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GPUs tracked64Price history73 daysPrice points (24h)30,814 pointsBiggest 24h dropCMP 170HX 64GB-10.8%Biggest 24h riseRadeon PRO W7800+33.6%Updated
$ USD

GeForce RTX 4070 Ti SUPER Price, 16GB VRAM & Local LLMs

NVIDIA's RTX 4070 Ti SUPER (2024) is an upper-midrange gaming card and the only 16GB model in the 4070 family, so it fits 12B-class models even at 8-bit. Sellers often shorten it to “4070 TiS” or “4070 TS” in listings; don't confuse it with the 12GB 4070 Ti.

eBay

GeForce RTX 4070 Ti SUPER price history

Current$1,2000.00%
eBay
Price updated
$1,724$1,507$1,290$1,073$856
Low $980High $1,600
Nov 9Nov 11Nov 14

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GeForce RTX 4070 Ti SUPER VRAM & full specs

  • Memory16 GB · GDDR6X
  • Bandwidth672 GB/s
  • FP16 / BF16176.4 TFLOPS
  • FP8 / INT8352.8 / 352.8 TOPS
Bus width
256-bit
Architecture
Ada Lovelace (AD103)
Cores
8,448
Tensor cores
264
Ecosystem
CUDA
Interface
PCIe 4.0 x16
NVLink
Not supported
Power
285 W
Power connector
16-pin 12VHPWR(盒内附 2× 8-pin 转接线)
Type
Consumer
Launch date
Jan 24, 2024
MSRP
$799

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What LLMs can a single GeForce RTX 4070 Ti SUPER run?

A single RTX 4070 Ti SUPER can run models up to 12B at 8-bit, with Gemma 4 12B at about 38 tokens/s. Dense models of 27B and up don't fit at 4-bit and have to drop to 2-bit; for MoE, Qwen3.6 35B A3B at 2-bit fits entirely on the card and is the fastest option it has.

ModelSizeRuns?Speed t/sMax context
Gemma 4 E4B8B5 GBRuns88.9128K
Qwen3.5 9B9.7B5.7 GBRuns78.6256K
Gemma 4 12B12B7.1 GBRuns64256K
Gemma 4 26B A4B25.2B (3.8B active)16.9 GBNeeds RAM offload37.4256K
Qwen3.6 27B27.8B16.8 GBToo big——
Qwen3.8 27B27.8B16.5 GBToo big——
GLM 4.7 Flash30B (3B active)18.3 GBNeeds RAM offload35.9198K
Gemma 4 31B30.7B18.3 GBToo big——
Qwen3.6 35B A3B36B (3B active)22.1 GBNeeds RAM offload50.3256K

RunsFits fully in VRAM; speed is estimated from VRAM bandwidth.

Needs RAM offloadMoE only: expert weights sit in system RAM, so speed is estimated from 70 GB/s RAM bandwidth.

Too bigWon’t fit on one card at this quantization, even with RAM offload.

Full calculation rules are on the Methodology page.

Who it suits

Good fit

  1. You want models up to 12B at 8-bit

    Gemma 4 12B at 8-bit (12.7 GB) runs at about 38 tokens/s with up to 183K of context, versus about 64 at 4-bit

  2. Running 30B-class MoE models at 2-bit entirely on the card

    Qwen3.6 35B A3B runs at about 146 tokens/s with 181K of context, nearly three times as fast as at 4-bit with its experts in system RAM

  3. You want generation speed close to a 4080 with lower power draw

    It has the same 16GB, the 4080's bandwidth is only 7% higher, and this card draws 285W, 35W less than the 4080

Not a good fit

  1. You want 27B-class dense models at 4-bit

    The weights alone start at 16.5 GB, so once you add context they won't fit in 16GB of VRAM; they do run at 2-bit, but Gemma 4 31B is left with only 41K of context

  2. Running 100B-plus models across several cards

    It takes 8 cards to fit Qwen3.8 Flash Next at 2-bit, and finding a motherboard and power supply for that many is hard

Before you buy

  1. Make sure it's the Ti SUPER with 16GB

    The 4070 Ti and 4070 Ti SUPER differ by a single word: the first has 12GB on a 192-bit bus, the second 16GB on a 256-bit bus. Sellers often shorten the SUPER to “4070 TiS” or “4070 TS” in listings, and one listed only as “4070 Ti” is most likely the 12GB card. Before ordering, ask the seller for a GPU-Z screenshot and check the VRAM and bus width.

  2. No Founders Edition, and seat the power plug fully

    NVIDIA made no Founders Edition of the 4070 Ti SUPER, so look up size and cooling for the specific model; NVIDIA recommends a 700W power supply for the system. Most cards have a single 16-pin power connector, with an adapter for two 8-pin cables in the box. As with the 4080 and 4090, push the plug in all the way before you power on.

  3. Same chip as the 4080

    It uses a cut-down version of the 4080's AD103 chip with the same 256-bit memory bus, so its generation speed is very close to the 4080's. The difference is compute: the 4080 has about 10% more, which makes it a bit faster when reading in a very long document at once.

Compared with similar GPUs

GeForce RTX 4070 Ti SUPER vs GeForce RTX 3090, GeForce RTX 5070 Ti, and GeForce RTX 4080: price, VRAM, bandwidth, compute and local LLM speed compared.

SpecGeForce RTX 4070 Ti SUPERGeForce RTX 3090GeForce RTX 5070 TiGeForce RTX 4080
Memory
16 GB
24 GB50% more
16 GBSame
16 GBSame
Bandwidth
672 GB/s
936 GB/s39% higher
896 GB/s33% higher
717 GB/s7% higher
BF16 / FP16 compute
176 TFLOPS
142 TFLOPS19% lower
176 TFLOPSSame
195 TFLOPS11% higher
INT8 compute
353 TOPS
285 TOPS19% lower
352 TOPSSame
390 TOPS11% higher
Qwen3.8 27B speed (2-bit)
47.8 t/s
64.8 t/s36% faster
62.3 t/s30% faster
50.7 t/s6% faster
Largest dense model (4-bit)
23B
37B61% more
23BSame
23BSame
Power
285 W
350 W23% higher
300 W5% higher
320 W12% higher
GPU interconnect
Not supported
NVLink 112.5 GB/s
Not supported
Not supported
Interface
PCIe 4.0 x16
PCIe 4.0 x16
PCIe 5.0 x16
PCIe 4.0 x16
Released
2024-01
2020-09
2025-02
2022-11
eBay median

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Other markets

Amazon.jp · Japan
$2,113
11 listings
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Xianyu · Mainland China
$983
28 listings
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