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Tesla Model 3 Performance endures 31 hard launches with no throttling
The Tesla Model 3 could be considered as the electric car maker’s endurance champion in its current lineup. Not quite as quick as a Model S or Model X Performance in Ludicrous Plus Mode but capable of being driven hard for extended periods in a racetrack, the Model 3 Performance is a vehicle that has charmed even the staunchest gearheads of motoring media. Top Gear host Chris Harris, for one, described the Model 3 Performance as an “AK-47 disguised as a butter knife” during his review of the vehicle, which he found to be too plain in design compared to comparable ICE cars like the BMW M3. It should be noted that after his review, Harris noted on Twitter that he will be buying a Model 3 Performance for himself soon.
The Model 3’s endurance, both on the track and the highway, has been tested and proven by professionals and enthusiasts alike. Tesla and electric vehicle veteran Bjorn Nyland tested the Model 3 in the Autobahn last June, going flat at full speed in an attempt to overheat the car. He failed. The same is true for other reviewers such as Harris, who pitted the Model 3 Performance against the BMW M3-beating Alfa Romeo Giulia Quadrifoglio in a time attack battle. True to Elon Musk’s statements on Twitter, the Model 3 Performance, thanks to its instant torque that allows the vehicle to launch from 0-60 mph in 3.2 seconds, soundly beat the Giulia Q4 in a closed circuit.
Last week, Porsche made headlines when the company allowed Fifth Gear and Fully Charged host Jonny Smith to take one of its Taycan Turbo pre-production vehicles for a launch mode repeatability test. Conducted on an empty airfield, the test involved the EV veteran launching the Taycan Turbo at max power 26 times with no power throttling. The exhibition was impressive, and it invoked just how much work Porsche has put into the Taycan and its development. The Taycan’s feat also brought comparisons to Tesla’s Model S P100D, which was quicker off the line with its 0-60 mph time of 2.4 seconds, but is prone to limiting its power after multiple max power launches.
After watching the Taycan’s demonstration, Tesla owner Patrick Lawson opted to see if his vehicle, a Tesla Model 3 Performance, could accomplish multiple max power launches without losing power as well. Accompanied by his son, Lawson headed to a (mostly) empty stretch of road to test the endurance of his Model 3. In a message to Teslarati, the Tesla owner noted that with Track Mode on, he figured that his vehicle should be able to perform comparably to the Taycan.
By the 10th 0-60 mph test, Lawson noted that he was already feeling the effects of the Model 3’s multiple hard launches. The father and son duo continued over the next 30 minutes, hitting 31 consecutive launches in the Model 3. At that point, Lawson noted that his son was probably good for about 10 more launches, but that was about all he could handle. Interestingly, the Model 3 Performance, just like the Porsche Taycan Turbo, did not throttle its power at all. The 31st launch registered a 0-60 mph time of 3.11 seconds, which is in the same territory as the Taycan Turbo.
Granted, Lawson’s test did not involve the same parameters as Fully Charged’s test of Porsche’s all-electric car. The Taycan Turbo, for one, performed 26 runs that topped up at speeds of 200 kph (124 mph), while Lawson’s Model 3 Performance test only involved 31 0-60/0-70 mph runs. Nevertheless, it should be noted that the Tesla owner’s tests were conducted on a public road in the United States, which usually have speed limits of around 60-70 mph.
The Tesla Model 3 could be considered, in more ways than one, as a Trojan Horse of sorts. While the vehicle is considered as the “cheaper” Tesla (and this is accurate, of course), and while the vehicle experienced a notable period of anti-selling by the company, the electric car has been showing signs that there is more to it than meets the eye. With track capability and a price point that is notably more affordable than other premium EVs in the market, the Model 3 will likely be the vehicle that ultimately brings electric cars into the mainstream.
Watch Partick Lawson and his son’s Tesla Model 3 Performance 31-launch endurance test in the video below.
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
