NVIDIA GeForce RTX 3060 12GB vs NVIDIA GeForce RTX 3080 10GB
For running models locally, priced in Canada. At 32k context the first runs 26 models fully in memory, the second 18.
In short
The NVIDIA GeForce RTX 3060 12GB has more memory for models: 12 GB against 10 GB. At 32k context the NVIDIA GeForce RTX 3060 12GB runs 26 of the models we track fully in memory and the NVIDIA GeForce RTX 3080 10GB 18; only the NVIDIA GeForce RTX 3060 12GB holds DeepSeek R1 0528 Qwen3 8B. On the models both run fully in memory, the NVIDIA GeForce RTX 3080 10GB is about 2.1× as fast as the NVIDIA GeForce RTX 3060 12GB (estimated, median across models). In Canada the NVIDIA GeForce RTX 3060 12GB costs $600 at eBay and the NVIDIA GeForce RTX 3080 10GB $850 at eBay: the NVIDIA GeForce RTX 3060 12GB is $250 cheaper.
Updated . Speeds are estimates; how they are worked out.
Specifications
| Spec | NVIDIA GeForce RTX 3060 12GB | NVIDIA GeForce RTX 3080 10GB |
|---|---|---|
| GPU | GeForce RTX 3060 12GB | GeForce RTX 3080 10GB |
| Memory | 12 GB GDDR6 | 10 GB GDDR6X |
| Memory bus | 192-bit | 320-bit |
| Memory bandwidth | 360 GB/s | 760 GB/s |
| FP16 compute | 25.6 TFLOPS | 59.5 TFLOPS |
| Software | CUDA | CUDA |
| Board power | 170 W | 320 W |
| PCIe generation | Gen 4 | Gen 4 |
| PCIe lanes | x16 | x16 |
What each runs
Estimated decode speed with the most precise quant that fits each one est.
| Model | NVIDIA GeForce RTX 3060 12GB | NVIDIA GeForce RTX 3080 10GB |
|---|---|---|
| Gemma 4 12B | 21tok/sQ6_K | 59tok/sQ4_K_M |
| Qwen 3.5 9B | 21tok/sQ8_0 | 55tok/sQ6_K |
| DeepSeek R1 0528 Qwen3 8B | 21tok/sQ5_K_M | offload |
| Qwen3 8B | 21tok/sQ5_K_M | offload |
| Qwen 3.5 4B | 40tok/sQ8_0 | 84tok/sQ8_0 |
| Ministral 3 8B | 21tok/sQ5_K_M | offload |
| Granite 4.2 8B | 21tok/sQ4_K_M | offload |
| Gemma 4 E4B | 24tok/sQ8_0 | 59tok/sQ6_K |
| LFM2.5 8B-A1B | 50tok/sQ8_0 | 116tok/sUD-Q6_K |
| Llama 3.1 8B | 21tok/sQ6_K | offload |
| Qwen2.5 0.5B | 239tok/sQ8_0 | 505tok/sQ8_0 |
| Qwen3.5 0.8B | 181tok/sQ8_0 | 382tok/sQ8_0 |
| Qwen3.5 2B | 120tok/sQ5_K_M | 254tok/sQ5_K_M |
| DeepSeek R1 Distill Qwen 1.5B | 79tok/sQ8_0 | 166tok/sQ8_0 |
| MiniCPM5 2B | 55tok/sQ8_0 | 115tok/sQ8_0 |
| Mellum2.1 12B A2.5B Thinking | 52tok/sQ5_K_M | offload |
| Spark X2.5 4B | 52tok/smlx-4bit | 110tok/smlx-4bit |
| LFM2.5 2.6B | 46tok/sQ8_0 | 96tok/sQ8_0 |
| LFM2.5 VL 3B | 46tok/sQ8_0 | 96tok/sQ8_0 |
| granite vision 4.1 4b | 35tok/sQ8_0 | 75tok/sQ8_0 |
| granite 4.2 3b | 34tok/sQ8_0 | 72tok/sQ8_0 |
| GLM 4.6V Flash | 30tok/sQ4_K_M | 63tok/sQ4_K_M |
| GLM 4 9B 0414 | 23tok/smlx-5bit | 56tok/smlx-4bit |
| DeepSeek R1 Distill Qwen 7B | 22tok/sQ8_0 | 58tok/sQ6_K |
| Ministral 3 8B Reasoning 2512 | 21tok/sQ5_K_M | offload |
| DeepSeek R1 Distill Llama 8B | 21tok/sQ6_K | offload |
| Qwen 3.8 27B | offload | offload |
| Qwen 3.6 27B | offload | offload |
| Gemma 4 31B | offload | offload |
| Qwen 3.6 35B-A3B | offload | offload |
| Qwen 3.5 27B | offload | offload |
| Gemma 4 26B-A4B | offload | offload |
| Qwen 3.5 35B-A3B | offload | offload |
| GLM 4.7 Flash | offload | offload |
| Devstral Small 2 24B | offload | offload |
| Nemotron 3.5 Lightning 30B-A3B | offload | offload |
| gpt-oss 20B | offload | offload |
| Kimi Linear 48B-A3B | offload | offload |
| Qwen3 Coder 30B-A3B | offload | offload |
| Qwen3 32B | offload | offload |
| Gemma 3 27B | offload | offload |
| Mistral Small 3.2 24B | offload | offload |
| DeepSeek R1 Distill Qwen 32B | offload | offload |
| Ministral 3 14B | offload | offload |
