NVIDIA RTX 5060 Ti (16GB) vs RTX 4060 Ti (16GB) for Local LLMs & ComfyUI
NVIDIA GeForce RTX 5060 Ti (16GB)
NVIDIA GeForce RTX 4060 Ti (16GB)
Popular AI Models Compatibility Matrix
| Model & Quantization | VRAM Demand | NVIDIA GeForce RTX 5060 Ti | NVIDIA GeForce RTX 4060 Ti |
|---|---|---|---|
| OpenAI gpt-oss 20B MoE (Q4_K_M) | 14.0 GB | Runs Comfortably (~85 tok/s) | Runs Comfortably (~54 tok/s) |
| Qwen 2.5 14B Instruct (Q4_K_M) | 10.9 GB | Runs Comfortably (~31 tok/s) | Runs Comfortably (~20 tok/s) |
| Tencent HunyuanVideo 13B (Q4_K_M) | 14.6 GB | Tight Fit (+1.4GB, FP8/FP4) | Tight Fit (+1.4GB, Slow) |
| FLUX.1 [dev] NF4 / FP4 | 12.0 GB | Runs Comfortably (+4.0GB) | Runs Comfortably (+4.0GB) |
Silicon Architecture, Bandwidth & Thermal Realities
The Ada Lovelace AD106-based RTX 4060 Ti 16GB was notorious among local AI builders: despite having 16GB of clamshell GDDR6, its 128-bit memory controller topped out at 288 GB/s—slower than even the older $280 RTX 3060 12GB (360 GB/s). NVIDIA's GB206 die on the RTX 5060 Ti 16GB keeps the compact 180W 128-bit board footprint but pairs it with PAM3-signaling 28 Gbps GDDR7 modules to hit 448 GB/s. Furthermore, GB206 introduces 5th-Generation Tensor Cores with native microscaling FP4 (`NVFP4`/`MXFP4`) execution and PCIe 5.0 x8 host connectivity, doubling ComfyUI diffusion step throughput when running quantized FP4/FP8 DiT checkpoints like FLUX.1 [dev] and Wan 2.1.
If you already own an RTX 4060 Ti 16GB and feel bottlenecked by its 288 GB/s bus on dense 14B models, switch to sparse Mixture-of-Experts models like `OpenAI gpt-oss-20b` (`14.01 GB` total, only 3.6B active per token) to jump from 20 tok/s to 54 tok/s immediately.
Buy Local GPUs on Amazon
Zero monthly subscriptions, 100% private inference, and unmetered tokens for your homelab or workstation.
Rent Cloud GPUs on RunPod & Vast.ai
Skip the upfront hardware expense. Spin up secure cloud instances from $0.35/hr on Vast.ai or $0.79/hr on RunPod.
Frequently Asked Questions
Why does the RTX 5060 Ti 16GB generate tokens 55% faster than the RTX 4060 Ti 16GB?
LLM token decoding reads all active model weights from VRAM for every single token. Moving from 18 Gbps GDDR6 (288 GB/s) to 28 Gbps GDDR7 (448 GB/s) removes the starvation bottleneck that plagued the 4060 Ti.
How much faster is RTX 5060 Ti 16GB in ComfyUI FLUX and HunyuanVideo?
Using native Blackwell FP8 and NVFP4 Tensor Core nodes in ComfyUI, the RTX 5060 Ti 16GB renders 1024x1024 FLUX.1 [dev] images and HunyuanVideo 13B clips 35%–60% faster than the Ada 4060 Ti 16GB.
Calculate Custom Context Windows & Precision
Inspect exact KV-cache formulas, test 32k/128k context allocations, or compare cloud rental break-even costs in the interactive matchmaker.
Launch Interactive Showdown Calculator →