RTX 4070 Ti Super vs RTX 4080 Super: Which Is Better for AI?
For local AI workloads, the RTX 4080 Super is the stronger card on tracked numbers: 736 GB/s of measured bandwidth, 10240 CUDA cores, and benchmark entries in our database, versus a $200 lower MSRP and a much lower 220 W board rating for the RTX 4070 Ti Super. How to weigh that trade is straightforward: both cards have the same 16 GB of VRAM, the same GDDR6X memory type, and the same PCIe 4.0 x16 interface, per NVIDIA's specifications. Best for value and efficiency: RTX 4070 Ti Super. Best for maximum tracked performance: RTX 4080 Super. Specs checked August 14, 2026.
How do the specifications compare?
These are sibling GPUs from the same Ada Lovelace generation, so the differences are size, power, and price rather than platform. The comparison below is per NVIDIA's specification pages; two RTX 4070 Ti Super rows are not tracked in our specification database.
| Specification | GeForce RTX 4070 Ti Super | GeForce RTX 4080 Super |
|---|---|---|
| VRAM | 16 GB | 16 GB |
| Memory type | GDDR6X | GDDR6X |
| Memory bus | 256 bit | 256 bit |
| Memory bandwidth | Not tracked in our database | 736 GB/s |
| Total board power (TDP) | 220 W | 320 W |
| CUDA cores | Not tracked in our database | 10240 |
| MSRP | $799 | $999 |
| PCIe interface | PCIe 4.0 x16 | PCIe 4.0 x16 |
| Architecture | Ada Lovelace | Ada Lovelace |
Which GPU has more VRAM?
Neither: both the RTX 4070 Ti Super and the RTX 4080 Super ship with 16 GB of GDDR6X on a 256 bit bus, per NVIDIA's specifications. Capacity and memory technology are identical, so neither card runs models the other cannot.
Sixteen gigabytes handles Llama-3-8B at Q4 quantization comfortably and serves SDXL-class image generation well. It will not hold 70B-class models in video memory; that workload needs a 24 GB or 32 GB card. Between these two siblings, the ceiling is the same either way, and paying more for the RTX 4080 Super buys speed, not capacity.
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 4070 Ti Super has no benchmark entries in our database, and we do not guess its numbers.
That gap defines this comparison. The RTX 4080 Super's tracked bandwidth of 736 GB/s and 10240 CUDA cores, per NVIDIA's specification, point to more compute than its sibling; whether that advantage matters for your workloads depends on benchmarks we can only offer for the bigger card.
Which GPU costs less?
The RTX 4070 Ti Super, at launch MSRP: $799 versus $999 for the RTX 4080 Super, per NVIDIA's announced pricing. Street prices move with availability, so check current price via the links below.
We avoid performance-per-dollar math here for a structural reason: with no RTX 4070 Ti Super benchmarks in our database, any ratio built on its performance would be fiction. Compare the MSRP gap against your need for verified throughput numbers.
How much power does each GPU need?
The RTX 4070 Ti Super is far easier to feed: 220 W total board power versus 320 W for the RTX 4080 Super, per NVIDIA's specifications. That is the largest practical difference between the pair outside price.
The lower rating opens up smaller cases and modest power supplies that would strain with the RTX 4080 Super, and it dumps less heat during multi-hour inference runs. For a compact single-GPU AI box, that efficiency argument weighs heavily in the RTX 4070 Ti Super's favor.
Which GPU shares the same platform?
Both do, fully: both use the Ada Lovelace architecture, GDDR6X memory, a 256 bit bus, and a PCIe 4.0 x16 interface, per NVIDIA's specifications. There is no platform or software-stack difference to weigh in this pairing.
That symmetry narrows the decision to three factors: the MSRP difference, the power difference, and the fact that only the RTX 4080 Super has tracked bandwidth, core count, and benchmark figures in our database. Everything else is equal by specification.
Which GPU fits a compact AI build?
The RTX 4070 Ti Super, comfortably. Its 220 W total board power, per NVIDIA's specification, is far below the RTX 4080 Super's 320 W, which relaxes the demands on the power supply, the case, and the cooling under sustained multi-hour inference runs.
