News
Tesla Model 3 Performance takes on supercars, high-performance sedans in track battle
When Elon Musk first announced the specs of the Tesla Model 3 Performance, he noted that the electric car would beat anything on its class inside a closed circuit. With its dual motors that produced a combined 450 hp and 471 lb-ft of torque, its 0-60 mph time of 3.5 seconds, and its top speed of 155 mph, Musk noted that the top variant of the Model 3 would cost roughly the same as a BMW M3, but be “15% quicker and with better handling.”
It should be noted that Musk mentioned the Model 3 Performance’s comparison with the BMW M3 at a time when Tesla was yet to reveal that it was developing a dedicated Track Mode for the electric sedan. With Track Mode, which optimizes the car for intensive closed circuit driving, the Model 3 Performance becomes a very formidable car on the racetrack. Over the past months, videos of the Model 3 Performance that have been shared online have mostly featured the vehicle competing in drag races or going around race tracks on its own. Rarely has there been a test of the car competing on a closed circuit against other high-performance vehicles.
That is, until recently, when Chinese auto group Know the Car (credit to Tesla community member JayinShanghai for sharing the video) opted to test the Model 3 Performance against several notable competitors. The group selected three groups of vehicles that would compete against the electric car — Chinese-made EVs, the NIO ES8 and the BYD唐DM; high-performance sedans, the BMW M3 and the Mercedes-AMG C63; and supercars, the Nissan GT-R and the Ferrari 488 GTB.
The tests were conducted at the Goldenport Park Circuit in Beijing, China in -5°C (23°F) weather. In its first test, the group opted to test the Model 3 Performance’s acceleration. Thanks to the instant torque from its dual electric motors, the electric sedan soundly dominated its competitors. After beating the competition on the straight line test, the group opted to call a professional driver to see just how well the Model 3 Performance stacked up against the six other vehicles on the track.
It should be noted that Beijing’s Goldenport Park Circuit is a location that is known to favor cornering and technical driving over high-speed, straight-line acceleration. Thus, during the tests, the Model 3 Performance, with its Track Mode enabled, was driven hard from one corner to the other. When the track times of the six vehicles were compared, it became evident that Elon Musk’s words about the electric car were accurate.
At the bottom of the rankings were the two Chinese-made EVs, which is understandable considering that the NIO ES8 and the BYD唐DM were SUVs. Immediately following the two EVs was the BMW M3, which was able to complete a lap around the track in 01:22.67. The Mercedes-AMG C 63 fared better than the M3, finishing a lap in 01:20.23. True to Elon Musk’s words, the Tesla Model 3 Performance dominated its class, with its lap time of 01:18.62.
Only two vehicles proved faster than the Model 3 Performance around the track — the Ferrari 488 GTB, which finished a lap in 01:16.31, and the Nissan GT-R, which completed a lap in 01:15.23. As noted by the group that conducted the test, the Model 3 Performance was ultimately outgunned only by vehicles that are beyond its class and its price range (credit to David Jao for the translation).
“The data doesn’t lie. China’s new electric entrants compared to the Model 3 are still far behind. The cars that we previously worshipped as high-end sedans, regretfully defeated. Only the supercars, costing 3-5 times the Model 3 remain to defend the honor of the internal combustion engine (ICE). So the appearance of the Model 3 brings forth a new kind of performance — cheaper, quieter, and even faster.”
The group’s statement about the prices of the Model 3’s rivals in the Chinese market is no exaggeration. Tesla lists the Model 3 Performance with a price of 560,000 RMB (around $81,000) for the Chinese market. While higher than its $64,000 price in the United States, the Model 3 Performance is still considerably more affordable than its rival high-performance sedans in the country. The BMW M3, for one, sells for 998,000 RMB ($162,000), while the Mercedes-AMG C 63 Coupe costs 1,198,000 RMB ($173,623). With its price in the Chinese market, Tesla all but made the Model 3 Performance as the ultimate bang-for-your-buck high-performance sedan — quicker, cleaner, and cheaper than the competition.
Watch the Tesla Model 3 Performance battle local high-performance sedans and supercars on the track in the video below.
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
