NVIDIA GeForce RTX 3080 10GB vs NVIDIA GeForce RTX 5060 Ti 8GB
For running models locally, priced in Canada. At 128k context the first runs 9 models fully in memory, the second 5.
In short
The NVIDIA GeForce RTX 3080 10GB has more memory for models: 10 GB against 8 GB. At 128k context the NVIDIA GeForce RTX 3080 10GB runs 9 of the models we track fully in memory and the NVIDIA GeForce RTX 5060 Ti 8GB 5; only the NVIDIA GeForce RTX 3080 10GB holds Qwen 3.5 4B. On the models both run fully in memory, the NVIDIA GeForce RTX 3080 10GB is about 1.7× as fast as the NVIDIA GeForce RTX 5060 Ti 8GB (estimated, median across models). In Canada the NVIDIA GeForce RTX 3080 10GB costs $769 at Amazon and the NVIDIA GeForce RTX 5060 Ti 8GB $732 at Amazon: the NVIDIA GeForce RTX 5060 Ti 8GB is $37 cheaper.
Updated . Speeds are estimates; how they are worked out.
Specifications
| Spec | NVIDIA GeForce RTX 3080 10GB | NVIDIA GeForce RTX 5060 Ti 8GB |
|---|---|---|
| GPU | GeForce RTX 3080 10GB | GeForce RTX 5060 Ti 8GB |
| Memory | 10 GB GDDR6X | 8 GB GDDR7 |
| Memory bus | 320-bit | 128-bit |
| Memory bandwidth | 760 GB/s | 448 GB/s |
| FP16 compute | 59.5 TFLOPS | 23.704 TFLOPS |
| Software | CUDA | CUDA |
| Board power | 320 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 3080 10GB | NVIDIA GeForce RTX 5060 Ti 8GB |
|---|---|---|
| Qwen 3.5 4B | 60tok/sQ6_K | offload |
| Qwen2.5 0.5B | 220tok/sQ8_0 | 130tok/sQ8_0 |
| Qwen3.5 0.8B | 193tok/sQ8_0 | 114tok/sQ8_0 |
| Qwen3.5 2B | 154tok/sQ5_K_M | 91tok/sQ5_K_M |
| LFM3 1.7B | 136tok/sQ8_0 | 80tok/sQ8_0 |
| DeepSeek R1 Distill Qwen 1.5B | 83tok/sQ8_0 | 49tok/sQ8_0 |
| Spark X2.5 4B | 59tok/smlx-4bit | offload |
| FrogNano 4B 2609 | 58tok/sQ6_K | offload |
| MiniCPM5 2B | 57tok/sQ8_0 | 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 | won't run |
| Nemotron 3.5 Lightning 30B-A3B | offload | offload |
| Kimi Linear 48B-A3B | offload | offload |
| gpt-oss 20B | offload | offload |
| Qwen3 Coder 30B-A3B | offload | offload |
| Gemma 4 12B | offload | offload |
| Qwen 3.5 9B | offload | offload |
| Gemma 3 27B | offload | offload |
| Mistral Small 3.2 24B | offload | won't run |
| Ministral 3 14B | offload | offload |
| Qwen3 14B | offload | offload |
| DeepSeek R1 0528 Qwen3 8B | offload | offload |
| Qwen3 8B | offload | offload |
| Phi-4 14B | offload | won't run |
| Ministral 3 8B | offload | offload |
| Granite 4.2 8B | offload | offload |
| Gemma 4 E4B | offload | offload |
| LFM2.5 8B-A1B | offload | offload |
| Llama 3.1 8B | offload | offload |
| Mellum2.1 12B A2.5B Thinking | offload | offload |
| LFM2.5 2.6B | offload | offload |
| LFM2.5 VL 3B | offload | offload |
| GLM 4.6V Flash | offload | offload |
| DeepSeek R1 Distill Qwen 7B | offload | offload |
| Kimi VL A3B Thinking 2506 | offload | offload |
| GLM 4 9B 0414 | offload | offload |
| granite vision 4.1 4b | offload | offload |
| Kimi VL A3B | offload | offload |
| granite 4.2 3b | 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 |
| Qwen3.8 27B OBLITERATED | offload | offload |
| Ministral 3 14B Reasoning 2512 | offload | offload |
| DeepSeek R1 Distill Qwen 14B | offload | won't run |
| Devstral Small 2507 | offload | won't run |
| Magistral Small 2506 | offload | won't run |
| Magistral Small 2507 | offload | won't run |
| Magistral Small 2509 | offload | won't run |
| 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 3080 10GB or the NVIDIA GeForce RTX 5060 Ti 8GB?
- Choose the NVIDIA GeForce RTX 3080 10GB to run bigger models. Choose the NVIDIA GeForce RTX 3080 10GB for speed. Choose the NVIDIA GeForce RTX 5060 Ti 8GB to spend less.
- Which can run bigger models, the NVIDIA GeForce RTX 3080 10GB or the NVIDIA GeForce RTX 5060 Ti 8GB?
- At 128k context the NVIDIA GeForce RTX 3080 10GB runs 9 of the models we track fully in memory and the NVIDIA GeForce RTX 5060 Ti 8GB 5; only the NVIDIA GeForce RTX 3080 10GB holds Qwen 3.5 4B.
- Which is faster for local AI, the NVIDIA GeForce RTX 3080 10GB or the NVIDIA GeForce RTX 5060 Ti 8GB?
- On the models both run fully in memory, the NVIDIA GeForce RTX 3080 10GB is about 1.7× as fast as the NVIDIA GeForce RTX 5060 Ti 8GB (estimated, median across models).
- What is the price difference between the NVIDIA GeForce RTX 3080 10GB and the NVIDIA GeForce RTX 5060 Ti 8GB?
- In Canada the NVIDIA GeForce RTX 3080 10GB costs $769 at Amazon and the NVIDIA GeForce RTX 5060 Ti 8GB $732 at Amazon: the NVIDIA GeForce RTX 5060 Ti 8GB is $37 cheaper.
More comparisons
- NVIDIA GeForce RTX 3080 10GB vs NVIDIA GeForce RTX 4080 Super
- NVIDIA GeForce RTX 3080 10GB vs NVIDIA GeForce RTX 5070
- NVIDIA GeForce RTX 3080 10GB vs AMD Radeon RX 7800 XT
- NVIDIA GeForce RTX 4070 Super vs NVIDIA GeForce RTX 5060 Ti 8GB
- NVIDIA GeForce RTX 5050 vs NVIDIA GeForce RTX 5060 Ti 8GB
- NVIDIA GeForce RTX 5060 vs NVIDIA GeForce RTX 5060 Ti 8GB
- NVIDIA GeForce RTX 5060 Ti 8GB vs AMD Radeon RX 7800 XT