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Here’s how many EVs were sold in the U.S. last year by model

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Tesla remained the top electric vehicle (EV) seller in the U.S. by a wide margin in 2024, gaining almost half of the emerging market and outselling the next several models combined with its own lineup, as shown in the latest data.

Cox Automotive released its Q4 and 2024 EV sales report last week, showing estimates of how many EVs were sold by brand and model, and highlighting how many units Tesla is delivering compared to other automakers for another year in a row. Total EV sales in the U.S. grew 7.3 percent year over year, amounting to a little over 1.3 million units—of which Tesla sold 633,762, or 48.7 percent.

Tesla’s total sales amounted to more than double those of the rest of the top 10 EVs sold in 2024, a list which was comprised of vehicles from General Motors (GM), Hyundai, Ford, and Rivian.

The Model Y and Model 3 were the top two EVs sold in 2024, with 372,613 and 189,903 units, respectively, as followed by the Ford Mustang Mach-E (51,745), the Hyundai Ioniq 5 (44,400), and the Cybertruck (38,965). By comparison, Tesla’s top three models outsold the rest of the top 10 EVs, which totaled 246,882, made up of the Ford F-150 Lightning, the Honda Prologue, the Chevy Equinox, the Cadillac Lyriq, and the Rivian R1S. The rest of the industry’s EVs combined made up 667,321 units, beating out Tesla’s total sales by just 33,559 units.

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READ MORE ON U.S. EV MARKET: Tesla dominated the top 10 best-selling EVs in the U.S. in 2023

You can see nearly all the EV models sold in the U.S. below, with the Tesla Model X and Model S landing in the 15th and 24th spots, respectively.

EV models sold in the U.S. in 2024

  1. Tesla Model Y: 372,613
  2. Tesla Model 3: 189,903
  3. Ford Mustang Mach-E: 51,745
  4. Hyundai Ioniq 5: 44,400
  5. Tesla Cybertruck: 38,965
  6. Ford F-150 Lightning: 33,510
  7. Honda Prologue: 33,017
  8. Chevy Equinox EV: 28,874
  9. Cadillac Lyriq: 28,402
  10. Rivian R1S: 26,934
  11. BMW i4: 23,403
  12. Chevy Blazer EV: 23,115
  13. Kia EV9: 22,017
  14. Kia EV6: 21,715
  15. Tesla Model X: 19,855
  16. Nissan Ariya: 19,798
  17. Toyota BZ4X: 18,570
  18. Volkswagen ID.4: 17,021
  19. BMW iX: 15,383
  20. GMC Hummer Truck/SUV: 13,993
  21. Rivian EDV500/700: 13,423
  22. Ford E-Transit: 12,610
  23. Subaru Solterra: 12,447
  24. Tesla Model S: 12,426
  25. Kia Niro: 12,367
  26. Hyundai Ioniq 6: 12,264
  27. Mercedes EQE: 11,660
  28. Audi Q4 e-tron: 11,356
  29. Nissan Leaf: 11,226
  30. Rivian R1T: 11,085
  31. Lexus RZ: 9,697
  32. Mercedes EQB: 8,885
  33. BMW i5: 8,763
  34. Chevy Bolt EV/EUV: 8,627
  35. Audi Q8 e-tron: 7,936
  36. Chevy Silverado EV: 7,428
  37. Acura ZDX: 7,391
  38. Mercedes EQS: 6,963
  39. Hyundai Kona EV: 5,063
  40. Porsche Taycan: 4,747
  41. BMW i7: 3,431
  42. Jaguar I-Pace: 3,304
  43. Mini Cooper: 3,118
  44. Volvo XC40: 2,995
  45. Genesis GV70: 2,976
  46. Audi e-tron: 2,894
  47. Genesis GV60: 2,866
  48. GMC Sierra EV: 1,788
  49. Porsche Macan: 1,739
  50. Brightdrop Zevo 600/400: 1,529
  51. Volvo C40: 1,420
  52. Volkswagen ID.Buzz: 1,162
  53. Audi Q6 e-tron: 966
  54. Fiat 500e: 929
  55. Volvo EX90: 749
  56. Cadillac Escalade EV: 670
  57. Mini Countryman: 549
  58. Mercedes G-Class: 455
  59. Genesis G80: 397
  60. Jeep Wagoneer: 231
  61. Volvo EX30: 229
  62. Mercedes E-Sprinter: 191

*Additional EV Models: 27,089

*At the time of writing, Cox has not yet responded to Teslarati‘s requests for comment on which models make up this figure, or on whether the figure includes Lucid, Polestar, or other brands that were omitted from the data.

