NVIDIA GeForce RTX 3060 12GB vs NVIDIA GeForce RTX 5060 Ti 16GB
For running models locally, priced in India. At 64k context the first runs 5 models fully in memory, the second 10.
In short
The NVIDIA GeForce RTX 5060 Ti 16GB has more memory for models: 16 GB against 12 GB. At 64k context the NVIDIA GeForce RTX 5060 Ti 16GB runs 10 of the models we track fully in memory and the NVIDIA GeForce RTX 3060 12GB 5; only the NVIDIA GeForce RTX 5060 Ti 16GB holds gpt-oss 20B. On the models both run fully in memory, the NVIDIA GeForce RTX 5060 Ti 16GB is about 1.2× as fast as the NVIDIA GeForce RTX 3060 12GB (estimated, median across models).
Updated . Speeds are estimates; how they are worked out.
Specifications
| Spec | NVIDIA GeForce RTX 3060 12GB | NVIDIA GeForce RTX 5060 Ti 16GB |
|---|---|---|
| GPU | GeForce RTX 3060 12GB | GeForce RTX 5060 Ti 16GB |
| Memory | 12 GB GDDR6 | 16 GB GDDR7 |
| Memory bus | 192-bit | 128-bit |
| Memory bandwidth | 360 GB/s | 448 GB/s |
| FP16 compute | 25.6 TFLOPS | 47 TFLOPS |
| Software | CUDA | CUDA |
| Board power | 170 W | 180 W |
| PCIe generation | Gen 4 | Gen 5 |
| PCIe lanes | x16 | x8 |
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 5060 Ti 16GB |
|---|---|---|
| gpt-oss 20B | offload | 41tok/sMXFP4 |
| Gemma 4 12B | 23tok/sQ5_K_M | 20tok/sQ8_0 |
| Qwen 3.5 9B | 23tok/sQ6_K | 24tok/sQ8_0 |
| DeepSeek R1 0528 Qwen3 8B | offload | 19tok/sQ4_K_M |
| Qwen3 8B | offload | 19tok/sQ4_K_M |
| Qwen 3.5 4B | 33tok/sQ8_0 | 42tok/sQ8_0 |
| Ministral 3 8B | offload | 18tok/sQ5_K_M |
| Gemma 4 E4B | 22tok/sQ8_0 | 28tok/sQ8_0 |
| LFM2.5 8B-A1B | 33tok/sUD-Q6_K | 39tok/sQ8_0 |
| Llama 3.1 8B | offload | 18tok/sQ6_K |
| Qwen 3.8 27B | offload | offload |
| Qwen 3.6 27B | offload | offload |
| Gemma 4 31B | offload | offload |
| Mistral Small 4 119B | won't run | 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 |
| 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 |
| Granite 4.2 8B | 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 |
| 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 |
Questions
- Which is better for local AI, the NVIDIA GeForce RTX 3060 12GB or the NVIDIA GeForce RTX 5060 Ti 16GB?
- Choose the NVIDIA GeForce RTX 5060 Ti 16GB to run bigger models. Choose the NVIDIA GeForce RTX 5060 Ti 16GB for speed.
- Which can run bigger models, the NVIDIA GeForce RTX 3060 12GB or the NVIDIA GeForce RTX 5060 Ti 16GB?
- At 64k context the NVIDIA GeForce RTX 5060 Ti 16GB runs 10 of the models we track fully in memory and the NVIDIA GeForce RTX 3060 12GB 5; only the NVIDIA GeForce RTX 5060 Ti 16GB holds gpt-oss 20B.
- Which is faster for local AI, the NVIDIA GeForce RTX 3060 12GB or the NVIDIA GeForce RTX 5060 Ti 16GB?
- On the models both run fully in memory, the NVIDIA GeForce RTX 5060 Ti 16GB is about 1.2× as fast as the NVIDIA GeForce RTX 3060 12GB (estimated, median across models).
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