Aston Martin · Minicompact cars · Gasoline
Aston Martin DB11: MPG and annual fuel cost, 2023
The Aston Martin DB11 was last rated in the data for model year 2023, at 20 MPG combined.
- 20MPG combined
- $4,100a year in fuel
- 431g/mile CO2
Where it stands
Among all gasoline models of the year, regardless of size, it is 21st of 35 gasoline models, in the lower half.
Fuel cost and CO2
Assuming 15,000 miles a year with 55% of them in the city and premium gasoline at $5.48 per gallon, fuelling the most efficient version comes to about $4,100 a year.
Tailpipe CO2 is 431 g/mile for the most efficient version.
Rated versions
Its city rating is 18 and its highway rating 24: the highway figure is 6 higher. 2 versions are rated for 2023. The most efficient, DB11 V8: 4.0 L, 8 cyl, Automatic 8-spd, RWD, gets 20 MPG; the least efficient listed, DB11 V12: 5.2 L, 12 cyl, Automatic 8-spd, RWD, gets 17 MPG, a gap of 3 MPG. With the file's assumptions that gap is worth about $750 a year in fuel.
| Version | Combined MPG | City MPG | Highway MPG | Annual fuel cost | CO2 g/mile |
|---|---|---|---|---|---|
| DB11 V8: 4.0 L, 8 cyl, Automatic 8-spd, RWD | 20 | 18 | 24 | $4,100 | 431 |
| DB11 V12: 5.2 L, 12 cyl, Automatic 8-spd, RWD | 17 | 14 | 22 | $4,850 | 522 |
Year by year
The Aston Martin DB11 is in the data for 5 of the 8 model years from 2019 to 2026. The headline rating did not move between 2019 and 2023: 20 MPG both times.
| Model year | Versions | Best MPG | Lowest MPG | Fuel cost | CO2 g/mi | Class median |
|---|---|---|---|---|---|---|
| 2023 | 2 | 20 | 17 | $4,100 | 431 | 20 |
| 2022 | 2 | 20 | 17 | $4,100 | 431 | 19.5 |
| 2021 | 2 | 20 | 18 | $4,100 | 431 | 20 |
| 2020 | 2 | 20 | 18 | $4,100 | 431 | 20 |
| 2019 | 2 | 20 | 18 | $4,100 | 431 | 24 |
Similar models
| Model | Powertrain | Combined MPG | Annual fuel cost | Model year |
|---|---|---|---|---|
| Ferrari Portofino | Gasoline | 19 | $4,350 | 2023 |
| Aston Martin DBS | Gasoline | 17 | $4,850 | 2023 |
Compare and rank
Rankings: Minicompact cars.
Data: US EPA and DOE, as prepared in methods and data.