Comparing EV range numbers is easy on the surface, just look at the spec sheet, but a fair comparison takes a bit more than reading one number off each vehicle’s page.
Start with the same testing standard
Range figures come from standardized tests, in the US, typically an EPA rating, but manufacturers in other markets sometimes use different testing standards (like WLTP in Europe), which tend to produce higher, less real-world numbers than the EPA cycle. Comparing an EPA-rated figure to a WLTP-rated figure for a different market isn’t an apples-to-apples comparison, so make sure you’re looking at the same standard across every vehicle you’re comparing.
Look past the headline number
A few things worth checking beyond the single rated-range figure:
- Which trim or battery option the rated figure applies to, since range often varies meaningfully across trims of the same model
- Whether the figure reflects the base wheel size, since larger wheels typically reduce range somewhat
- How the vehicle’s efficiency (miles per kWh or kWh per 100 miles) compares, not just total range, since a smaller battery with better efficiency can be a genuinely comparable choice to a larger battery with worse efficiency
Think about your actual use case, not just the biggest number
The vehicle with the highest rated range isn’t automatically the best fit if your daily driving comfortably fits within a shorter-range vehicle’s capability and that vehicle costs less or charges faster. Range is one input among several, alongside price, charging speed, and how the range holds up specifically in your climate and driving style.
Check real-world reviews, not just spec sheets
Independent range tests, where reviewers actually drive a vehicle to depletion under real conditions, often tell you more about how a given EV performs in practice than the official rated figure alone, since real-world results can vary meaningfully between models even when their rated ranges look similar on paper.
💡 Tip: Our Find My EV tool lets you compare rated range and efficiency across models side by side using consistent figures.