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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 Summon got insanely good in FSD v14.3.2 — Navigation? Not so much

There were two new lines of improvements in the release notes: one addressing Actually Smart Summon (ASS), and another that now allows drivers to choose a reason for an intervention via a small menu during disengagement.

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(Photo: Hector Perez/YouTube)

Tesla Full Self-Driving v14.3.2 began rolling out to some owners earlier this week, and there are some notable improvements that came with this update.

There were two new lines of improvements in the release notes: one addressing Actually Smart Summon (ASS), and another that now allows drivers to choose a reason for an intervention via a small menu during disengagement.

Overall operation saw a handful of slight improvements, especially with parking performance, which has been the most notable difference with the arrival of FSD v14.3. However, there are still some very notable shortcomings, most notably with region-specific signage and navigation.

Tesla Assisted Smart Summon (ASS) improvements

There are noticeable improvements to ASS operation, which has definitely been inconsistent in terms of performance. Tesla wrote in the release notes for v14.3.2:

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“Unified the model between Actually Smart Summon, FSD, and Robotaxi for more capable and reliable behavior.”

As recently as this month, I used Summon with no success. It had pulled around the parking lot I was in incorrectly, leaving the range at which Summon can be operated and losing a signal while moving in the middle of the lot.

This caused me to sprint across the lot to retrieve the vehicle:

Unfortunately, Summon was not dependable or accurate enough to use regularly. It appears Tesla might have bridged the gap needed to make it an effective feature, as two tests in parking lots proved that Summon was more responsive and faster to navigate to the location chosen.

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It also did so without hesitation, confidently, and at a comfortable speed. I was able to test it twice at different distances:

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I plan to test this more thoroughly and regularly through the next few weeks, and I avoided using it in a congested parking lot initially because I have not had overwhelming success with Summon in the past. I wanted to set a low baseline for it to see if it could simply pull up to the place I pinned in the Tesla app.

It was two for two, which is a big improvement because I don’t think I ever had successful Summon attempts back-to-back. It just seems more confident than ever before.

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New Disengagement Categories

This is a really good idea from Tesla, but there are some issues with it. The categories you can select are Critical, Comfort, Preference, and Other.

I think the reasons why people choose to take over would be a better way to prompt drivers, like, “Traveling Too Fast,” “Incorrect Maneuver,” “Navigation Error,” would be more beneficial.

I say this because it seems that how we each categorize things might be different. For example, I shared a video of an intervention because the car had navigated to an exit to a parking lot and put its left blinker on, despite left turns not being allowed there.

I disengaged and chose Critical as the reason; it’s not a comfort issue, it’s not a preference, it’s quite literally an illegal turn, and it’s also dangerous because it cuts across several lanes of traffic and is 180 degrees.

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Some said I should not have labeled this as Critical, but that’s the description I best characterized the disengagement as.

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Categorizing interventions is a good thing, but it’s kind of hard to determine how to label them correctly.

Inconsistency with Regional Traffic Patterns

Tesla Full Self-Driving is pretty inconsistent with how it handles regional or local traffic patterns and road rules. The most frequent example I like to use is that of the “Except Right Turn” stop sign, which has become a notorious sighting on our social media platforms.

In the initial rollout of v14.3, my Model Y successfully navigated through one of these stop signs with no issues. However, testing at two of these stop signs yesterday proved it is still not sure how to read signs and navigate through them properly.

Off camera, I approached another one of these signs and felt the car coming to a stop, so I nudged it forward with the accelerator pedal pressed.

This helped the car go through the sign without stopping, but I could feel the bucking of the vehicle as the car really wanted to stop.

Musk said on the earnings call earlier this week that unsupervised FSD would probably be available in some regions before others, including a state-to-state basis in the U.S.

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“It’s difficult to release this like to everyone everywhere all at once because we do want to make sure that they’re not unique situations in a city that particularly complex intersection or — actually, they tend to be places where people get into accidents a lot because they’re just — perhaps there’s — and like I said, an unsafe intersection or bad road markings or a lot of weather challenges. So I think we would release unsupervised gradually to the customer fleet as we feel like a particular geography is confirmed to be safe.”

This could be one of those examples that Tesla just has to figure out.

Highway Operation

Full Self-Driving is already pretty good at routine roadway navigation, so I don’t have too much to report here.

However, I was happy with FSD’s decision-making at several points, including its choice not to pass a slightly slower car and remain in the right lane as we approached the off-ramp:

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Better Maneuvering at Stop Signs

Many FSD users report some strange operations at stop signs, especially four-way intersections where there is a stop sign and a line on the road, and they’re not even with one another.

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I experienced this quite frequently and found that FSD would actually double stop: once at the stop sign and again at the line.

This created some interesting scenarios for me and I had many cars honk at me when the second stop would happen. Other vehicles that had waved me on to proceed through the intersection would become frustrated at the second stop.

FSD seems to have worked through this particular maneuver:

FSD should know to go to the more appropriate location (whichever provides better visibility), and proceed when it is the car’s turn to move. The double stop really ruined the flow of traffic at times and generally caused some frustration from other drivers.

