RTX 5070 Ti vs RTX 4080 Super: Which GPU Is Better for AI?
For local AI workloads on a budget, the RTX 5070 Ti is the better buy at MSRP: it lists at $799 against $999 for the RTX 4080 Super, per NVIDIA's announced pricing, with the same 16 GB of VRAM and a lower 300 W board rating. How the two cards trade blows elsewhere is less clean: the RTX 4080 Super has higher tracked bandwidth, and our database holds no benchmark results for the RTX 5070 Ti. Best for price-sensitive 16 GB builds: RTX 5070 Ti. Best for buyers who want tracked benchmark data: RTX 4080 Super. Specs checked August 14, 2026.
How do the specifications compare?
Both GPUs offer 16 GB of VRAM, but the RTX 5070 Ti is one generation newer with GDDR7 and PCIe 5.0, while the RTX 4080 Super is the pricier, slightly thirstier Ada Lovelace card. The comparison below per NVIDIA's specification pages; two RTX 5070 Ti rows are not tracked in our specification database.
| Specification | GeForce RTX 5070 Ti | GeForce RTX 4080 Super |
|---|---|---|
| VRAM | 16 GB | 16 GB |
| Memory type | GDDR7 | GDDR6X |
| Memory bus | 256 bit | 256 bit |
| Memory bandwidth | Not tracked in our database | 736 GB/s |
| Total board power (TDP) | 300 W | 320 W |
| CUDA cores | Not tracked in our database | 10240 |
| MSRP | $799 | $999 |
| PCIe interface | PCIe 5.0 x16 | PCIe 4.0 x16 |
| Architecture | Blackwell | Ada Lovelace |
Which GPU has more VRAM?
Neither: both the RTX 5070 Ti and the RTX 4080 Super ship with 16 GB of VRAM, per NVIDIA's specifications. Capacity is a tie, so the choice hinges on price, power, and platform rather than on what fits.
Sixteen gigabytes runs Llama-3-8B at Q4 quantization with room to spare, and it handles SDXL-class image generation well. It does not hold 70B-class models in video memory; buyers with that requirement need a 24 GB or 32 GB card instead. Between these two GPUs, that ceiling is identical.
Which GPU has published AI benchmarks?
Only the RTX 4080 Super: our benchmark database tracks it at 165 tokens per second on Llama-3-8B at Q4 in llama.cpp and 58 SDXL Turbo images per minute in ComfyUI, according to TechPowerUp testing. The RTX 5070 Ti has no benchmark entries in our database, so we make no speed claim for it either way.
This is a real decision factor, not a formality. If you want guaranteed, source-attributed throughput numbers before spending, the RTX 4080 Super offers them and the RTX 5070 Ti does not. Where the RTX 5070 Ti is concrete — MSRP, board power, memory type, interface — it compares well; where it is untracked, we say so rather than guess. Buyers who need certainty about tokens per second or images per minute before checkout should treat this section as the heart of the comparison.
Which GPU costs less?
The RTX 5070 Ti, at launch MSRP: $799 versus $999 for the RTX 4080 Super, per NVIDIA's announced pricing. Street prices drift from MSRP in both directions, so check current price via the links below.
We do not compute performance-per-dollar ratios, and in this pairing that restraint matters doubly: without RTX 5070 Ti benchmarks in our database, any value ratio for it would be invented. Judge the price gap against your tolerance for untracked performance. For buyers who find both cards at MSRP, the RTX 5070 Ti keeps the difference in your pocket.
How much power does each GPU need?
The RTX 5070 Ti draws slightly less: 300 W total board power versus 320 W for the RTX 4080 Super, per NVIDIA's specifications. Both fit the same class of build, and neither demands flagship-tier cooling.
Sustained AI inference holds either card near its board rating for hours. A power supply with headroom above the rating and decent GPU airflow cover both cards comfortably; the 20 W difference is real but not decisive.
Which GPU has the newer platform?
The RTX 5070 Ti. It pairs the Blackwell architecture with GDDR7 memory and a PCIe 5.0 x16 interface; the RTX 4080 Super uses Ada Lovelace, GDDR6X, and PCIe 4.0 x16, per NVIDIA's specifications.
For single-GPU AI inference, the interface and memory generation matter less than capacity and bandwidth, and the RTX 5070 Ti's bandwidth figure is not tracked in our database. Treat the platform difference as a tiebreaker, not a primary reason to choose either card.
What software can both GPUs run?
Both run the NVIDIA software stack that AI tools target first, because both are GeForce GPUs with CUDA support. That removes the software-compatibility question that complicates cross-vendor comparisons: any tool that runs on the RTX 4080 Super runs on the RTX 5070 Ti.
