llamaperf

NVIDIA RTX 5060 Ti 16GB vs NVIDIA RTX 5090 for local LLMs

72 reports on the NVIDIA RTX 5060 Ti 16GB and 170 on the NVIDIA RTX 5090

Which is faster for local LLMs?

On Gemma 4 26B · 4B active at 4-bit, the NVIDIA RTX 5060 Ti 16GB has 95.2 generation tokens/s (one run); prompt processing 3476.0 tokens/s (one run); the NVIDIA RTX 5090 has 243.9 generation tokens/s (one run); prompt processing 13809.2 tokens/s (one run). Those are community reports whose engines and settings differ, so the gap is a rough sign, not a controlled measure of the two cards. Memory bandwidth, which caps how fast a card can write, is 4.0x higher on the NVIDIA RTX 5090 (448 GB/s on the NVIDIA RTX 5060 Ti 16GB, 1,792 on the NVIDIA RTX 5090).

NVIDIA RTX 5060 Ti 16GB
Memory
16GB
Memory bandwidth
448 GB/s
FP16 compute
95 TFLOPS
Reports
72
NVIDIA RTX 5090
Memory
32GB
Memory bandwidth
1,792 GB/s
FP16 compute
419 TFLOPS
Reports
170

Measured on both

Generation and prompt processing speeds from plain runs (one device, one request, no speculative decoding, the whole model in the device's memory) of the same model size at the same bit class. Each side shows the engines and reported context behind its median. Context can mean a configured window or prompt depth, so these are community comparisons with differing settings. How to read these

ModelNVIDIA RTX 5060 Ti 16GBNVIDIA RTX 5090
Gemma 4 26B · 4B active4-bit95.2one runPP 3476.0 (one run)llama.cpp64K context243.9one runPP 13809.2 (one run)llama.cppcontext not stated

Estimated by the calculator

The quant the calculator recommends for each card and its estimated speed at a 32,768-token context with 32 GB of system RAM, from memory bandwidth and the model's shape. Where a model was also measured above, the measurement wins.

ModelNVIDIA RTX 5060 Ti 16GBNVIDIA RTX 5090
Gemma 4 26B · 4B active65.1 t/sQ3_K_S114.5 t/sQ6_K
Qwen3.8 27B29.2 t/sQ2_K44.9 t/sQ6_K
Qwen3.8 125B · 6B activedoesn't fit at these settings20.3 t/sQ2_K, experts in RAM
Qwen3.6 35B · 3B active96.6 t/sQ2_K163.0 t/sQ5_K_M
DeepSeek V4 Flash 284B · 13B activedoesn't fit at these settingsdoesn't fit at these settings
Qwen3.6 27B29.2 t/sQ2_K44.9 t/sQ6_K
DeepSeek V4.1 Flash 552B · 16B activedoesn't fit at these settingsdoesn't fit at these settings

Change the context, RAM or model in the calculator: NVIDIA RTX 5060 Ti 16GB · NVIDIA RTX 5090

Every report on each card, with its source: NVIDIA RTX 5060 Ti 16GB · NVIDIA RTX 5090

More comparisons