Tesla Model S is closing in on 400 miles of range per charge. With this update, Tesla has definitively extended its lead in the EV market, putting it far ahead — at least from a range perspective — against its biggest competitors. What’s rather interesting is that the Model S’ 390-mile range is just the tip of the iceberg.
Being a constantly-innovating company, it’s difficult to put the finger on the generations of vehicles that Tesla releases. Yet one look at the company’s upcoming electric cars and one would know that its next vehicles will feature next-generation technology. The Model Y, for example, is built from the company’s experiences with the Model 3, and pictures of the all-electric crossover in the assembly line hint that its casting may be quite unique. Tesla will likely not experience as many challenges ramping the Model Y compared to its previous vehicles, and this is likely due to the company’s experience.
There’s the Semi and the Cybertruck as well, both of which are large vehicles that would otherwise require a ton of batteries to get their estimated range. Yet in the case of the Cybertruck, the vehicle will be offering over 500 miles of range for less than $70,000. How Tesla will accomplish this remains to be seen, but Global Equities Research analyst Trip Chowdhry noted that the Cybertruck is on a “completely different technology orbit” after taking a test ride in the all-electric truck at Tesla’s Fremont factory.
Some of these improvements are already coming soon. Later this year, Tesla is expected to release the Model S’ Plaid Powertrain variant, which will be track-capable and boast an insane amount of power with its tri-motor setup. Elon Musk noted recently on Twitter that the Plaid Model S has “absurd” performance, though the electric car maker will ensure that the vehicle still gets enough range. This comment may seem like a typical Elon Musk update, but it shows a lot about Tesla’s experience as a veteran electric car maker.
Making an electric car is not easy. Making a great electric car is twice as difficult. This is something that veteran automakers are now learning, with each vehicle that they release. Premium EVs seem to be the ones learning this lesson the hardest, especially as otherwise great cars like the Audi e-tron and the Jaguar I-PACE end up being bogged down by issues such as range. Yet among carmakers and “Tesla Killers” that have come out, the Porsche Taycan seems to be the best example of this experience gap.
The Porsche Taycan is a beautifully-designed electric sports car, and it works like one. It’s top-tier variant, the $185,000 Taycan Turbo S, is arguably the only vehicle that can beat a Raven Model S Performance on the drag strip fair and square. Yet for all its speed and power, the Taycan suffers from poor efficiency, as evidenced by the Turbo S’ 192-mile EPA rated range. Granted, tests from motoring publication Car and Driver suggest that the Taycan’s range is more tuned for Autobahn driving, but the gap between the vehicle and the Model S is very evident. This becomes even more notable when one considers that both cars’ battery packs are similarly-sized.
The Model S’ Long Range Plus update means that through incremental improvements on electric car batteries, Tesla is now able to draw out 390 miles out of a 100 kWh pack. That’s just about 20 miles short of Rivian’s 400-mile trucks, and those vehicles are equipped with a 180 kWh battery pack. This matters a lot, and this is a benchmark that will probably take a few years to beat.
During Porsche’s Annual Press Conference last year, the company’s executives focused a lot of their discussions on the Taycan, whose development represented a multi-billion-dollar initiative for the company. Following the main conference, I was fortunate enough to be part of a group of reporters who were able to get a brief Q&A session with Porsche Board Member for Sales and Marketing Detlev Von Platen. When it was my turn to ask a question, I inquired about Porsche’s strategy about the Taycan’s range, and how the company plans to prevent the vehicle from being the electric equivalent of a gas guzzler.
The Board Member’s response did not directly address my inquiry, though he did emphasize that Porsche is no neophyte with battery tech due to its efforts with high-performance hybrid sports cars like the 918 Spyder. This is a fair point to make, of course, though looking at the Taycan’s range, it appears that the company still needs a few more iterations of its flagship electric car before it can expertly balance performance and range in a pure EV. The Tesla Model S Plaid is coming to establish itself as the undisputed king of consumer EVs, after all. If Elon Musk’s words are any indication, it would be a triple-motor monster with frighteningly quick acceleration and a range that’s still close to 400 miles.
That’s going to be a far tougher rival than the Tesla Model S Performance.
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
