3 New Kia Optima Old Saybrook Connecticut

MSRP:
$24,550
Discount:
$1,220
Kia of Saybrook Price:
$23,330
OEM Incentives
2020 Kia Optima (Excluding Hybrid and PHEV) Customer Cash
-$3,500
Your Price:
$19,830
24/32 mpg
2.4L 4-Cyl EngineAutomaticFront Wheel Drive24/32 mpg
MSRP:
$24,550
Discount:
$1,220
Kia of Saybrook Price:
$23,330
OEM Incentives
2020 Kia Optima (Excluding Hybrid and PHEV) Customer Cash
-$3,500
Your Price:
$19,830
  • Engine: 2.4L 4-Cyl Engine
  • MPG: 24 City / 32 Hwy
  • Exterior: Sparkling Silver
  • Interior: Black
  • Stock: 16712
  • VIN #: 5XXGT4L31LG436233
MSRP:
$24,550
Discount:
$1,220
Kia of Saybrook Price:
$23,330
OEM Incentives
2020 Kia Optima (Excluding Hybrid and PHEV) Customer Cash
-$3,500
Your Price:
$19,830
24/32 mpg
2.4L 4-Cyl EngineAutomaticFront Wheel Drive24/32 mpg
MSRP:
$24,550
Discount:
$1,220
Kia of Saybrook Price:
$23,330
OEM Incentives
2020 Kia Optima (Excluding Hybrid and PHEV) Customer Cash
-$3,500
Your Price:
$19,830
  • Engine: 2.4L 4-Cyl Engine
  • MPG: 24 City / 32 Hwy
  • Exterior: Gravity Grey
  • Interior: Black
  • Stock: 16713
  • VIN #: 5XXGT4L36LG447860
MSRP:
$24,805
Discount:
$1,259
Kia of Saybrook Price:
$23,546
OEM Incentives
2020 Kia Optima (Excluding Hybrid and PHEV) Customer Cash
-$3,500
Your Price:
$20,046
24/32 mpg
2.4L 4-Cyl EngineAutomaticFront Wheel Drive24/32 mpg
MSRP:
$24,805
Discount:
$1,259
Kia of Saybrook Price:
$23,546
OEM Incentives
2020 Kia Optima (Excluding Hybrid and PHEV) Customer Cash
-$3,500
Your Price:
$20,046
  • Engine: 2.4L 4-Cyl Engine
  • MPG: 24 City / 32 Hwy
  • Exterior: Snow White Pearl
  • Interior: Black
  • Stock: 16638
  • VIN #: 5XXGT4L31LG410554
Didn't find the right fit?
Just let us know what you're looking for and we'll email you as soon as it arrives!
*These estimates reflect new EPA methods beginning with 2008 models. Your actual mileage will vary depending on how you drive and maintain your vehicle. Actual mileage will vary with options, driving conditions, driving habits and vehicle's condition. Mileage estimates may be derived from previous year model.