2024 Hyundai Ioniq 5 N vs 2024 Rivian R1T
AI Telemetry Verdict:In this head-to-head, the 2024 Hyundai Ioniq 5 Nholds the statistical edge in Performance Index (822). For the technical touge passes of Mount Fuji, the 2024 Hyundai Ioniq 5 Nis the superior technical chassis due to its refined lateral G-force profile.

2024 Hyundai Ioniq 5 N
Hyundai
2024 Rivian R1T
Rivian"In a head-to-head battle, the 2024 Hyundai Ioniq 5 N edges out the 2024 Rivian R1T primarily due to its exceptional Performance Index performance."
| 2024 Hyundai Ioniq 5 N | Metric | 2024 Rivian R1T |
|---|---|---|
| 822 | Performance Index | 760 |
| 7.2 | Speed | 5.9 |
| 7.5 | Handling | 5 |
| 8.8 | Acceleration | 8.1 |
| 9.2 | Launch | 8.4 |
| 7.9 | Braking | 5.9 |
| 4.8 | Offroad | 8.2 |
| 162 | Top Speed (MPH) | 125 |
| 4850 | Weight (lbs) | 7149 |
| AWD | Drivetrain | AWD |
| 66,000 | Price (CR) | 80,000 |
📈 Technical Data Analysis:
Speed & Acceleration Analysis
When it comes to straight-line performance, the 2024 Hyundai Ioniq 5 N boasts a speed rating of 7.2, while the 2024 Rivian R1T hits 5.9.
The 2024 Hyundai Ioniq 5 N has the edge in top-end velocity, reaching 162 MPH compared to the 2024 Rivian R1T's 125 MPH.
Handling & Cornering Dynamics
In the tight technical sections of the Mount Fuji passes, handling is everything. The 2024 Hyundai Ioniq 5 N features a handling score of 7.5, whereas the 2024 Rivian R1T manages 5.
The 2024 Hyundai Ioniq 5 N offers surgical precision in corners, allowing for later braking and earlier power application.
Launch & Braking Efficiency
Off the line, the 2024 Hyundai Ioniq 5 N uses its 9.2 launch rating to grip and go, while the 2024 Rivian R1T relies on its 8.4 rating.
Braking from high speeds is equally critical; the 2024 Hyundai Ioniq 5 N stops with a score of 7.9, while the 2024 Rivian R1T records 5.9.
🏁 Race Scenario Breakdown
Higher top speed rating allows for sustained high-velocity overtaking.
Superior braking and handling allow for more aggressive entry and exit speeds.
Suspension travel and tire compound optimization for loose surfaces.