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Op-Ed: How the new Tesla Model Y became China’s best-selling car in March
With just a few weeks’ worth of local deliveries, the new Tesla Model Y saw enough consumer interest in China to make it a best-seller.
Recent news from China has revealed that the country’s best-selling car in March 2025 is also one of its newest. Despite deliveries in the country being ongoing for only a few weeks, the new Tesla Model Y ended March as the country’s best-selling vehicle.
In this article, we explore how the new Model Y was able to accomplish this feat despite its recent deliveries, as well as the reasons why the all-electric crossover was able to beat rivals from Chinese New Energy Vehicle (NEV) giant BYD.
The New Model Y’s Domination
Rankings from China last month indicate that Tesla was able to sell 43,370 new Model Y units in March 2025. This was despite the revamped all-electric crossover only starting domestic deliveries in late February. This means with just a few weeks’ worth of local deliveries, the new Model Y saw enough consumer interest to make it a best-seller.
A BYD Comparison
Skeptics might find it difficult to rationalize how a vehicle that sold 43,370 units became China’s best-selling car in March, especially since local automaker BYD sold far more new energy vehicles during the month. As per BYD, it sold a total of 395,091 units in March, though this is comprised of battery electric vehicles, plug-in hybrids, and commercial vehicles across its multiple brands.
As noted in a CNEV Post report, BYD’s top seller in March 2025 was its Song family of vehicles, which sold 96,087 units. The Song family is comprised of the Song L EV, Song L DM-i, and Song Pro DM-i of the Dynasty series, as well as the Song Plus EV and Song Plus DM-i of the Ocean series.
BYD’s second-best-selling vehicle is the Qin family, which sold 58,383 units in March. The Qin family includes the Qin Plus DM-i, Qin Plus EV, and the Qin L EV. In third place is the Seal family, which sold 44,563 units during the month. The BYD Seal family is comprised of vehicles like the Seal sedan, Seal 06 GT hatchback, Seal 07 DM-i, Seal 06 DM-i, and Seal U SUV.
Advantages of a Limited Lineup
Looking at BYD’s results in March, it is difficult not to be impressed by the Chinese automaker’s numbers. However, due to BYD’s immense vehicle lineup, such as the Song family comprising several models, each model’s raw sales numbers were lower than the new Model Y’s 43,370 units in March.
This is quite the advantage for Tesla’s lineup. Since Gigafactory Shanghai only produces the Model 3 and Model Y, the domestic sales of both vehicles are very concentrated. This may also be one of the reasons why the new Model Y’s sales in March proved enough to make the vehicle into China’s best-selling car, even if Giga Shanghai is still ramping its production of the all-electric crossover.
Just a Good Car
While Elon Musk’s political nature and close ties with U.S. President Donald Trump may play some role in Tesla’s sales in the United States and Europe, his political views may not be a factor at all for a good number of car buyers in China, which also happens to be the world’s largest electric vehicle market.
In China, at least, it appears that the Model Y is a popular choice for consumers simply because it is a vehicle that presents excellent value for its price. That’s a difficult combination to beat, even for BYD, which is currently China’s undisputed king of the NEV market.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla launched the all-electric, steering wheel-less, and pedal-less Cybercab last night at a quiet and small event in downtown Austin, Texas.
The launch, which marked the beginning of unsupervised ride-hailing for Tesla’s Robotaxi platform with Cybercab, has already caught the attention of the National Highway Traffic Safety Administration (NHTSA) who has more questions.
NHTSA opened an Audit Query (AQ) into the Cybercab’s Federal Motor Vehicle Safety Standards (FMVSS) certification that Tesla gave the vehicle. Manufacturers self-certify vehicles much of the time to avoid excessive regulatory delays.
Tesla Cybercab interior, note the lack of steering wheel and pedals. (Credit: @niccruzpatane/X< /a>)
However, the agency needs more information; it said in a summary:
“On September 3, 2026, Tesla began commercial deployment with a small number of its Cybercab vehicles in Austin, Texas. Tesla notified the Agency that it certified those Cybercab vehicles as compliant with all applicable Federal Motor Vehicle Safety Standards (FMVSS). Tesla also notified the Agency that it plans to gradually expand commercial deployment of the Cybercab to include additional vehicles and locations.”
It also went on to state that the Cybercab lacks traditional automotive controls, which is a groundbreaking move. The process is entirely new to the NHTSA, which gives the agency some leverage to put Tesla’s launch under a microscope:
“The vehicles lack permanently attached, conventional manual controls, such as a brake pedal, gas pedal, steering wheel, and mirrors. NHTSA is opening this AQ to examine the process and technical data on which Tesla relied when certifying the Cybercab and related issues. Among other things, NHTSA will consider the extent to which Tesla’s certification depended on determinations that certain FMVSS are inapplicable to the Cybercab.”
Tesla has added 45 Cybercab units to its fleet of Robotaxi-enabled cars in Austin, according to public documents the company submitted to the State of Texas over the past week. Enabling this level of self-driving is something Tesla has worked toward for many years, and now that it is finally here, it seems more than reasonable that regulatory agencies will have some questions.
Many outlets might try to frame this as a negative, but it is truly an agency looking to gain more information about groundbreaking tech that Tesla has been developing for years.
In an effort to keep riders, pedestrians, and property safe, any and all data accumulated from these first days, weeks, and months of rides will likely be shared with the NHTSA to enable broader rollout strategies across the United States and more in the future.
Tesla Robotaxi will be a 24/7 service: here’s when
Tesla Full Self-Driving will now overtake manual driving to avoid disaster