The practical implication for buyers is that the decision reduces cleanly to price, power, and data. You are not trading software support for savings, as you would when comparing across vendors; you are trading tracked benchmark numbers and a higher MSRP for a lower one.
What are the disadvantages of each GPU?
The RTX 5070 Ti's disadvantage is missing data; the RTX 4080 Super's disadvantages are price and power. The specifics follow.
RTX 5070 Ti disadvantages:
- No benchmark entries in our database, so its LLM inference and image generation speeds are unverified here.
- Memory bandwidth and CUDA core count are not tracked in our specification database.
- Same 16 GB capacity as its pricier rival, so it does not unlock larger models.
RTX 4080 Super disadvantages:
- Higher MSRP: $999 versus $799, per NVIDIA's announced pricing.
- Higher board power: 320 W versus 300 W, per NVIDIA's specifications.
- Older platform: PCIe 4.0 x16 and GDDR6X versus PCIe 5.0 x16 and GDDR7.
Who should buy the RTX 5070 Ti, and who should buy the RTX 4080 Super?
Buy the RTX 5070 Ti if MSRP and efficiency drive the decision and you accept that its AI throughput is untracked in our database. Buy the RTX 4080 Super if you want source-attributed benchmark numbers before you spend.
Best for budget 16 GB AI builds: RTX 5070 Ti. It lists $200 lower at MSRP, draws less power, and brings the newer Blackwell platform with GDDR7, per NVIDIA's specifications.
Best for verified performance: RTX 4080 Super. According to TechPowerUp testing, it delivers 165 tokens per second on Llama-3-8B and 58 SDXL Turbo images per minute — numbers you can plan around.
How did we compare these two GPUs?
We compared the RTX 5070 Ti and RTX 4080 Super using manufacturer specifications and the benchmark results tracked in our benchmark database. Specifications come from NVIDIA's specification pages; where our database does not track a value, the table says so instead of estimating. Benchmark numbers come from TechPowerUp GPU Reviews, the tracked source for the RTX 4080 Super. We publish no derived ratios, no street prices, and no guesses about untracked performance. Facts checked August 14, 2026.
Frequently Asked Questions
These are the questions buyers ask when choosing between the RTX 5070 Ti and the RTX 4080 Super for AI work.
Is the RTX 5070 Ti good for AI workloads?
Its specification profile suits 16 GB-class AI work well: 16 GB of GDDR7, a 300 W board rating, and the Blackwell architecture, per NVIDIA's specifications. Our database holds no benchmark results for it, so we make no speed claim. Pair it with the expectation that you are buying the specification sheet, not a verified throughput figure.
Which GPU is cheaper, the RTX 5070 Ti or the RTX 4080 Super?
The RTX 5070 Ti, at a $799 launch MSRP versus $999 for the RTX 4080 Super, per NVIDIA's announced pricing. Street prices vary, so check current price via the links above.
Do both GPUs have 16 GB of VRAM?
Yes. Both the RTX 5070 Ti and the RTX 4080 Super ship with 16 GB, per NVIDIA's specifications. Neither holds 70B-class models in video memory.
Which GPU uses less power?
The RTX 5070 Ti, at 300 W total board power versus 320 W for the RTX 4080 Super, per NVIDIA's specifications. The difference is small for most builds.
What memory does each GPU use?
The RTX 5070 Ti uses GDDR7 memory; the RTX 4080 Super uses GDDR6X, per NVIDIA's specifications. The RTX 4080 Super's bandwidth is tracked at 736 GB/s, while the RTX 5070 Ti's bandwidth is not tracked in our database. Both cards place that memory behind a 256 bit bus.
Is the RTX 5070 Ti newer than the RTX 4080 Super?
Yes. The RTX 5070 Ti uses the Blackwell architecture with a PCIe 5.0 x16 interface; the RTX 4080 Super uses Ada Lovelace with PCIe 4.0 x16, per NVIDIA's specifications.
Can the RTX 5070 Ti run the same AI tools as the RTX 4080 Super?
Yes. Both are NVIDIA GeForce GPUs, so the mainstream LLM serving and image generation stacks that run on the RTX 4080 Super also run on the RTX 5070 Ti. The open question is speed, which our database does not track for the RTX 5070 Ti.
Sources
Specification and benchmark claims in this article come from the following origins.
- NVIDIA GeForce RTX 5070 Ti and GeForce RTX 4080 Super official specification pages (manufacturer specifications).
- TechPowerUp GPU Reviews — RTX 4080 Super Llama-3-8B Q4 llama.cpp tokens per second and SDXL Turbo ComfyUI images per minute: https://www.techpowerup.com/reviews/