Side-by-side simulation · recommended settings
RTX 5070 Ti vs RTX 5080: How do two 16GB GPUs compare for LLMs?
Both have the same VRAM capacity. Paying more for the 5080 is about reducing input processing and answer time for models that already fit, rather than loading larger models.
Choose devices and a model
Expand comparison settings
Same 117output tokens. Only evidence-qualified acceleration is selected automatically; runtime formats are shown on each device.
Left
ReadyRTX 5070 Ti 16GB
Press Start above to generate the same answer on both devices.
Right
ReadyRTX 5080 16GB
Press Start above to generate the same answer on both devices.
With these settings, RTX 5080 16GB finishes the full answer About 1.1× faster.
Compare from input processing to completion of 117 token response.
Which one fits my needs?
Answer completion
RTX 5080 16GB
At the estimate midpoint, it finishes the same answer about 1.1× faster.
Prompt processing
RTX 5080 16GB
The estimated input-processing midpoint is higher at 2,148 tok/s.
Image and video generation
Check the media model
LLM speed does not tell you media-generation performance. Choose the image or video model and resolution separately.
Runtime
Settings for your hardware
Strata · Blackwell (CC 12.0) · CUDA · MTP · NVMe PLE · single GPU / Strata · Blackwell (CC 12.0) · CUDA · MTP · NVMe PLE · single GPU. When runtime paths differ, the speed gap also includes software and model-format differences.
Estimated power draw
RTX 5070 Ti 16GB
Estimated LLM power draw is lower at about 310 W. Noise and physical size need a separate check.
Local pricing
RTX 5080 16GB costs about 53 × KRW 10,000 more at the reference-price midpoint, with an estimated answer time about 6% shorter.
Before choosing hardware
| Measure | RTX 5070 Ti 16GB | RTX 5080 16GB |
|---|---|---|
| Available fast memory | 15GB | 15GB |
| Memory bandwidth | 896GB/s | 960GB/s |
| Estimated total time | 3.3 s | 3.1 s |
| Estimated sustained LLM load | About 310W | About 352W |
| Korean price range (KRW) | 179–185 × KRW 10,000 | 231–239 × KRW 10,000 |
Estimated ranges for one user. Multi-GPU and multi-device results depend on the runtime and interconnect.
Choose the model you will use within 16GB
If a model and its KV cache exceed the 5070 Ti's capacity, the 5080 keeps the same total VRAM. You still need a smaller quantization or shorter context. If the model fits comfortably, compare prefill and generation next. Choosing the model first keeps a higher product tier from becoming the only reason to spend more.
Separate first response from completion
For document summaries, use full mode with a long input. For a short prompt that generates long code, decode mode is a more direct comparison. Measure the wait saved by the 5080 at your workload length, then consider the current price ranges.
Tune an existing 5070 Ti before replacing it
If you own a 5070 Ti, first match the recommended engine and quantized file shown here. Keeping an old setup can miss improvements from newer runtimes on the same GPU. If repeated waits remain disruptive after tuning, compare a 5080 or a card with more memory.