NVIDIA GeForce RTX 3080 10GB
10 GB · 760 GB/s · 320 W
Prices
Every retailer we track in Canada, cheapest first. Buy links may earn us a commission.
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 @128k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.5 4B Alibaba Qwen | Q6_K | fits | 8.8 GB | 144k239k with q8 cache | 60tok/sest. | 1495 tok/s | chat, coding, long documents |
| Qwen 3.8 27B Alibaba Qwen | UD-Q4_K_M | offload | 24.9 GB | – | 3tok/sest. | 199 tok/s | – |
| Qwen 3.6 27B Alibaba Qwen | Q4_K_M | offload | 25.3 GB | – | 3tok/sest. | 198 tok/s | – |
| Gemma 4 31B | Q4_K_M | offload | 29.3 GB | – | 2tok/sest. | 179 tok/s | – |
| Qwen 3.6 35B-A3B Alibaba Qwen | UD-Q4_K_M | offload | 24.6 GB | – | 10tok/sest. | 969 tok/s | chat |
| Qwen 3.5 27B Alibaba Qwen | Q4_K_M | offload | 25.2 GB | – | 3tok/sest. | 198 tok/s | – |
| Gemma 4 26B-A4B | UD-Q4_K_M | offload | 19.9 GB | – | 9tok/sest. | 1278 tok/s | chat |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q4_K_M | offload | 24.5 GB | – | 10tok/sest. | 971 tok/s | chat |
| GLM 4.7 Flash Z.ai | Q4_K_M | offload | 25.1 GB | – | 5tok/sest. | 454 tok/s | chat |
| Devstral Small 2 24B Mistral AI | Q4_K_M | offload | 34.8 GB | – | 2tok/sest. | 160 tok/s | – |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 34.8 GB | – | 10tok/sest. | 1168 tok/s | – |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 30.5 GB | – | 15tok/sest. | 677 tok/s | chat, coding |
| gpt-oss 20B OpenAI | MXFP4 | offload | 15.7 GB | – | 11tok/sest. | 923 tok/s | chat, coding |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | offload | 30.7 GB | – | 3tok/sest. | 262 tok/s | chat |
| Gemma 4 12B | Q4_K_M | offload | 10.4 GB | 81k134k with q8 cache | 26tok/sest. | 753 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q4_K_M | offload | 10.8 GB | 90k149k with q8 cache | 22tok/sest. | 874 tok/s | chat, coding, long documents |
| Gemma 3 27B | Q4_K_M | offload | 27.3 GB | – | 3tok/sest. | 236 tok/s | – |
| Mistral Small 3.2 24B Mistral AI | Q4_K_M | offload | 34.8 GB | – | 2tok/sest. | 160 tok/s | – |
| Ministral 3 14B Mistral AI | Q4_K_M | offload | 29.1 GB | 6k11k with q8 cache | 2tok/sest. | 216 tok/s | chat |
| Qwen3 14B Alibaba Qwen | Q4_K_M | offload | 29.8 GB | 1k3k with q8 cache | 2tok/sest. | 183 tok/s | chat |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q4_K_M | offload | 24.1 GB | 27k49k with q8 cache | 3tok/sest. | 297 tok/s | chat, coding |
| Qwen3 8B Alibaba Qwen | Q4_K_M | offload | 24.1 GB | 27k40k with q8 cache | 3tok/sest. | 297 tok/s | chat, coding |
| Phi-4 14B Microsoft | Q4_K_M | offload | 34.7 GB | 2k3k with q8 cache | 2tok/sest. | 175 tok/s | chat |
| Ministral 3 8B Mistral AI | Q4_K_M | offload | 23.3 GB | 27k50k with q8 cache | 3tok/sest. | 305 tok/s | chat, coding |
| Granite 4.2 8B IBM | Q4_K_M | offload | 26.6 GB | 21k39k with q8 cache | 3tok/sest. | 261 tok/s | chat |
| Gemma 4 E4B | Q4_K_M | offload | 9.6 GB | 121k128k with q8 cache | 44tok/sest. | 1324 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | UD-Q4_K_M | offload | 12.4 GB | 70k121k with q8 cache | 13tok/sest. | 1503 tok/s | chat, coding |
| Llama 3.1 8B Meta | Q4_K_M | offload | 22.0 GB | 31k56k with q8 cache | 4tok/sest. | 336 tok/s | chat, coding |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 102.4 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 104.2 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 78.0 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 102.6 GB | – | – | – | – |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | won't run | 43.6 GB | – | – | – | – |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | won't run | 53.5 GB | – | – | – | – |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | won't run | 49.7 GB | – | – | – | – |
| gpt-oss 120B OpenAI | MXFP4 | won't run | 65.0 GB | – | – | – | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | won't run | 41.7 GB | – | – | – | – |
| GLM 4.5 Air Z.ai | Q2_K | won't run | 66.7 GB | – | – | – | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | won't run | 49.7 GB | – | – | – | – |
| Qwen3 32B Alibaba Qwen | Q4_K_M | won't run | 51.9 GB | – | – | – | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | won't run | 51.9 GB | – | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 81.1 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