News
Tesla Model 3 with ‘Track Mode’ squares off against Jaguar I-PACE and MotorTrend’s top rated sports sedan
While the Model S and the Model X are monsters on the drag strip, the premium electric cars have developed a reputation for being ineffective during extended track driving. Tesla aims to shatter this perception with the Model 3 Performance, as the vehicle is designed to be the first of the company’s electric cars that is competitive on the racecourse. Tesla is even preparing a specific and aptly-named mode for the vehicle to achieve this goal — “Track Mode.”
The Tesla Model 3 Performance has been getting universally positive reviews from numerous publications, from the Wall Street Journal to Car & Driver. Reviewers have praised the vehicle for its handling and quickness, as well as its sheer fun factor when driven hard. Auto publication Road & Track even sampled the Model 3 Performance’s upcoming “Track Mode” feature, which allows the vehicle to perform impressive high-speed maneuvers on a racecourse.
Tesla’s Track Mode for the Model 3 Performance was recently put to the test by auto publication MotorTrend, which held comparative tests pitting the electric sedan against the Alfa Romeo Giulia Quadrifoglio, as well as another all-electric car, the Jaguar I-PACE EV400. The tests, which involved track testing all three vehicles by veteran race driver Randy Franklin Pobst, allowed the publication to analyze how the Model 3 Performance stacks up against a fellow track-capable EV and the best fossil fuel-powered sports sedan available today.
Needless to say, the results of the tests were very compelling.
It was easy to determine that among the three, the Jaguar I-PACE EV400 was at a disadvantage, particularly due to its 4,946-pound mass and its substantial ride height. The I-PACE’s electric motors, which produce a combined 394 horsepower, are also 22% less than the Giulia Quadrifoglio. These disadvantages were evident when the veteran driver took the electric crossover around the “Streets” of Willow Springs International Raceway in CA, as the I-PACE took 1:27.00 to complete a lap.
The difference between the track capabilities of the Model 3 Performance and the Alfa Romeo Giulia Quadrifoglio was far more difficult to call. With Track Mode enabled, the Model 3 Performance set a new record for production electric cars on the racecourse, completing the run at 1:23.90. That’s 0.07 seconds faster than one of Ford’s best track vehicles, the Mustang GT Performance Pack 2. That said, Pobst, who was driving the Model 3 Performance, noted that the vehicle was easy to understeer, and that “there’s something weird happening when I lift off the brake.” The sensation that the race driver was referring to was the Model 3 Performance’s regenerative braking, which is emphasized even more when Track Mode is enabled.
True to its reputation as the best sports sedan in the market today, the Alfa Romeo Giulia Quadrifoglio completed the lap in 1:22.78, 1.12 seconds faster than the Model 3 Performance. Pobst noted that the turbocharged V6-powered vehicle “does exactly what you expect. No surprises. Always predictable.” After two sets of hard laps, though, half of the Alfa Romeo’s Pirelli P Zero Corsa AR Asimmetrico front tires were all but gone. The Model 3 Performance’s Michelin Pilot Sport 4S tires, on the other hand, were at worst scuffed. A Tesla engineer remarked to the publication that the Model 3 Performance could match the Giulia Quadrifoglio’s time if they were willing to compromise the vehicle’s tires as well.
Ultimately, MotorTrend‘s track tests show that the Model 3 Performance, at its current state, is still not quite enough to topple the auto market’s best sports sedan. That said, Track Mode, despite being a work in progress, is a very strong baseline. The publication noted that for now, it would be wise to look at Tesla’s Track Mode for the Model 3 Performance as Version 1.0 of the feature. Once Version 2.0 is ready, then vehicles such as the Alfa Romeo Giulia Quadrifoglio would also be wise to fear Tesla’s first track-capable vehicle.
Even without Track Mode, the Tesla Model 3 Performance is already starting to win over veteran auto enthusiasts, including longtime enthusiasts of legacy carmakers like BMW. Moshen Chan, an indie app developer who has been a BMW fan for ~20 years, noted that Tesla’s electric car “absolutely outperforms anything BMW has to offer today.”
The Model 3 Performance’s Track Mode is one of the electric sedan’s most compelling features. Describing the feature in an interview with YouTube tech host Marques Brownlee, Musk likened Track Mode as an “Expert User Mode” for drivers.
“Track Mode will open up a lot of settings. You can adjust settings, and it’s kinda like an ‘Expert User Mode.’ You can sort of adjust traction control, adjust battery temperature. You can basically configure a bunch of things, and it will tell you, like ‘Hey, you know if you do this, it’s a bit risky. You’re gonna wear out your brakes sooner; you might blow a circuit.’ But like, it’ll be clear — like, you know, this is the risk you’re taking. It’s kinda like if you have a graphics card in a computer. You can go in there and change the settings, and you can overclock things,” Musk said.
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
