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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 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
