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

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7 years ago

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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.

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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.”

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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 improves Dashcam playback with awesome addition

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13 hours ago

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June 2, 2026

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Image Credit: The Kilowatts/Twitter

Tesla has improved Dashcam playback with an awesome new addition, as the company has launched a web-based version that is potentially easier to navigate and operate.

The tool is available at dashcam.tesla.com and will be enabled as your vehicle receives the 2026.20 Software Version. Clips that are captured by your Tesla will be available on the Online Dashcam Clip Viewer once the files on your car’s storage drive are encrypted.

Not a Tesla App first noticed the new feature, and states that once your Tesla updates to 2026.20, the car will automatically protect the clips with an encryption key that is uniquely tied to your owner account.

The web-based viewer should be easier to operate for most. All you will do is head over to dashcam.tesla.com and log in using your account credentials.

Ensure your vehicle is updated to 2026.20 in order for the web-based viewer tool to fetch your vehicle’s saved dashcam clips.

Currently, only a small percentage of owners are updated to this, so it may be a couple of weeks until a majority of owners in the fleet are able to access this feature.

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Watching Dashcam clips on the Tesla smartphone app is quick and convenient, as they can also be easily downloaded and stored right on your smartphone.

However, the clips are sometimes tougher to navigate, and in order to get details like self-driving activation, speed, and turn signals, owners have to screen record the Tesla app and crop out the rest of the screen.

It could also be a massive storage saver as you’ll be able to download the Dashcam clips from the online viewer and save them to your laptop, desktop, a flash drive, or even an external hard drive. This will keep all your clips in one place.

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Tesla Full Self-Driving attempts 150-mile stress test: the good and the bad

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16 hours ago

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June 2, 2026

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Credit: TESLARATI

I recently took my Tesla Model Y running Full Self-Driving (Supervised) v14.3.3 over 150 miles on the Pennsylvania Turnpike in an effort to truly put the system under a stress test. There were a lot of good moments, and some bad, but overall, Full Self-Driving impressed me.

Last Thursday, I decided it was time to visit the Flight 93 National Memorial near Shanksville, PA. I go a few times a year, and it was a beautiful day. Others have taken some pretty lengthy drives using FSD, but I haven’t had the opportunity to really do something lengthy in quite a few months on an older version. I decided it was the perfect opportunity to try some things out.

I recorded the entire ride there on a GoPro, edited to highlight the crucial moments, and shared them on our social media accounts. If you want to watch them, I’ll share them throughout the piece, but I did not get to do a real breakdown of what I felt about its performance.

Overall Thoughts

I realize it is probably better to do a summation of its performance toward the end of the piece, but I feel like it is also reasonable to lead with this because I was overly impressed with how well it handled everything. The only moments where I felt a little bit of reason to touch the wheel, at least while traveling on the Turnpike and Rt. 30, were due to other drivers and their behaviors.

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I have taken many drives to the Memorial over the past several years, and although it’s not incredibly long, it is a tiring drive. It’s about five hours both ways, close to 300 miles, and I think most of the exhaustion comes from the toll of sitting in the car and then visiting something that is pretty heavy to take in.

This was the first time I’ve ever taken the ride and not felt like I needed to avoid my vehicle after I got home. In the past, I could not even think about driving after I finally arrived at my house, but this was simply different.

It was nice to have something else take the drive for me, while I still had the freedom to take over if I chose to. It made the entire trip more enjoyable.

Full Self-Driving Recognizes Lane-Ending Arrows on Road

After traveling in the fast lane for a little while, FSD noticed the arrows on the road indicating the lane was coming to an end ahead. The car was also in the process of making a pass on a slower vehicle in the middle lane, but aborted this maneuver and backed off to get behind the vehicle.

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I was really impressed by this because I thought that the car would absolutely try to make the pass, only to get in front of the other car, and then slow back down to 75 MPH:

Full Self-Driving Notices Veering Tractor Trailer, Adjusts Lane Positioning

My two rules of the road are never cruise in the fast lane and never drive next to a tractor-trailer. This clip is a perfect example as to why.

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FSD v14.3.3 recognized this tractor-trailer attempting to change lanes while we were still next to it. The car shifted its lane positioning to the shoulder slightly to make room for the merging semi, executed the pass safely, and on we went.

I will admit this one made me a little nervous, but more so because of the 18-wheeler, and not because of the Tesla:

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Full Self-Driving Follows the Rules of Tunnel Travel

Many people who are not familiar with Full Self-Driving and its capabilities are pretty limited in what they know about the really simple things it does well. Part of supervising FSD is being aware of things it might make mistakes with, and anticipating maneuvers it might want to make at the wrong time.

