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Tesla Model 3 Performance takes on supercars, high-performance sedans in track battle

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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.

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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.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla FSD (Supervised) v14.2.2 starts rolling out

The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.

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Credit: Grok Imagine

Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.

Key FSD v14.2.2 improvements

As noted by Not a Tesla App, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures. New Arrival Options let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.

Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.

FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.  

Key FSD v14.2.2 release notes

Full Self-Driving (Supervised) v14.2.2 includes:

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  • Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
  • Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
  • Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
  • Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
  • Added additional Speed Profile to further customize driving style preference.
  • Improved handling for static and dynamic gates.
  • Improved offsetting for road debris (e.g. tires, tree branches, boxes).
  • Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
  • Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
  • Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
  • Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
  • Camera visibility can lead to increased attention monitoring sensitivity. 

Upcoming Improvements:

  • Overall smoothness and sentience.
  • Parking spot selection and parking quality.
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Tesla is not sparing any expense in ensuring the Cybercab is safe

Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility.

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Credit: @JoeTegtmeyer/X

The Tesla Cybercab could very well be the safest taxi on the road when it is released and deployed for public use. This was, at least, hinted at by the intensive safety tests that Tesla seems to be putting the autonomous two-seater through at its Giga Texas crash test facility. 

Intensive crash tests

As per recent images from longtime Giga Texas watcher and drone operator Joe Tegtmeyer, Tesla seems to be very busy crash testing Cybercab units. Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility just before the holidays. 

Tegtmeyer’s aerial photos showed the prototypes clustered outside the factory’s testing building. Some uncovered Cybercabs showed notable damage and one even had its airbags engaged. With Cybercab production expected to start in about 130 days, it appears that Tesla is very busy ensuring that its autonomous two-seater ends up becoming the safest taxi on public roads. 

Prioritizing safety

With no human driver controls, the Cybercab demands exceptional active and passive safety systems to protect occupants in any scenario. Considering Tesla’s reputation, it is then understandable that the company seems to be sparing no expense in ensuring that the Cybercab is as safe as possible.

Tesla’s focus on safety was recently highlighted when the Cybertruck achieved a Top Safety Pick+ rating from the Insurance Institute for Highway Safety (IIHS). This was a notable victory for the Cybertruck as critics have long claimed that the vehicle will be one of, if not the, most unsafe truck on the road due to its appearance. The vehicle’s Top Safety Pick+ rating, if any, simply proved that Tesla never neglects to make its cars as safe as possible, and that definitely includes the Cybercab.

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Tesla’s Elon Musk gives timeframe for FSD’s release in UAE

Provided that Musk’s timeframe proves accurate, FSD would be able to start saturating the Middle East, starting with the UAE, next year. 

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Tesla CEO Elon Musk stated on Monday that Full Self-Driving (Supervised) could launch in the United Arab Emirates (UAE) as soon as January 2026. 

Provided that Musk’s timeframe proves accurate, FSD would be able to start saturating the Middle East, starting with the UAE, next year. 

Musk’s estimate

In a post on X, UAE-based political analyst Ahmed Sharif Al Amiri asked Musk when FSD would arrive in the country, quoting an earlier post where the CEO encouraged users to try out FSD for themselves. Musk responded directly to the analyst’s inquiry. 

“Hopefully, next month,” Musk wrote. The exchange attracted a lot of attention, with numerous X users sharing their excitement at the idea of FSD being brought to a new country. FSD (Supervised), after all, would likely allow hands-off highway driving, urban navigation, and parking under driver oversight in traffic-heavy cities such as Dubai and Abu Dhabi.

Musk’s comments about FSD’s arrival in the UAE were posted following his visit to the Middle Eastern country. Over the weekend, images were shared online of Musk meeting with UAE Defense Minister, Deputy Prime Minister, and Dubai Crown Prince HH Sheikh Hamdan bin Mohammed. Musk also posted a supportive message about the country, posting “UAE rocks!” on X.

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FSD recognition

FSD has been getting quite a lot of support from foreign media outlets. FSD (Supervised) earned high marks from Germany’s largest car magazine, Auto Bild, during a test in Berlin’s challenging urban environment. The demonstration highlighted the system’s ability to handle dense traffic, construction sites, pedestrian crossings, and narrow streets with smooth, confident decision-making.

Journalist Robin Hornig was particularly struck by FSD’s superior perception and tireless attention, stating: “Tesla FSD Supervised sees more than I do. It doesn’t get distracted and never gets tired. I like to think I’m a good driver, but I can’t match this system’s all-around vision. It’s at its best when both work together: my experience and the Tesla’s constant attention.” Only one intervention was needed when the system misread a route, showcasing its maturity while relying on vision-only sensors and over-the-air learning.

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