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Tesla plans to resolve its angriest bunch of owners: here’s how

Since the rollout of the AI4 chip in Tesla vehicles, owners with the last generation self-driving chip, known as Hardware 3, have been persistent in their quest for a solution to their issue: they were told their cars were capable of unsupervised Full Self-Driving. It turns out the cars are not.

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tesla-asia-model-3
Credit: Tesla Asia/Twitter

Tesla has a plan to make Hardware 3 owners whole after CEO Elon Musk admitted that those with that self-driving chip in their cars will not have access to unsupervised Full Self-Driving.

The company’s strategy is so crazy that it is sort of hard to believe.

Since the rollout of the AI4 chip in Tesla vehicles, owners with the last generation self-driving chip, known as Hardware 3, have been persistent in their quest for a solution to their issue: they were told their cars were capable of unsupervised Full Self-Driving. It turns out the cars are not.

During the Tesla Q1 earnings call on Wednesday, Musk finally clarified what the company’s plans are for Hardware 3 owners, what they will be offered, and what Tesla will have to do internally to prepare for it.

The answer was somewhat mind-boggling.

Musk said:

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“Unfortunately, Hardware 3 — I wish it were otherwise, but Hardware 3 simply does not have the capability to achieve unsupervised FSD. We did think at one point it would have that, but relative to Hardware 4, it has only 1/8 of the memory bandwidth of Hardware 4. And memory bandwidth is one of the key elements needed for unsupervised FSD.”

He continued, stating that HW3 owners would have the opportunity to trade their cars in at a discounted rate in order to get the AI4 chip:

“So for customers that have bought FSD, what we’re offering is essentially a trade-in — like a discounted trade-in for cars that have AI4 hardware, and we’ll also be offering the ability to upgrade the car, to replace the computer. And you also need to replace the cameras, unfortunately, to go to Hardware 4.”

Obviously, Tesla has a lot of people to work with and make this whole thing right. Musk was adamant that HW3 would be capable of FSD, and now that the company has finally admitted that it is not, there are some things that could come of this.

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There has been open talk about some sort of class action lawsuit against Tesla. The promises that Tesla made previously could be considered a breach of contract or even false advertising, and that’s according to Grok, Musk’s own AI program.

Musk went on to say that Tesla would likely have to establish new microfactories to effectively and efficiently replace HW3 computers and cameras:

…So to do this efficiently, we’re going to have to set up, like kind of micro factories or small factories in major metropolitan areas in order to do it efficiently. Because if it’s done just at the service center, it is extremely slow to do so and inefficient. So we basically need like many production lines to make the change.”

This is going to be an extremely costly process, especially if Tesla has to buy real estate, properties, and equipment to complete this work. Additionally, there was no wording on pricing, but Musk never said it would be free. It will likely come with some kind of price tag, and HW3 owners, after being left hanging for so long, will have something to say about that.

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SpaceX just got pulled into the biggest Weapons Program in U.S. history

SpaceX joins the Golden Dome software group, deepening its role in America’s most expensive defense program.

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US Golden Dome space defense system (Concept render by Grok)

SpaceX has joined a nine-company group developing the core operating software for the Golden Dome, America’s next-generation missile defense system. According to a Bloomberg report, SpaceX is focused on integrating satellite communications for military operations and is working alongside eight other defense and artificial intelligence companies, including Anduril Industries, Palantir Technologies, and Aalyria Technologies, to build software connecting missile defense capabilities.

The Golden Dome concept dates back to President Trump’s 2024 campaign, and on January 27, 2025, he signed an executive order directing the U.S. Armed Forces to construct the system before the end of his term. The system is planned to employ a constellation of thousands of satellites equipped with interceptors, with data centers in space providing automated control through an AI network.

FCC accepts SpaceX filing for 1 million orbital data center plan

Space Force Gen. Michael Guetlein, director of the Golden Dome initiative, has described the software layer as a “glue layer” that would enable officers to manage and control radars, sensors, and missile batteries across services. The consortium is aiming to test the platform this summer.

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Trump selected a design in May 2025 with a $175 billion price tag, expected to be operational by the end of his term in 2029, though the Congressional Budget Office projected the cost could reach $831 billion over two decades.

The Golden Dome role is only the latest in a string of military wins for SpaceX. As Teslarati reported, the U.S. Space Force awarded SpaceX a $178.5 million task order on April 1, 2026 to launch missile tracking satellites for the Space Development Agency, covering two Falcon 9 launches beginning in Q3 2027. That came on top of more than $22 billion in government contracts held by SpaceX as of 2024, per CEO Gwynne Shotwell, spanning NASA resupply missions, classified intelligence satellites through its Starshield program, and military broadband.

The accumulation of defense contracts, now including a seat at the table on the most expensive weapons program in U.S. history, positions SpaceX as the dominant infrastructure provider for American national security in space. With a SpaceX IPO still on the horizon, each new contract adds weight to what is already one of the most consequential companies in aerospace history, raising real questions about how much of America’s defense architecture will depend on a single private operator before it ever trades publicly.

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