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Tesla’s S3XY range updates show how ridiculously far legacy auto has fallen in the EV race
Anyone that has followed the Tesla story over the past few years would know that one of the primary talking points against the electric car maker is the impending competition that’s coming from more experienced, more competent carmakers. Critics argued that once legacy automakers get serious in their electric car efforts, a company as inexperienced as Tesla would easily be overwhelmed. This scenario has not happened at all — and if Tesla’s recent range updates to its S3XY lineup are anything to go by, it is becoming evident that legacy auto has fallen ridiculously behind in the electric car race.
Tesla’s recent range updates, which were rolled out together with the “refresh” of the Model 3, further cemented the company’s place at the top of the EV market. With the new updates, the Model 3 Long Range Dual Motor AWD was able to hit an EPA-estimated range of 353 miles per charge, and even its heftier, heavier sibling, the Model Y, was able to achieve a range of 326 miles. The Model X, an incredibly heavy tank of a vehicle, reached 371 miles per charge, and even the power-hungry Tesla Model S Performance is nearing 400 miles at 387 miles per charge.
It should be noted that Tesla was able to accomplish these improvements without any of the big updates that it announced during Battery Day. During the highly-anticipated event, Tesla revealed its batteries’ new 4680 form factor, which has 5x the volume of the Model 3 and Model Y’s 2170 cells. Tesla also announced a new vehicle manufacturing system that prioritizes single-piece casts and a structural battery pack. Other innovations, such as the use of high-nickel cathodes and silicon anodes, were discussed as well.
None of these innovations are in Tesla’s recently-updated vehicles.
Ultimately, Tesla’s recent updates highlight just how far the company has gone ahead of the pack in the electric vehicle sector. The fact that the electric car maker was able to achieve a 371-mile range for the Model X Long Range Dual Motor AWD with the same 100 kWh battery pack and the same 18650 cells as its Model X 100D predecessor is almost ridiculous. This is especially notable considering that the Audi e-tron, which has a battery pack that’s almost the same size as the Model X, has a range of 222 miles, and that’s the variant with the improved range already.
Tesla’s lead in range becomes even more significant when one considers the Model 3 and the Model Y, both of which utilize a battery pack that pretty much tops up at 75 kWh. A comparison of the two vehicles against the competition shows a stark contrast, with the Polestar 2, a car that’s largely considered as a legitimate rival to the Model 3, having an EPA-estimated range of 233 miles from a 78 kWh battery pack. The Jaguar I-PACE, a crossover that’s pretty close in size to the Model Y, follows the same pattern, having an EPA-estimated range of 246 miles per charge from a 90 kWh battery.
There are likely numerous reasons behind Tesla’s insane lead in the electric car sector today, but a good part of it likely has a lot to do with the company’s intense focus on battery tech and development. Tesla has been focused on improving and optimizing its batteries since Day 1, and as could be seen in the recent range updates of the S3XY lineup, this obsessive pursuit of optimization matters a lot. These efforts are not emulated at all with most legacy automakers, as veterans seem typically content with using off-the-shelf batteries from suppliers for their EV programs.
Yet perhaps the most uncomfortable reason behind legacy auto’s distance from Tesla’s vehicles today is something far simpler: hubris. While legacy automakers have been stating for years that they are serious about their future shift to electric cars, their actions have largely been far less tangible than their words. Today, it is almost as if Tesla’s competitors in the EV sector were far too comfortable just watching the electric car maker improve over the years. And now that Tesla has turned into a force that’s very difficult to ignore, they are scrambling to catch up.
Unfortunately, it is very difficult to catch a moving target. By the time legacy automakers can catch up to where Tesla is today, it is almost certain that the electric car maker will be even further ahead. This distance will likely be even farther, too, as Tesla’s next-generation battery technology is yet to enter the picture. Once Tesla’s 4680 cells are in production and its vehicles are being built with structural battery packs, the gap between the electric car maker and its competitors will most definitely be even more significant. And that, at least for legacy auto, is a scenario worthy of the final act of a tragedy.
Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
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 crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
