Side-by-side simulation · recommended settings
RTX 4070 Ti SUPER vs RTX 5070 Ti: What changes for local LLMs?
Both have 16GB, so the upgrade concerns speed and runtime paths. If you own a 4070 Ti SUPER, try its latest supported setup before weighing the extra cost of a 5070 Ti.
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 4070 Ti SUPER 16GB
Press Start above to generate the same answer on both devices.
Right
ReadyRTX 5070 Ti 16GB
Press Start above to generate the same answer on both devices.
With these settings, RTX 5070 Ti 16GB finishes the full answer About 1.2× faster.
Compare from input processing to completion of 117 token response.
Which one fits my needs?
Answer completion
RTX 5070 Ti 16GB
At the estimate midpoint, it finishes the same answer about 1.2× faster.
Prompt processing
RTX 5070 Ti 16GB
The estimated input-processing midpoint is higher at 2,005 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 · Ada Lovelace (CC 8.9) · 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 4070 Ti SUPER 16GB
Estimated LLM power draw is lower at about 300 W. Noise and physical size need a separate check.
Local pricing
There is equipment whose price is undetermined so costs cannot be compared.
Before choosing hardware
| Measure | RTX 4070 Ti SUPER 16GB | RTX 5070 Ti 16GB |
|---|---|---|
| Available fast memory | 15GB | 15GB |
| Memory bandwidth | 672GB/s | 896GB/s |
| Estimated total time | 3.9 s | 3.3 s |
| Estimated sustained LLM load | about 300W | About 310W |
| Korean price range (KRW) | Price unavailable | 179–185 × KRW 10,000 |
Estimated ranges for one user. Multi-GPU and multi-device results depend on the runtime and interconnect.
Start with the same model capacity
Changing chip generation here does not increase total VRAM. Start with a model file and conversation that fit within 16GB. Compare a short question on your usual model, then use a long document to inspect the first-response difference.
Account for switching runtimes
A new recommended path may require another model file and a server-address change if it differs from your app. Check the runtime label and guide to see how your chat app connects. Keeping the workflow you use most makes a speed improvement easier to carry into daily work.
Separate buying new from replacing an owned card
For a first PC, compare current prices alongside power and cooling requirements. If you own a 4070 Ti SUPER, weigh a new card's cost against the wait it saves now. The same performance difference has different value to a first-time buyer and an existing owner.