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NVIDIA · Ada Lovelace · 16 GB · Qwen3.8 27B · Q4_K_M at 8K context: ~11 tok/s with RAM offload

NVIDIA GeForce RTX 4070 Ti SUPER 16GB

The cheapest 16 GB Ada card with a full 256-bit bus: 672 GB/s and FP8 tensor cores at 285 W. A 14B model at Q6 or a 24B at Q4 fits, the same as on a 4080, at a slightly lower speed.

Watch Qwen3.8 27B stream at this machine's speed

Lowest price right now

$1,046.08

eBay · $1,000 + $46.08 shipping · $65 per GB · observed 2026-11-14 18:37 UTC

Buy the cheapest on eBay, $1,046.08

$1,000 + $46.08 shipping · Used · dsm-pcs 32 · 97.0%

See more on eBay

Or rent one from $0.12 an hour

Price alert

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Price history

Daily low across every tracked vendor, last 4 days.

$888$945$1,001$1,058Nov 11Nov 14lowest $899.99

Where to buy

VendorPriceConditionObserved
eBay
cheapest active listing		 $1,046.08
$1,000 + $46.08 shipping		 new and used 2026-11-14 18:37 UTC Go to eBay

On eBay now

56 listings passed our filters at the last check, 7 min ago. We check every 28 minutes. Cheapest delivered first. Seller reputation is feedback count and positive rate.

All 56 listings · Open the search on eBay

Rent one by the hour

Try it before you buy, or skip buying: the cheapest on-demand price for one RTX 4070 Ti Super in the cloud right now, checked every hour.

CloudPer hourListed asAvailable
Vast.ai$0.12RTX 4070S Ti14 verified offersRent on Vast.ai

At $0.12 an hour on Vast.ai, the $1,046.08 a used one costs on eBay buys about 8,500 hours of rental: 12 months around the clock, or 2.9 years at 8 hours a day. Use it more than that and buying comes out ahead; your power bill pushes that point later, resale value pulls it earlier.

Rental prices for every card · Rental links are referral links: we earn a small share of what you spend, at no cost to you.

What it runs

For each model, grouped by vendor with the newest first: the largest quant that fits with 8K of context and the estimated speed for one user, at 8K and at 32K of context. On a card, a model too big for its memory can still run with part of the weights in system RAM; we assume 64 GB, and the speed shown accounts for it. The model you picked on the ladder is highlighted. Estimates from the spec sheet, not measurements: see how we estimate.

ModelQuantNeeds at 8KFitMax contextDecode at 8KAt 32KPrefill tok/s
DeepSeek
DeepSeek V4.1 Flash 552B-A16B Sep 2026Q4_K_M338 GBdoes not fit
DeepSeek V4 Flash 284B-A13B Jul 2026Q4_K_M175 GBdoes not fit
DeepSeek V3.1 671B-A37B Aug 2025Q4_K_M411 GBdoes not fit
Gemma
Gemma 4 12B May 2026Q8_014 GBfits109K~34~33~1,300
Gemma 4 31B Mar 2026IQ2_M13 GBfits48K~39~33~500
Gemma 4 26B-A4B Mar 2026Q3_K_M14 GBfits102K~120~110~4,100
Gemma 3 27B Mar 2025Q3_K_M16 GBfits12K~31~560
GLM
GLM-5.3 753B-A40B Aug 2026Q4_K_M462 GBdoes not fit
GLM-5.3 Flash 320B-A18B Aug 2026Q4_K_M197 GBdoes not fit
GLM-4.6 355B-A32B Sep 2025Q4_K_M221 GBdoes not fit
GLM-4.5 Air 106B-A12B Jul 2025Q4_K_M68 GBruns with 52 GB in system RAM~6.5~640
gpt-oss
gpt-oss-120b Aug 2025Q3_K_M59 GBruns with 44 GB in system RAM~19~17~1,500
gpt-oss-20b Aug 2025Q4_K_M15 GBfits33K~110~82~4,300
Llama
Llama 4 Scout 109B-A17B Apr 2025Q4_K_M70 GBruns with 54 GB in system RAM~4.6~450
Llama 3.3 70B Dec 2024Q4_K_M47 GBruns with 32 GB in system RAM~1.2~1.0~110
Llama 3.1 8B Jul 2024Q8_011 GBfits44K~46~34~1,900
MiMo
MiMo V2.6 Pro 1.02T-A42B Sep 2026Q4_K_M624 GBdoes not fit
MiMo V2.6 Flash 309B-A15B Sep 2026Q4_K_M190 GBdoes not fit
Mistral
Mistral Medium 3.5 128B Mar 2026Q3_K_M67 GBruns with 52 GB in system RAM~0.8~60
Mistral Small 4 119B-A6.5B Mar 2026Q3_K_M65 GBruns with 49 GB in system RAM~12~1,200
Mistral Small 3.2 24B Jun 2025Q3_K_M15 GBfits16K~33~640
Nemotron
Nemotron 3.5 Lightning 30B-A3B Aug 2026IQ2_M12 GBfits128K+~160~150~4,400
Qwen
Qwen3.8 Flash-Next 125B-A6B Aug 2026Q3_K_M63 GBruns with 47 GB in system RAM~16~16~1,300
Qwen3.8 27B Aug 2026 (your pick)Q3_K_M15 GBfits18K~32~570
Qwen3.6 27B Apr 2026Q3_K_M15 GBfits18K~32~570
Qwen3.6 35B-A3B Apr 2026IQ2_M14 GBfits123K~160~140~5,100
Qwen3.5 9B Feb 2026Q8_011 GBfits128K+~45~41~1,700
Qwen3 Coder 480B-A35B Jul 2025Q4_K_M296 GBdoes not fit
Qwen3 235B-A22B Jul 2025Q4_K_M146 GBdoes not fit
Qwen3 32B Apr 2025IQ2_M15 GBfits12K~33~470

Specifications

Memory
16 GB GDDR6X
Memory bandwidth
672 GB/s
Bus width
256-bit
Shader cores
8,448
Tensor cores
264
FP32
44.1 TFLOPS
FP16 (dense)
88 TFLOPS
FP8 (dense)
176 TFLOPS
Power
285 W
Form factor
Dual or triple slot, full height
Interface
PCIe 4.0 x16
Architecture
Ada Lovelace
Launched
2024
MSRP
$799

Source: manufacturer specifications.

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