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 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 |
|---|---|---|---|---|---|---|---|
| gpt-oss 20B OpenAI | MXFP4 | fits | 16.1 GB | 128k | 50tok/sest. | 1257 tok/s | chat, coding, agents, long documents |
| Gemma 4 12B | Q8_0 | fits | 16.0 GB | 256k | 31tok/sest. | 807 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 14.8 GB | 236k256k with q8 cache | 34tok/sest. | 960 tok/s | chat, coding, long documents |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 10.1 GB | 256k | 53tok/sest. | 1495 tok/s | chat, coding, long documents |
| Gemma 4 E4B | Q8_0 | fits | 13.0 GB | 128k | 39tok/sest. | 1346 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 16.2 GB | 125k | 38tok/sest. | 1799 tok/s | chat, coding, long documents |
| Qwen 3.8 27B Alibaba Qwen | UD-Q4_K_M | offload | 25.3 GB | 32k56k with q8 cache | 6tok/sest. | 274 tok/s | chat, coding |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | offload | 44.0 GB | – | 8tok/sest. | 375 tok/s | – |
| Qwen 3.6 27B Alibaba Qwen | Q4_K_M | offload | 25.7 GB | 27k48k with q8 cache | 6tok/sest. | 272 tok/s | chat, coding |
| Gemma 4 31B | Q4_K_M | offload | 29.7 GB | –4k with q8 cache | 4tok/sest. | 239 tok/s | chat |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | offload | 42.1 GB | – | 10tok/sest. | 331 tok/s | chat |
| Qwen 3.6 35B-A3B Alibaba Qwen | UD-Q4_K_M | offload | 25.0 GB | – | 20tok/sest. | 1342 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q4_K_M | offload | 25.6 GB | 28k50k with q8 cache | 6tok/sest. | 273 tok/s | chat, coding |
| Gemma 4 26B-A4B | UD-Q4_K_M | offload | 20.3 GB | 67k111k with q8 cache | 31tok/sest. | 1846 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q4_K_M | offload | 24.9 GB | – | 20tok/sest. | 1345 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q4_K_M | offload | 25.5 GB | 11k19k with q8 cache | 9tok/sest. | 626 tok/s | chat, coding, agents |
| Devstral Small 2 24B Mistral AI | Q4_K_M | offload | 35.2 GB | 26k48k with q8 cache | 3tok/sest. | 208 tok/s | chat |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 35.2 GB | – | 14tok/sest. | 1516 tok/s | chat |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 30.9 GB | – | 23tok/sest. | 901 tok/s | chat, coding, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | offload | 31.1 GB | 4k7k with q8 cache | 5tok/sest. | 348 tok/s | chat, coding |
| Gemma 3 27B | Q4_K_M | offload | 27.7 GB | 22k43k with q8 cache | 5tok/sest. | 320 tok/s | chat |
| Mistral Small 3.2 24B Mistral AI | Q4_K_M | offload | 35.2 GB | 26k48k with q8 cache | 3tok/sest. | 208 tok/s | chat |
| Ministral 3 14B Mistral AI | Q4_K_M | offload | 29.5 GB | 61k112k with q8 cache | 4tok/sest. | 290 tok/s | chat, coding |
| Qwen3 14B Alibaba Qwen | Q4_K_M | offload | 30.2 GB | 40k | 4tok/sest. | 244 tok/s | chat, coding |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q4_K_M | offload | 24.5 GB | 88k128k with q8 cache | 7tok/sest. | 413 tok/s | chat, coding |
| Qwen3 8B Alibaba Qwen | Q4_K_M | offload | 24.5 GB | 40k | 7tok/sest. | 413 tok/s | chat, coding |
| Phi-4 14B Microsoft | Q4_K_M | offload | 35.1 GB | 16k | 3tok/sest. | 228 tok/s | chat, coding |
| Ministral 3 8B Mistral AI | Q4_K_M | offload | 23.7 GB | 92k168k with q8 cache | 7tok/sest. | 427 tok/s | chat, coding |
| Granite 4.2 8B IBM | Q4_K_M | offload | 27.0 GB | 77k128k with q8 cache | 5tok/sest. | 356 tok/s | chat, coding, agents |
| Llama 3.1 8B Meta | Q4_K_M | offload | 22.4 GB | 100k128k with q8 cache | 9tok/sest. | 475 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 | – | – | – | – |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | won't run | 53.9 GB | – | – | – | – |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | won't run | 50.1 GB | – | – | – | – |
| gpt-oss 120B OpenAI | MXFP4 | won't run | 65.4 GB | – | – | – | – |
| GLM 4.5 Air Z.ai | Q2_K | won't run | 67.1 GB | – | – | – | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | won't run | 50.1 GB | – | – | – | – |
| Qwen3 32B Alibaba Qwen | Q4_K_M | won't run | 52.3 GB | – | – | – | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | won't run | 52.3 GB | – | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 81.5 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