Fastest-accelerating Lamborghini models

The Lamborghini models with the quickest 0–100 km/h sprint.

1. 1 Lamborghini Fenomeno Roadster 2026 – present · 6.5L V12 8AT AWD (1080 HP) 1,080 hp 0–100 km/h2.4 s
2. 2 Lamborghini Revuelto 2026 – present · 6.5L V12 8AT 4WD (1065 HP) 1,065 hp 0–100 km/h2.4 s
3. 3 Lamborghini Temerario 2024 – present · 4.0L V8 8AT AWD (800 HP) 800 hp 0–100 km/h2.7 s
4. 4 Lamborghini Aventador 2022 – present · 6.5L V12 7AT AWD (780 HP) 780 hp 0–100 km/h2.8 s
5. 5 Lamborghini Sian 2019 – 2022 · 6.5L V12 7AT AWD (819 HP) 819 hp 0–100 km/h2.8 s
6. 6 Lamborghini Centenario 2016 – 2017 · 6.5L V12 7AT AWD (770 HP) 770 hp 0–100 km/h2.8 s
7. 7 Lamborghini Veneno 2013 – 2014 · 6.5L V12 (750 HP) 750 hp 0–100 km/h2.8 s
8. 8 Lamborghini Huracan 2019 – 2023 · 5.2L V10 7AT AWD (640 HP) 640 hp 0–100 km/h2.9 s
9. 9 Lamborghini Murcielago 2009 – 2010 · 6.5L V12 6MT AWD (670 HP) 670 hp 0–100 km/h3.2 s
10. 10 Lamborghini Urus 2022 – present · 4.0L V8 8AT 4WD (666 HP) 666 hp 0–100 km/h3.3 s
11. 11 Lamborghini Gallardo 2012 – 2013 · 5.2 V10 (570 HP) 570 hp 0–100 km/h3.4 s
12. 12 Lamborghini Reventon 2008 – 2009 · 6.5L V12 6MT AWD (650 HP) 650 hp 0–100 km/h3.4 s
13. 13 Lamborghini Diablo 1996 – 1999 · 5.7L V12 5MT (530 HP) 530 hp 0–100 km/h3.8 s
14. 14 Lamborghini Miura 1971 – 1987 · 3.9L V12 5MT RWD (415 HP) 415 hp 0–100 km/h4.2 s
15. 15 Lamborghini Countach 1989 – 1990 · 5.2L V12 5MT (455 HP) 455 hp 0–100 km/h5.0 s
16. 16 Lamborghini Urraco 1972 – 1979 · P300 V8 5MT RWD (265 HP) 265 hp 0–100 km/h6.2 s
17. 17 Lamborghini Silhouette 1976 – 1979 · 3.0 V8 260 hp 0–100 km/h6.8 s
18. 18 Lamborghini Jarama 1970 – 1976 · 400L GTS V12 5MT (365 HP) 365 hp 0–100 km/h6.8 s
19. 19 Lamborghini Jalpa 1981 – 1988 · 3.5 V8 258 hp 0–100 km/h7.0 s
20. 20 Lamborghini Espada 1968 – 1976 · 3.9L V12 S2 5MT RWD (350 HP) 350 hp 0–100 km/h7.6 s
21. 21 Lamborghini LM 002 1986 – 1993 · 5.2L V12 5MT (450 HP 450 hp 0–100 km/h7.7 s

Each model appears once, with its best version. Figures are manufacturer data from the CarVariables catalog; values that are clearly wrong in the source data are left out.

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