| Qwen3 32B Alibaba Qwen | Q4_K_M | offload | 52.3 GB | 40k | 5tok/sest. | 147 tok/s | chat, coding |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | offload | 52.3 GB | 106k128k with q8 cache | 5tok/sest. | 197 tok/s | chat, coding |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 102.8 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 104.6 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 78.4 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 103.0 GB | – | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 81.5 GB | 19k35k with q8 cache | – | – | – |
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