Compact builds compound the advantage: less heat means slower, quieter fans, and a smaller power budget leaves room for other components. Buyers planning a full-tower build with flagship cooling can treat this as a secondary factor and decide on price and tracked performance instead.
What are the disadvantages of each GPU?
The RTX 4070 Ti Super's disadvantage is missing data and a smaller tracked specification footprint; the RTX 4080 Super's disadvantages are price and power. The specifics follow.
RTX 4070 Ti Super disadvantages:
- No benchmark entries in our database, so its LLM 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 sibling, so it unlocks no additional models.
RTX 4080 Super disadvantages:
- Higher MSRP: $999 versus $799, per NVIDIA's announced pricing.
- Much higher board power: 320 W versus 220 W, per NVIDIA's specifications, which raises cooling and power supply demands.
- Same platform, memory type, bus width, and VRAM as the cheaper card.
Who should buy the RTX 4070 Ti Super, and who should buy the RTX 4080 Super?
Buy the RTX 4070 Ti Super if budget, case size, or power limits drive the build: it delivers the same 16 GB capacity on the same platform for a $799 MSRP and 220 W. Buy the RTX 4080 Super if you want the bigger card's tracked bandwidth, core count, and benchmark numbers and will pay for them in dollars and watts.
Best for compact and efficient AI builds: RTX 4070 Ti Super. Its 220 W board rating and $799 MSRP, per NVIDIA's specifications, make it the pragmatic choice when capacity is the requirement.
Best for verified throughput: RTX 4080 Super. According to TechPowerUp testing, it runs Llama-3-8B at 165 tokens per second and SDXL Turbo at 58 images per minute, with 736 GB/s of tracked bandwidth behind it.
How did we compare these two GPUs?
We compared the RTX 4070 Ti Super 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 rather than 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 performance guesses for untracked cards. Facts checked August 14, 2026.
Frequently Asked Questions
These are the questions buyers ask when choosing between the RTX 4070 Ti Super and the RTX 4080 Super for AI work.
Is the RTX 4070 Ti Super good for AI workloads?
Its specification profile fits 16 GB-class AI work: 16 GB of GDDR6X on a 256 bit bus, Ada Lovelace architecture, and a 220 W board rating, per NVIDIA's specifications. Our database holds no benchmark results for it, so we make no speed claim.
Which GPU is cheaper, the RTX 4070 Ti Super or the RTX 4080 Super?
The RTX 4070 Ti Super, 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 ship with 16 GB of GDDR6X, per NVIDIA's specifications. Neither holds 70B-class models in video memory.
Which GPU uses less power?
The RTX 4070 Ti Super, at 220 W total board power versus 320 W for the RTX 4080 Super, per NVIDIA's specifications. The difference matters for compact builds and modest power supplies, and it shows up as heat during multi-hour batch runs.
Are both GPUs the same architecture?
Yes. Both use the Ada Lovelace architecture with a PCIe 4.0 x16 interface, per NVIDIA's specifications. The differences are size, power, MSRP, and tracked performance data.
Is the RTX 4080 Super faster than the RTX 4070 Ti Super?
Its tracked specifications are larger — 736 GB/s of bandwidth and 10240 CUDA cores, per NVIDIA's specification — and it is the only one of the pair with benchmark entries in our database: 165 tokens per second on Llama-3-8B and 58 SDXL Turbo images per minute, according to TechPowerUp testing. We publish no speed claim for the RTX 4070 Ti Super.
Which GPU is better for a small-form-factor AI build?
The RTX 4070 Ti Super. Its 220 W board rating versus 320 W for the RTX 4080 Super, per NVIDIA's specifications, makes it far easier to cool and feed inside a compact case running hours-long AI workloads. You give up nothing in capacity or platform, since both cards offer the same 16 GB on the same Ada Lovelace platform.
Sources
Specification and benchmark claims in this article come from the following origins.
- NVIDIA GeForce RTX 4070 Ti Super 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/
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