Compare · GPUs
RTX 4060 Ti vs RTX 5060 Ti for local LLMs
Both fit the same 21 models, but the RTX 5060 Ti generates about 56% faster thanks to 448 GB/s of memory bandwidth versus 288 GB/s.
Both fit the same 21 models, but the RTX 5060 Ti generates about 56% faster thanks to 448 GB/s of memory bandwidth versus 288 GB/s.
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 4060 Ti | RTX 5060 Ti |
|---|---|---|
| Qwen3 0.6B | Runs~290 tok/sQ8_0 | Runs~460 tok/sQ8_0 |
| Gemma 3 1B | Runs~180 tok/sQ8_0 | Runs~270 tok/sQ8_0 |
| Llama 3.2 1B | Runs~150 tok/sQ8_0 | Runs~230 tok/sQ8_0 |
| Llama 3.2 3B | Runs~55 tok/sQ8_0 | Runs~86 tok/sQ8_0 |
| Phi-4 Mini 3.8B | Runs~47 tok/sQ8_0 | Runs~72 tok/sQ8_0 |
| Qwen3 4B | Runs~44 tok/sQ8_0 | Runs~69 tok/sQ8_0 |
| Gemma 3 4B | Runs~41 tok/sQ8_0 | Runs~64 tok/sQ8_0 |
| Qwen3.5 4B | Runs~38 tok/sQ8_0 | Runs~59 tok/sQ8_0 |
| Mistral 7B v0.3 | Runs~25 tok/sQ8_0 | Runs~38 tok/sQ8_0 |
| Qwen2.5-Coder 7B | Runs~23 tok/sQ8_0 | Runs~36 tok/sQ8_0 |
| Llama 3.1 8B | Runs~22 tok/sQ8_0 | Runs~34 tok/sQ8_0 |
| DeepSeek-R1 Distill 8B | Runs~22 tok/sQ8_0 | Runs~34 tok/sQ8_0 |
| Qwen3 8B | Runs~22 tok/sQ8_0 | Runs~34 tok/sQ8_0 |
| Qwen3.5 9B | Runs~19 tok/sQ8_0 | Runs~29 tok/sQ8_0 |
| Gemma 4 12B | Runs~19 tok/sQ6_K | Runs~30 tok/sQ6_K |
| Gemma 3 12B | Runs~19 tok/sQ6_K | Runs~29 tok/sQ6_K |
| Mistral Nemo 12B | Runs~19 tok/sQ6_K | Runs~29 tok/sQ6_K |
| Phi-4 14B | Runs~18 tok/sQ5_K_M | Runs~28 tok/sQ5_K_M |
| Qwen3 14B | Runs~18 tok/sQ5_K_M | Runs~28 tok/sQ5_K_M |
| DeepSeek-R1 Distill 14B | Runs~18 tok/sQ5_K_M | Runs~28 tok/sQ5_K_M |
| gpt-oss 20B | Runs~39 tok/sQ4_K_M | Runs~60 tok/sQ4_K_M |
| Codestral 22B | Offload~2.2 tok/sQ4_K_M | Offload~3.3 tok/sQ4_K_M |
| Mistral Small 3 24B | Offload~2.1 tok/sQ4_K_M | Offload~3.0 tok/sQ4_K_M |
| Devstral Small 24B | Offload~2.1 tok/sQ4_K_M | Offload~3.0 tok/sQ4_K_M |
| Gemma 4 26B-A4B (MoE) | Offload~6.7 tok/sQ4_K_M | Offload~8.8 tok/sQ4_K_M |
| Gemma 3 27B | Offload~1.9 tok/sQ4_K_M | Offload~2.5 tok/sQ4_K_M |
| Qwen3.6 27B | Offload~1.8 tok/sQ4_K_M | Offload~2.6 tok/sQ4_K_M |
| Qwen3 30B-A3B (MoE) | Offload~7.9 tok/sQ4_K_M | Offload~10 tok/sQ4_K_M |
| Qwen3-Coder 30B-A3B | Offload~7.9 tok/sQ4_K_M | Offload~10 tok/sQ4_K_M |
| Gemma 4 31B | Offload~1.7 tok/sQ4_K_M | Offload~2.2 tok/sQ4_K_M |
| Qwen3 32B | Offload~1.6 tok/sQ4_K_M | Offload~2.1 tok/sQ4_K_M |
| DeepSeek-R1 Distill 32B | Offload~1.6 tok/sQ4_K_M | Offload~2.1 tok/sQ4_K_M |
| Qwen2.5-Coder 32B | Offload~1.6 tok/sQ4_K_M | Offload~2.1 tok/sQ4_K_M |
| Qwen3.6 35B-A3B (MoE) | Offload~8.8 tok/sQ4_K_M | Offload~11 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. Both fit the same 21 models, but the RTX 5060 Ti generates about 56% faster thanks to 448 GB/s of memory bandwidth versus 288 GB/s.
See every result on its own page: RTX 4060 Ti and RTX 5060 Ti.
Questions
Is the RTX 4060 Ti or the RTX 5060 Ti better for running LLMs?
The RTX 5060 Ti is the better card for local AI. Both fit the same 21 models, but the RTX 5060 Ti generates about 56% faster thanks to 448 GB/s of memory bandwidth versus 288 GB/s.
Which models can the RTX 4060 Ti run that the RTX 5060 Ti can't?
None. Both cards fit the same models; the difference is speed.
Does the RTX 4060 Ti or RTX 5060 Ti 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.