GPU/ASIC Profitability Ranking

Most Profitable Coins To Mine With Nvidia GeForce GTX 1660 Super

The GTX 1660 Super is one of the most recent cards in the Nvidia series. Launched on October 29, 2019, it remains relevant. It is a mid-range card with a launch price of $229.

The card features 6 GB of GDDR6 memory, the Turing architecture, and memory speed at 14 Gbps. According to the manufacturer, the GTX 1660 Super outranks its younger brother in performance by 20%. As for the Nvidia GTX 1060 6 GB, there is a 75% advantage. Like other Nvidia graphics cards, the 1660 Super can mine ZCoin, Ethereum, Ravencoin, Beam, and other top cryptocurrencies.

Nvidia GeForce GTX 1660 Super Mining Hashrate

Cuckatoo32
0.26 Gps
BeamHash
15 Sol/s
Ethash
30 Mh/s
Etchash
30 Mh/s
FiroPoW
14.2 Mh/s
KAWPOW
14.2 Mh/s
Autolykos2
63 Mh/s
KHeavyHash
291 Mh/s
NexaPow
32 Mh/s

Nvidia GeForce GTX 1660 Super Mining Profit

CryptocurrencyCryptocurrencyPriceCurrent DifficultyMining Profit 24h
NeoxaNEOX
Price
0.004253 $
-1.98%
Current Difficulty
9.30 K
-7.01%
Mining Profit 24h
0.27 $
64.30 NEOX
0.004253 $-1.98%9.30 K-7.01%0.27 $64.30 NEOX
NeuraiXNA
Price
0.004298 $
-11.22%
Current Difficulty
68.13 K
-11.48%
Mining Profit 24h
0.26 $
60.05 XNA
0.004298 $-11.22%68.13 K-11.48%0.26 $60.05 XNA
RavencoinRVN
Price
0.018563 $
-0.93%
Current Difficulty
72.46 K
9.04%
Mining Profit 24h
0.20 $
10.75 RVN
0.018563 $-0.93%72.46 K9.04%0.20 $10.75 RVN
NexaNEXA
Price
0.000014 $
-11.35%
Current Difficulty
447.33 K
-0.31%
Mining Profit 24h
0.20 $
14346 NEXA
0.000014 $-11.35%447.33 K-0.31%0.20 $14346 NEXA
BeamBEAM
Price
0.051476 $
-1.51%
Current Difficulty
17.04 M
6.37%
Mining Profit 24h
0.17 $
3.236 BEAM
0.051476 $-1.51%17.04 M6.37%0.17 $3.236 BEAM
Bitcoin GoldBTG
Price
14.79 $
-3.63%
Current Difficulty
175.12 K
-15.92%
Mining Profit 24h
0.14 $
0.009 BTG
14.79 $-3.63%175.12 K-15.92%0.14 $0.009 BTG
ErgoERG
Price
1.19 $
1.05%
Current Difficulty
1.64 P
-3.75%
Mining Profit 24h
0.13 $
0.106 ERG
1.19 $1.05%1.64 P-3.75%0.13 $0.106 ERG
GrinGRIN32
Price
0.034365 $
-1.17%
Current Difficulty
191.61 M
-2.40%
Mining Profit 24h
0.09 $
2.619 GRIN32
0.034365 $-1.17%191.61 M-2.40%0.09 $2.619 GRIN32
Flux (ZelCash)FLUX
Price
0.55 $
1.24%
Current Difficulty
28.18 K
-3.28%
Mining Profit 24h
0.07 $
0.136 FLUX
0.55 $1.24%28.18 K-3.28%0.07 $0.136 FLUX
Ethereum ClassicETC
Price
18.58 $
-1.15%
Current Difficulty
1.89 P
-2.18%
Mining Profit 24h
0.06 $
0.003 ETC
18.58 $-1.15%1.89 P-2.18%0.06 $0.003 ETC
Ethereum PoWETHW
Price
2.69 $
-3.38%
Current Difficulty
211.07 T
-6.03%
Mining Profit 24h
0.06 $
0.023 ETHW
2.69 $-3.38%211.07 T-6.03%0.06 $0.023 ETHW
KaspaKAS
Price
0.13 $
-2.26%
Current Difficulty
79.68 P
1.24%
Mining Profit 24h
0.01 $
0.050 KAS
0.13 $-2.26%79.68 P1.24%0.01 $0.050 KAS

Buy Nvidia GeForce GTX 1660 Super

Nvidia GeForce GTX 1660 Super Payback Period

The Nvidia GeForce GTX 1660 Super payback period depends on its efficiency (hashrate), selling price, and energy consumption. The estimate features Nvidia recommended retail price - $240, but you can change it to the price you actually paid for your GPU. The energy expenses are not taken into account in the calculation. The GPU hashrate corresponds to optimal overclocking parameters. Make sure to read: GPU Overclocking on Different Algorithms.

Price for Nvidia GeForce GTX 1660 Super
$
Payback
29months
Cryptocurrency
~
0.27 $per day

Nvidia GeForce GTX 1660 Super Overclocking for Mining

To maximize hash rate you are probably going to need to configure additional settings. Choose an optimal GPU overclocking value to maximize hash rate and keep energy consumption at an acceptable level. Algorithms may require core overclocking, memory overclocking, or both. The main overclocking principle is stable work and maximum hash rate at an acceptable energy consumption level. It’s important to remember that each GPU is unique. If for one it is possible to overclock the core to 2000 MHz, for a similar one you may be able to overclock only to 1900 MHz. Make sure to adjust overclocking settings for each card individually. Find out more: GPU Overclocking on Different Algorithms.