NVIDIA GeForce RTX 3080 10GB
10 GB · 760 GB/s · 320 W
Prices
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No retailer in this market lists it right now.
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 |
|---|---|---|---|---|---|---|---|
| Gemma 4 12B | Q5_K_M | fits | 9.0 GB | 25k49k with q8 cache | 53tok/sest. | 1066 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q6_K | fits | 8.0 GB | 46k76k with q8 cache | 61tok/sest. | 1349 tok/s | chat, coding |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q6_K | fits | 8.1 GB | 16k30k with q8 cache | 59tok/sest. | 1424 tok/s | chat |
| Qwen3 8B Alibaba Qwen | Q6_K | fits | 8.1 GB | 16k30k with q8 cache | 59tok/sest. | 1424 tok/s | chat |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 5.2 GB | 120k199k with q8 cache | 98tok/sest. | 2717 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q6_K | fits | 8.3 GB | 15k28k with q8 cache | 58tok/sest. | 1331 tok/s | chat |
| Granite 4.2 8B IBM | Q6_K | fits | 9.0 GB | 10k19k with q8 cache | 53tok/sest. | 1321 tok/s | chat |
| Gemma 4 E4B | Q8_0 | fits | 8.6 GB | 31k51k with q8 cache | 56tok/sest. | 1635 tok/s | chat, coding |
| LFM2.5 8B-A1B Liquid AI | UD-Q6_K | fits | 7.7 GB | 39k68k with q8 cache | 228tok/sest. | 9544 tok/s | chat, coding |
| Llama 3.1 8B Meta | Q6_K | fits | 7.9 GB | 19k35k with q8 cache | 61tok/sest. | 1471 tok/s | chat |
| Qwen 3.8 27B Alibaba Qwen | UD-Q4_K_M | offload | 16.7 GB | – | 6tok/sest. | 340 tok/s | – |
| Qwen 3.6 27B Alibaba Qwen | Q4_K_M | offload | 17.0 GB | – | 6tok/sest. | 337 tok/s | – |
| Gemma 4 31B | Q4_K_M | offload | 19.2 GB | – | 5tok/sest. | 278 tok/s | – |
| Qwen 3.6 35B-A3B Alibaba Qwen | UD-Q4_K_M | offload | 21.6 GB | – | 25tok/sest. | 2606 tok/s | chat |
| Qwen 3.5 27B Alibaba Qwen | Q4_K_M | offload | 17.0 GB | – | 6tok/sest. | 337 tok/s | – |
| Gemma 4 26B-A4B | UD-Q4_K_M | offload | 16.9 GB | – | 21tok/sest. | 2207 tok/s | chat |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q4_K_M | offload | 21.5 GB | – | 25tok/sest. | 2611 tok/s | chat |
| GLM 4.7 Flash Z.ai | Q4_K_M | offload | 18.2 GB | – | 17tok/sest. | 1566 tok/s | chat |
| Devstral Small 2 24B Mistral AI | Q4_K_M | offload | 15.3 GB | – | 7tok/sest. | 399 tok/s | – |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 33.4 GB | – | 12tok/sest. | 2337 tok/s | – |
| gpt-oss 20B OpenAI | MXFP4 | offload | 12.2 GB | – | 37tok/sest. | 2477 tok/s | chat, coding |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 28.8 GB | – | 23tok/sest. | 2231 tok/s | chat, coding |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | offload | 18.8 GB | – | 21tok/sest. | 1998 tok/s | chat |
| Qwen3 32B Alibaba Qwen | Q4_K_M | offload | 21.2 GB | – | 4tok/sest. | 236 tok/s | – |
| Mistral Small 3.2 24B Mistral AI | Q4_K_M | offload | 15.3 GB | – | 7tok/sest. | 399 tok/s | – |
| Gemma 3 27B | Q4_K_M | offload | 17.2 GB | – | 6tok/sest. | 340 tok/s | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | offload | 21.2 GB | – | 4tok/sest. | 247 tok/s | – |
| Ministral 3 14B Mistral AI | Q4_K_M | offload | 9.7 GB | 6k11k with q8 cache | 40tok/sest. | 860 tok/s | chat |
| Qwen3 14B Alibaba Qwen | Q4_K_M | offload | 10.4 GB | 1k3k with q8 cache | 25tok/sest. | 764 tok/s | chat |
| Phi-4 14B Microsoft | Q4_K_M | offload | 10.6 GB | 2k3k with q8 cache | 23tok/sest. | 760 tok/s | chat |
| 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 | – | – | – | – |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | won't run | 40.0 GB | – | – | – | – |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | won't run | 51.9 GB | – | – | – | – |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | won't run | 46.2 GB | – | – | – | – |
| gpt-oss 120B OpenAI | MXFP4 | won't run | 60.1 GB | – | – | – | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | won't run | 38.4 GB | – | – | – | – |
| GLM 4.5 Air Z.ai | Q2_K | won't run | 44.4 GB | – | – | – | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | won't run | 46.2 GB | – | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 42.8 GB | – | – | – | – |
Specifications
From the manufacturer's published specifications; sources are linked where we have them.
- GPU
- GeForce RTX 3080 10GB
- Memory
- 10 GB GDDR6X
- Memory bus
- 320-bit
- Memory bandwidth
- 760 GB/s
- FP16 compute
- 59.5 TFLOPS
- Software
- CUDA
- Board power
- 320 W
- PCIe generation
- Gen 4
- PCIe lanes
- x16