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 @32k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | UD-Q4_K_M | fits | 18.8 GB | 32k56k with q8 cache | 25tok/sest. | 432 tok/s | chat, coding |
| Gemma 4 26B-A4B | UD-Q4_K_M | fits | 17.9 GB | 67k111k with q8 cache | 81tok/sest. | 2743 tok/s | chat, coding, agents, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 13.3 GB | 128k | 87tok/sest. | 2302 tok/s | chat, coding, agents, long documents |
| Gemma 4 12B | Q8_0 | fits | 13.9 GB | 256k | 35tok/sest. | 1001 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 11.2 GB | 236k256k with q8 cache | 44tok/sest. | 1248 tok/s | chat, coding, long documents |
| Ministral 3 14B Mistral AI | Q6_K | fits | 16.6 GB | 45k82k with q8 cache | 29tok/sest. | 693 tok/s | chat, coding |
| Qwen3 14B Alibaba Qwen | Q6_K | fits | 17.6 GB | 39k40k with q8 cache | 27tok/sest. | 623 tok/s | chat, coding |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 13.9 GB | 65k119k with q8 cache | 35tok/sest. | 1028 tok/s | chat, coding |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 13.9 GB | 40k | 35tok/sest. | 1028 tok/s | chat, coding |
| Phi-4 14B Microsoft | Q6_K | fits | 18.7 GB | 16k | 25tok/sest. | 627 tok/s | chat, coding |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 6.5 GB | 256k | 84tok/sest. | 2335 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 13.9 GB | 67k121k with q8 cache | 35tok/sest. | 993 tok/s | chat, coding |
| Granite 4.2 8B IBM | Q8_0 | fits | 15.0 GB | 55k101k with q8 cache | 32tok/sest. | 945 tok/s | chat, coding, agents |
| Gemma 4 E4B | Q8_0 | fits | 9.8 GB | 128k | 51tok/sest. | 1568 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 11.2 GB | 125k | 106tok/sest. | 5128 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 11.4 GB | 88k128k with q8 cache | 43tok/sest. | 1086 tok/s | chat, coding |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | offload | 41.1 GB | – | 12tok/sest. | 672 tok/s | – |
| Qwen 3.6 27B Alibaba Qwen | Q4_K_M | offload | 19.1 GB | 27k48k with q8 cache | 22tok/sest. | 428 tok/s | chat, coding |
| Gemma 4 31B | Q4_K_M | offload | 21.6 GB | –4k with q8 cache | 10tok/sest. | 353 tok/s | chat |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | offload | 39.4 GB | – | 17tok/sest. | 760 tok/s | chat |
| Qwen 3.6 35B-A3B Alibaba Qwen | UD-Q4_K_M | offload | 22.6 GB | – | 46tok/sest. | 2754 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q4_K_M | offload | 19.0 GB | 28k50k with q8 cache | 23tok/sest. | 429 tok/s | chat, coding |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q4_K_M | offload | 22.5 GB | – | 47tok/sest. | 2762 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q4_K_M | offload | 20.0 GB | 11k19k with q8 cache | 39tok/sest. | 1548 tok/s | chat, coding, agents |
| Devstral Small 2 24B Mistral AI | Q4_K_M | offload | 19.6 GB | 26k48k with q8 cache | 18tok/sest. | 443 tok/s | chat |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 34.1 GB | – | 17tok/sest. | 2533 tok/s | chat |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 29.6 GB | – | 33tok/sest. | 2050 tok/s | chat, coding, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | offload | 21.6 GB | 4k7k with q8 cache | 27tok/sest. | 1302 tok/s | chat, coding |
| Qwen3 32B Alibaba Qwen | Q4_K_M | offload | 27.7 GB | – | 5tok/sest. | 214 tok/s | – |
| Gemma 3 27B | Q4_K_M | offload | 19.6 GB | 22k43k with q8 cache | 18tok/sest. | 446 tok/s | chat |
| Mistral Small 3.2 24B Mistral AI | Q4_K_M | offload | 19.6 GB | 26k48k with q8 cache | 18tok/sest. | 443 tok/s | chat |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | offload | 27.8 GB | – | 5tok/sest. | 245 tok/s | – |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 94.2 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 103.0 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 75.6 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 79.2 GB | – | – | – | – |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | won't run | 52.6 GB | – | – | – | – |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | won't run | 47.3 GB | – | – | – | – |
| gpt-oss 120B OpenAI | MXFP4 | won't run | 61.5 GB | – | – | – | – |
| GLM 4.5 Air Z.ai | Q2_K | won't run | 49.2 GB | – | – | – | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | won't run | 47.3 GB | – | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 50.9 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