| Qwen3 14B | offload | offload |
| Phi-4 14B | offload | offload |
| Kimi VL A3B Thinking 2506 | offload | offload |
| Kimi VL A3B | offload | offload |
| LFM2.5 24B A2B | offload | offload |
| GLM 4.1V 9B Thinking | offload | offload |
| DeepSeek R1 Distill Qwen 14B | offload | offload |
| Devstral Small 2507 | offload | offload |
| Magistral Small 2506 | offload | offload |
| Magistral Small 2507 | offload | offload |
| Magistral Small 2509 | offload | offload |
| Qwen3.8 27B OBLITERATED | offload | offload |
| granite 4.2 30b | offload | offload |
| DeepSeek V4 Flash | won't run | won't run |
| GLM 5.3 Flash | won't run | won't run |
| Qwen 3.8 Flash Next | won't run | won't run |
| MiniMax M2.7 | won't run | won't run |
| Qwen 3.5 122B-A10B | won't run | won't run |
| Nemotron 3 Super 120B-A12B | won't run | won't run |
| Qwen3 Coder Next | won't run | won't run |
| gpt-oss 120B | won't run | won't run |
| Mistral Small 4 119B | won't run | won't run |
| GLM 4.5 Air | won't run | won't run |
| Qwen3 Next 80B-A3B | won't run | won't run |
| Llama 3.3 70B | won't run | won't run |
| DeepSeek R1 | won't run | won't run |
| DeepSeek R1 0528 | won't run | won't run |
| DeepSeek R1 Distill Llama 70B | won't run | won't run |
| DeepSeek R1 Zero | won't run | won't run |
| DeepSeek V3 0324 | won't run | won't run |
| DeepSeek V3.1 | won't run | won't run |
| DeepSeek V3.1 Terminus | won't run | won't run |
| DeepSeek V3.2 | won't run | won't run |
| DeepSeek V4 Flash 0731 | won't run | won't run |
| DeepSeek V4 Flash Vision Exp | won't run | won't run |
| Devstral 2 123B Instruct 2512 | won't run | won't run |
| GLM 4.5V | won't run | won't run |
| GLM 4.6 | won't run | won't run |
| GLM 4.6V | won't run | won't run |
| GLM 4.7 | won't run | won't run |
| GLM 5.1 | won't run | won't run |
| GLM 5.2 | won't run | won't run |
| GLM 5.3 | won't run | won't run |
| Kimi Dev 72B | won't run | won't run |
| Kimi K2 | won't run | won't run |
| Kimi K2 Instruct 0905 | won't run | won't run |
| Kimi K2 Thinking | won't run | won't run |
| Kimi K2.5 | won't run | won't run |
| MiniMax M2 | won't run | won't run |
| MiniMax M2.1 | won't run | won't run |
| MiniMax M2.5 | won't run | won't run |
| MiniMax M3 | won't run | won't run |
| Mistral Medium 3.5 128B | won't run | won't run |
Questions
- Which is better for local AI, the NVIDIA GeForce RTX 3060 12GB or the NVIDIA GeForce RTX 3080 10GB?
- Choose the NVIDIA GeForce RTX 3060 12GB to run bigger models. Choose the NVIDIA GeForce RTX 3080 10GB for speed. Choose the NVIDIA GeForce RTX 3060 12GB to spend less.
- Which can run bigger models, the NVIDIA GeForce RTX 3060 12GB or the NVIDIA GeForce RTX 3080 10GB?
- At 32k context the NVIDIA GeForce RTX 3060 12GB runs 26 of the models we track fully in memory and the NVIDIA GeForce RTX 3080 10GB 18; only the NVIDIA GeForce RTX 3060 12GB holds DeepSeek R1 0528 Qwen3 8B.
- Which is faster for local AI, the NVIDIA GeForce RTX 3060 12GB or the NVIDIA GeForce RTX 3080 10GB?
- On the models both run fully in memory, the NVIDIA GeForce RTX 3080 10GB is about 2.1× as fast as the NVIDIA GeForce RTX 3060 12GB (estimated, median across models).
- What is the price difference between the NVIDIA GeForce RTX 3060 12GB and the NVIDIA GeForce RTX 3080 10GB?
- In Canada the NVIDIA GeForce RTX 3060 12GB costs $600 at eBay and the NVIDIA GeForce RTX 3080 10GB $850 at eBay: the NVIDIA GeForce RTX 3060 12GB is $250 cheaper.
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