Compare · GPUs
RTX 5060 Ti vs RTX 5070 for local LLMs
It runs 21 of 39 models fully in memory, against 16 for the RTX 5070, thanks to 16 GB of VRAM versus 12 GB. The RTX 5070 is about 59% faster on the models both can hold, so it only wins if you stick to small models.
It runs 21 of 39 models fully in memory, against 16 for the RTX 5070, thanks to 16 GB of VRAM versus 12 GB. The RTX 5070 is about 59% faster on the models both can hold, so it only wins if you stick to small models.
Every model at 8K context with the best quantization that fits. Offload assumes 32 GB of system RAM. Green marks the better result. Rows where the two differ come first.
| Model | RTX 5060 Ti | RTX 5070 |
|---|---|---|
| Gemma 3 12B | Runs~29 tok/sQ6_K | Offload~9.1 tok/sQ4_K_M |
| Phi-4 14B | Runs~28 tok/sQ5_K_M | Offload~7.5 tok/sQ4_K_M |
| Qwen3 14B | Runs~28 tok/sQ5_K_M | Offload~7.5 tok/sQ4_K_M |
| DeepSeek-R1 Distill 14B | Runs~28 tok/sQ5_K_M | Offload~7.5 tok/sQ4_K_M |
| gpt-oss 20B | Runs~60 tok/sQ4_K_M | Offload~13 tok/sQ4_K_M |
| Qwen3 0.6B | Runs~460 tok/sQ8_0 | Runs~690 tok/sQ8_0 |
| Gemma 3 1B | Runs~270 tok/sQ8_0 | Runs~410 tok/sQ8_0 |
| Llama 3.2 1B | Runs~230 tok/sQ8_0 | Runs~340 tok/sQ8_0 |
| Llama 3.2 3B | Runs~86 tok/sQ8_0 | Runs~130 tok/sQ8_0 |
| Phi-4 Mini 3.8B | Runs~72 tok/sQ8_0 | Runs~110 tok/sQ8_0 |
| Qwen3 4B | Runs~69 tok/sQ8_0 | Runs~100 tok/sQ8_0 |
| Gemma 3 4B | Runs~64 tok/sQ8_0 | Runs~96 tok/sQ8_0 |
| Qwen3.5 4B | Runs~59 tok/sQ8_0 | Runs~88 tok/sQ8_0 |
| Mistral 7B v0.3 | Runs~38 tok/sQ8_0 | Runs~57 tok/sQ8_0 |
| Qwen2.5-Coder 7B | Runs~36 tok/sQ8_0 | Runs~54 tok/sQ8_0 |
| Llama 3.1 8B | Runs~34 tok/sQ8_0 | Runs~52 tok/sQ8_0 |
| DeepSeek-R1 Distill 8B | Runs~34 tok/sQ8_0 | Runs~52 tok/sQ8_0 |
| Qwen3 8B | Runs~34 tok/sQ8_0 | Runs~50 tok/sQ8_0 |
| Qwen3.5 9B | Runs~29 tok/sQ8_0 | Runs~57 tok/sQ6_K |
| Gemma 4 12B | Runs~30 tok/sQ6_K | Runs~62 tok/sQ4_K_M |
| Mistral Nemo 12B | Runs~29 tok/sQ6_K | Runs~61 tok/sQ4_K_M |
| Codestral 22B | Offload~3.3 tok/sQ4_K_M | Offload~4.2 tok/sQ4_K_M |
| Mistral Small 3 24B | Offload~3.0 tok/sQ4_K_M | Offload~3.8 tok/sQ4_K_M |
| Devstral Small 24B | Offload~3.0 tok/sQ4_K_M | Offload~3.8 tok/sQ4_K_M |
| Gemma 4 26B-A4B (MoE) | Offload~8.8 tok/sQ4_K_M | Offload~12 tok/sQ4_K_M |
| Gemma 3 27B | Offload~2.5 tok/sQ4_K_M | Offload~3.1 tok/sQ4_K_M |
| Qwen3.6 27B | Offload~2.6 tok/sQ4_K_M | Offload~3.2 tok/sQ4_K_M |
| Qwen3 30B-A3B (MoE) | Offload~10 tok/sQ4_K_M | Offload~13 tok/sQ4_K_M |
| Qwen3-Coder 30B-A3B | Offload~10 tok/sQ4_K_M | Offload~13 tok/sQ4_K_M |
| Gemma 4 31B | Offload~2.2 tok/sQ4_K_M | Offload~2.6 tok/sQ4_K_M |
| Qwen3 32B | Offload~2.1 tok/sQ4_K_M | Offload~2.5 tok/sQ4_K_M |
| DeepSeek-R1 Distill 32B | Offload~2.1 tok/sQ4_K_M | Offload~2.5 tok/sQ4_K_M |
| Qwen2.5-Coder 32B | Offload~2.1 tok/sQ4_K_M | Offload~2.5 tok/sQ4_K_M |
| Qwen3.6 35B-A3B (MoE) | Offload~11 tok/sQ4_K_M | Offload~14 tok/sQ4_K_M |
| Llama 3.3 70B | Won’t fit | Won’t fit |
| DeepSeek-R1 Distill 70B | Won’t fit | Won’t fit |
| Llama 4 Scout 109B-A17B | Won’t fit | Won’t fit |
| gpt-oss 120B | Won’t fit | Won’t fit |
| Qwen3 235B-A22B (MoE) | Won’t fit | Won’t fit |
Which should you buy?
The RTX 5060 Ti is the better card for local AI. It runs 21 of 39 models fully in memory, against 16 for the RTX 5070, thanks to 16 GB of VRAM versus 12 GB. The RTX 5070 is about 59% faster on the models both can hold, so it only wins if you stick to small models.
Only the RTX 5060 Ti fits Gemma 3 12B, Phi-4 14B, Qwen3 14B, DeepSeek-R1 Distill 14B and gpt-oss 20B fully in memory.
See every result on its own page: RTX 5060 Ti and RTX 5070.
Questions
Is the RTX 5060 Ti or the RTX 5070 better for running LLMs?
The RTX 5060 Ti is the better card for local AI. It runs 21 of 39 models fully in memory, against 16 for the RTX 5070, thanks to 16 GB of VRAM versus 12 GB. The RTX 5070 is about 59% faster on the models both can hold, so it only wins if you stick to small models.
Which models can the RTX 5060 Ti run that the RTX 5070 can't?
At 8K context, only the RTX 5060 Ti holds Gemma 3 12B, Phi-4 14B, Qwen3 14B, DeepSeek-R1 Distill 14B and gpt-oss 20B fully in VRAM.
Does the RTX 5060 Ti or RTX 5070 need anything else to run local AI?
Only the software. Install Ollama or LM Studio, pick a model that fits in VRAM, and it runs on the GPU. 32 GB of system RAM helps when a model spills over, but that path is much slower.
More comparisons
Estimates from memory size and bandwidth at 8K context. Real speed varies with software, drivers and settings.