Entering the Blue Mountain Tunnel on the Turnpike, I was ready for FSD to attempt to get back into the right lane after making a pass on a tractor-trailer, but I was pleasantly surprised. Several signs outside the tunnel advise drivers to stay in the lane they’ve chosen while driving through the tunnel; this eliminates the possibility of an accident caused by lane changes, which would impede traffic on a crucial logistics route.

I was happy to see that Tesla Full Self-Driving v14.3.3 did not make this mistake:

Full Self-Driving Navigates Toll Plazas with Ease

I was interested to see how FSD would handle toll plazas, including the speed at which it would travel through them, and whether it would stop on the Turnpike at these booths, which have since been transitioned to a “Toll by Plate” system, which mails you a bill.

It was flawless:

Full Self-Driving Still Struggles with Parking from Time to Time

Since I took delivery in late August, I’ve never had a single instance of my Tesla struggling to park at a Supercharger. Other spots at the mall, market, or gym are another story.

This was the first time it did such a terrible job of backing into a spot. This required me to take over and manually park at another charger:

Full Self-Driving Gets Confused After Arriving at Its Destination

This was the first time I have ever experienced FSD getting confused and just circling the lot. The navigation continued to reroute to try to resolve the issue, but after four laps, I decided it was time to overtake the car’s controls and park manually:

This was a baffling behavior that I truly couldn’t explain. Other owners communicated that they have also experienced this issue.

Final Thoughts

I am so incredibly impressed by FSD that it has really made traveling stress-free. The two issues related to parking were not ideal, but to be fair, I usually take over when arriving at parking lots. However, this shortcoming is something Tesla has to make some serious progress with, because parking has truly stumped FSD at times.

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Solving that will be a major breakthrough for autonomy, but Tesla has struggled with it for some time.

All in all, FSD v14.3.3 is unbelievably accurate and handles many of the more stressful maneuvers with ease, one of them being avoiding merging traffic on highways, which was shown above.

Some things that would be great to see improvements on are parking, Speed Profiles, which are relatively tough to adjust (I stayed in Standard for the duration of this drive), and, of course, navigation.

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SpaceX’s amended S-1 is sparking a major Tesla merger conversation

A single line in SpaceX’s amended S-1 just sent Tesla stock down 5% in one day.

Published

1 day ago

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June 1, 2026

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A single line buried in SpaceX’s amended S-1 filing is doing more to move Tesla’s stock price than anything Tesla itself has announced in months. The clause, disclosed as SpaceX prepares for what could be the largest IPO in Wall Street history, states that the company “may issue a significant amount of equity in connection with future transactions.” While this may be seen as boilerplate language in S-1 filings, the historical ties between SpaceX and Tesla, and with Elon Musk reportedly discussing a possible merger with close colleagues, investors are interpreting it as something closer to a signal.

The concern among institutional investors like Gary Black, managing director of The Future Fund, pointed directly to the amended filing on X, saying it “strongly suggests more SPCX equity will be issued,” which could potentially be used to acquire Tesla. He estimated such a deal could be 28% dilutive to Tesla shareholders since SpaceX would likely command a significantly higher valuation multiple. Black added that institutional investors he knows hate the idea of a combination because they prefer pure plays over conglomerates, which he said “nearly always gravitate to the lowest common multiple.”

The Tesla and SpaceX merger everyone is talking about is quietly building

The bull case runs the math differently. Tesla influencer and retail shareholder advocate AleXandra Merz pushed back on what she called a widespread misunderstanding of how merger-of-equals deals actually work. Rather than simply splitting the difference between two market caps, a merger exchange ratio is negotiated based on relative fair market values, meaning the lower valued company typically sees its stock reprice upward toward the deal value.

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Under her model, SpaceX enters at a $2.5 trillion valuation and Tesla at $1.6 trillion, producing a combined entity worth $4.1 trillion split evenly between both shareholder groups. That implies Tesla’s side of the deal would be valued at $2.05 trillion, a gain of roughly $450 billion from its current market cap. She cited Dow-DuPont and CBS-Viacom as historical examples of how markets reprice both companies toward the announced exchange ratio after a deal is unveiled.


The SpaceX S-1 amendments also revealed just how much financial infrastructure already binds the two companies together. As Teslarati has reported, SpaceX purchased $697 million in Tesla Megapacks, $131 million in Cybertrucks, and the two companies have shared supply chain resources, and semiconductor fabrication plans since well before any merger conversation became public. A retail poll by Tesla influencer Sawyer Merritt is finding that 36% of respondents do not plan to buy SpaceX shares at IPO and 15.3% saying their decision depends on the valuation.


Whether the merger happens or not, the amended filing is seemingly moving markets and sharpened a debate that is no longer theoretical. SpaceX is weeks away from trading publicly, and Tesla shareholders are now watching every word of every filing for clues about what Musk plans to do next.

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