Top 10 BEV sellers in the U.S. in 2024

  1. Tesla: 633,762
  2. GM: 112,897 (including Chevy, Cadillac and GMC)
  3. Ford: 97,865
  4. Hyundai: 61,727
  5. Kia: 56,099
  6. Rivian: 51,442
  7. Honda: 33,017
  8. Nissan: 31,024
  9. Mercedes-Benz: 28,154
  10. Audi: 23,152

You can see the full Cox Automotive spreadsheet on Q4 and 2024 U.S. EV sales here.

What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

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Zach is a renewable energy reporter who has been covering electric vehicles since 2020. He grew up in Fremont, California, and he currently lives in Colorado. His work has appeared in the Chicago Tribune, KRON4 San Francisco, FOX31 Denver, InsideEVs, CleanTechnica, and many other publications. When he isn't covering Tesla or other EV companies, you can find him writing and performing music, drinking a good cup of coffee, or hanging out with his cats, Banks and Freddie. Reach out at zach@teslarati.com, find him on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

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Tesla piggybacks recent Supercharger feature with update that takes it further

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Credit: Tesla

Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.

This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.

The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.

Tesla supplements Holiday Update by sneaking in new Full Self-Driving version

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Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.

Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:

This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.

Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.

Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.

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Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.

In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.

As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.

With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.

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Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it

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Credit: TESLARATI

Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.

The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:

“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”

However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.

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I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.

The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.

Hurry Mode Results

On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:

Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.

Mad Max Results

I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.

With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:

As well as adjusting Navigation, when I received two nags:

These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.

These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.

You can watch the full drive on YouTube below:

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Tesla responds to Robotaxi skeptics with a massive move in Austin

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Credit: @AdanGuajardo/X

Tesla has responded to the skeptics of its Robotaxi program by launching a massive expansion of the unsupervised program in its initial rollout city of Austin.

The company’s geofence, the enabled area of operation for rides, now covers the entire Austin Metropolitan area, an incredible move just days after media headlines attempted to discredit the ride-hailing service.

Those who have access to the Tesla Robotaxi app on their smartphones can now request a ride in any portion of the Austin Metro area. The company confirmed this on the social media platform X:

This is Tesla’s fifth expansion of the geofence, with the others occurring in July, early August, late August, and late October 2025. It has remained at that size since October 26, but Tesla has now more than doubled that size.

It is now covering the entire area, including suburbs like Pflugerville and Manor, as well as I-35 highways, Gigafactory Texas, and the Austin-Bergstrom Airport.

The move comes just days after various media outlets highlighted the small fleet size of Tesla’s Robotaxi fleet in Austin, something that is a reasonable criticism but an understandable move on the company’s part to prioritize safety.

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Tesla expands Robotaxi geofence, but not the garage

Tesla has expanded its Robotaxi geofence many times, but its fleet has remained at a relatively conservative size as the company continues to push safety as its most crucial metric.

The latest expansion is a key indicator of Tesla’s comfort level to expand the ride-hailing service. The move shows Tesla is scaling unsupervised autonomy, as it demonstrates that the company’s Full Self-Driving system has reached sufficient reliability for a broader real-world deployment, which is something the company has worked on extensively.

It also shows Tesla is game for a competition with its rivals in the autonomous ride-hailing sector. Tesla has often matched or exceeded competitors like Waymo in coverage area, despite its smaller fleet. This step highlights Tesla’s iterative, data-driven progress toward a high-margin, app-based Robotaxi network.

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It’s not the absolute largest area expansion ever, but achieving full unsupervised operations across a major metro is a key moment in the Robotaxi story. It shifts the program from limited pilot/testing toward a more mature commercial service, while gathering the miles needed for faster growth.

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