NVIDIA RTX 5060 Ti 16GB vs NVIDIA V100 32GB for local LLMs
67 reports on the NVIDIA RTX 5060 Ti 16GB and 27 on the NVIDIA V100 32GB
Which is faster for local LLMs?
On Qwen3.6 27B at 4-bit, the NVIDIA RTX 5060 Ti 16GB has 22.0 generation tokens/s (one run); prompt processing 760.0 tokens/s (one run); the NVIDIA V100 32GB has 32.2 generation 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 2.0x higher on the NVIDIA V100 32GB (448 GB/s on the NVIDIA RTX 5060 Ti 16GB, 900 on the NVIDIA V100 32GB).
- Memory
- 16GB
- Memory bandwidth
- 448 GB/s
- FP16 compute
- 95 TFLOPS
- Reports
- 67
- Memory
- 32GB
- Memory bandwidth
- 900 GB/s
- FP16 compute
- 125 TFLOPS
- Reports
- 27
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
| Model | NVIDIA RTX 5060 Ti 16GB | NVIDIA V100 32GB |
|---|---|---|
| Qwen3.6 27B4-bit | 22.0one runPP 760.0 (one run)llama.cpp75K context | 32.2one runllama.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.
| Model | NVIDIA RTX 5060 Ti 16GB | NVIDIA V100 32GB |
|---|---|---|
| Qwen3.6 27B | 29.2 t/sQ2_K | 22.6 t/sQ6_K |
| Qwen3.8 27B | 29.2 t/sQ2_K | 22.6 t/sQ6_K |
| Qwen3.8 125B · 6B active | doesn't fit at these settings | 19.4 t/sQ2_K, experts in RAM |
| Qwen3.6 35B · 3B active | 96.6 t/sQ2_K | 81.9 t/sQ5_K_M |
| DeepSeek V4 Flash 284B · 13B active | doesn't fit at these settings | doesn't fit at these settings |
| Gemma 4 26B · 4B active | 65.1 t/sQ3_K_S | 57.5 t/sQ6_K |
| GLM-5.3 320B · 18B active | doesn't fit at these settings | doesn't fit at these settings |
Change the context, RAM or model in the calculator: NVIDIA RTX 5060 Ti 16GB · NVIDIA V100 32GB
Every report on each card, with its source: NVIDIA RTX 5060 Ti 16GB · NVIDIA V100 32GB