NVIDIA GeForce RTX 5060 vs NVIDIA GeForce RTX 5060 Ti 16GB
For running models locally, priced in Germany. At 128k context the first runs 5 models fully in memory, the second 23.
In short
The NVIDIA GeForce RTX 5060 Ti 16GB has more memory for models: 16 GB against 8 GB. At 128k context the NVIDIA GeForce RTX 5060 Ti 16GB runs 23 of the models we track fully in memory and the NVIDIA GeForce RTX 5060 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 and the NVIDIA GeForce RTX 5060 Ti 16GB are about as fast as each other (estimated). In Germany the NVIDIA GeForce RTX 5060 costs 449 € at eBay and the NVIDIA GeForce RTX 5060 Ti 16GB 473 € at Amazon: the NVIDIA GeForce RTX 5060 is 24 € cheaper.
Updated . Speeds are estimates; how they are worked out.
Specifications
| Spec | NVIDIA GeForce RTX 5060 | NVIDIA GeForce RTX 5060 Ti 16GB |
|---|---|---|
| GPU | GeForce RTX 5060 | GeForce RTX 5060 Ti 16GB |
| Memory | 8 GB GDDR7 | 16 GB GDDR7 |
| Memory bus | 128-bit | 128-bit |
| Memory bandwidth | 448 GB/s | 448 GB/s |
| FP16 compute | 19.177 TFLOPS | 47 TFLOPS |
| Software | CUDA | CUDA |
| Board power | 145 W | 180 W |
| PCIe generation | Gen 5 | Gen 5 |
| PCIe lanes | x8 | x8 |
What each runs
Estimated decode speed with the most precise quant that fits each one est.
| Model | NVIDIA GeForce RTX 5060 | NVIDIA GeForce RTX 5060 Ti 16GB |
|---|---|---|
| gpt-oss 20B | offload | 30tok/sQ4_K_M |
| Gemma 4 12B | offload | 23tok/sQ6_K |
| Qwen 3.5 9B | offload | 20tok/sQ8_0 |
| Qwen 3.5 4B | offload | 32tok/sQ8_0 |
| Gemma 4 E4B | offload | 23tok/sQ8_0 |
| LFM2.5 8B-A1B | offload | 23tok/sUD-Q6_K |
| Qwen2.5 0.5B | 130tok/sQ8_0 | 130tok/sQ8_0 |
| Qwen3.5 0.8B | 114tok/sQ8_0 | 114tok/sQ8_0 |
| Qwen3.5 2B | 91tok/sQ5_K_M | 91tok/sQ5_K_M |
| LFM3 1.7B | 80tok/sQ8_0 | 80tok/sQ8_0 |
| DeepSeek R1 Distill Qwen 1.5B | 49tok/sQ8_0 | 49tok/sQ8_0 |
| FrogNano 4B 2609 | offload | 31tok/sQ8_0 |
| MiniCPM5 2B | offload | 33tok/sQ8_0 |
| Spark X2.5 4B | offload | 35tok/smlx-4bit |
| Mellum2.1 12B A2.5B Thinking | offload | 36tok/sQ8_0 |
| LFM2.5 2.6B | offload | 25tok/sQ8_0 |
| LFM2.5 VL 3B | offload | 25tok/sQ8_0 |
| GLM 4.6V Flash | offload | 24tok/sQ4_K_M |
| Kimi VL A3B Thinking 2506 | offload | 28tok/sQ4_K_M |
| DeepSeek R1 Distill Qwen 7B | offload | 20tok/sQ6_K |
| GLM 4 9B 0414 | offload | 20tok/smlx-5bit |
| granite vision 4.1 4b | offload | 19tok/sQ8_0 |
| granite 4.2 3b | offload | 19tok/sQ8_0 |
| 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 | won't run | offload |
| Nemotron 3.5 Lightning 30B-A3B | offload | offload |
| Kimi Linear 48B-A3B | offload | offload |
| Qwen3 Coder 30B-A3B | offload | offload |
| Gemma 3 27B | offload | offload |
| Mistral Small 3.2 24B | won't run | offload |
| Ministral 3 14B | offload | offload |
| Qwen3 14B | offload | offload |
| DeepSeek R1 0528 Qwen3 8B | offload | offload |
| Qwen3 8B | offload | offload |
| Phi-4 14B | won't run | offload |
| Ministral 3 8B | offload | offload |
| Granite 4.2 8B | offload | offload |
| Llama 3.1 8B | offload | offload |
| Kimi VL A3B | offload | offload |
| Ministral 3 3B Instruct 2512 | offload | offload |
| GLM 4.1V 9B Thinking | offload | offload |
| Muse Glimmer 30B | offload | offload |
| LFM2.5 24B A2B | offload | offload |
| DeepSeek R1 Distill Llama 8B | offload | offload |
| Ministral 3 8B Reasoning 2512 | offload | offload |
| Ministral 3 14B Reasoning 2512 | offload | offload |
| Qwen3.8 27B OBLITERATED | offload | offload |
| DeepSeek R1 Distill Qwen 14B | won't run | offload |
| Devstral Small 2507 | won't run | offload |
| Magistral Small 2506 | won't run | offload |
| Magistral Small 2507 | won't run | offload |
| Magistral Small 2509 | won't run | 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 |
| Qwen3 32B | won't run | won't run |
| DeepSeek R1 Distill Qwen 32B | 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 | 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 4.5 | 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 | 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 |
| granite 4.2 30b | won't run | won't run |
Questions
- Which is better for local AI, the NVIDIA GeForce RTX 5060 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 to spend less.
- Which can run bigger models, the NVIDIA GeForce RTX 5060 or the NVIDIA GeForce RTX 5060 Ti 16GB?
- At 128k context the NVIDIA GeForce RTX 5060 Ti 16GB runs 23 of the models we track fully in memory and the NVIDIA GeForce RTX 5060 5; only the NVIDIA GeForce RTX 5060 Ti 16GB holds gpt-oss 20B.
- Which is faster for local AI, the NVIDIA GeForce RTX 5060 or the NVIDIA GeForce RTX 5060 Ti 16GB?
- On the models both run fully in memory, the NVIDIA GeForce RTX 5060 and the NVIDIA GeForce RTX 5060 Ti 16GB are about as fast as each other (estimated).
- What is the price difference between the NVIDIA GeForce RTX 5060 and the NVIDIA GeForce RTX 5060 Ti 16GB?
- In Germany the NVIDIA GeForce RTX 5060 costs 449 € at eBay and the NVIDIA GeForce RTX 5060 Ti 16GB 473 € at Amazon: the NVIDIA GeForce RTX 5060 is 24 € cheaper.
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