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Tesla Model S Plaid at 50% charge pulls faster than supercars, data shows

(Credit: @klwtts/Twitter)

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During the reign of the Tesla Model S Performance, P100D, P90D, and P85D, electric car critics typically pointed out that the flagship sedan could only achieve its peak performance when the car was fully charged. Critics stated that once the top-tier Model S’ battery dropped to about 50%, drivers should expect a notable drop in performance. 

The Model S critique was one of the likely reasons why Porsche highlighted the Taycan’s capability to post consistent 0-60 mph and quarter-mile times regardless of its state of charge. Tesla decided to change the narrative with the Model S Plaid’s performance eventually. The company later noted that the flagship sedan could now post consistent performance figures even as its state of charge decreased. 

Data from drivers who have taken delivery of the Model S Plaid has since proven Tesla’s claim. But that’s not all. As per a recent video from Brooks Weisblat, from YouTube channel DragTimes, Model S Plaid with only 50% state of charge could accomplish a full quarter-mile run in the mid-9 seconds. With those results, the Model S Plaid is faster than some of the world’s best supercars today and significantly faster than the Porsche Taycan Turbo S. 

The DragTimes host was able to get Dragy data from two separate Model S Plaid owners who launched their cars in regular roads. One of the vehicles had a 98% state of charge, while the other only had 50% of its battery charged. Remarkably, the Model S Plaid posted relatively similar times. The vehicle with 98% charge completed the quarter-mile in 9.39 seconds and the car with just 50% battery finished the same run in 9.56 seconds. 

Even more notable, the Model S Plaid with 50% battery actually posted a better 0-60 mph time of 2.38 seconds than the vehicle with 98% charge, which posted a 0-60 mph time of 2.42 seconds. The trap speed of the vehicles at the quarter-mile mark was not too far apart either. The vehicle with 98% battery hit the quarter-mile mark at 152.43 mph and the Model S Plaid with 50% battery hit the same mark at 146.64 mph. 

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Being a drag racing enthusiast, Weisblat has tested some of the world’s fastest supercars on the quarter-mile. Just like the two Model S Plaid owners who posted their Dragy data, the YouTube host also tested a number of supercars on the street for their real-world performance, including the Ferrari SF90, the McLaren 765LT, the Lamborghini Huracan Evo, and the Porsche Taycan Turbo S. Each of these vehicles’ quarter-mile times were not as impressive as the Model S Plaid with 50% state of charge. 

The Ferrari SF90, for example, completed its quarter-mile in 9.64 seconds. The McLaren 765LT, one of the supercar maker’s best quarter-mile vehicles, completed the same run in 9.88 seconds. The Lamborghini Huracan EVO, on the other hand, finished the quarter-mile in 10.44 seconds, while the Porsche Taycan Turbo S completed the run in 10.39 seconds. This is an incredible achievement for the Model S Plaid, and it speaks to the vehicle’s consistent performance. 

Watch DragTmes‘ video on the Model S Plaid’s real-world quarter-mile times in the video below. 

Do you have anything to share with the Teslarati Team? We’d love to hear from you, email us at tips@teslarati.com.

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Maria--aka "M"-- is an experienced writer and book editor. She's written about several topics including health, tech, and politics. As a book editor, she's worked with authors who write Sci-Fi, Romance, and Dark Fantasy. M loves hearing from TESLARATI readers. If you have any tips or article ideas, contact her at maria@teslarati.com or via X, @Writer_01001101.

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Elon Musk

Tesla Semi finally has an FSD timeline and it’s waiting on the Cybercab

Elon Musk told investors Semi self-driving should start working by early 2027, per today’s earnings.

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During Wednesday’s’ Tesla Q2 earnings call, an analyst asked Elon Musk when Tesla would look at autonomy for the Semi. His answer set a real timeline for the first time, noting that self-driving on the Tesla Semi is expected to start working “around the end of this year or early next year”.

Musk framed the delay as a matter of priority, not capability. Tesla’s self-driving team is currently focused on Model 3, Model Y, and Cybercab, the vehicles that make up the overwhelming majority of Tesla’s fleet. Since Semi trucks on the road remain a small fraction of that total even after the recent Nevada factory ramp, Musk said it made more sense to keep the software team’s attention on what he called “the march of nines of safety” for the higher volume vehicles first. Autonomous Semi development is “taking a bit of a backseat for the next six months or so,” he said, before adding that it “will definitely be working next year and in time for the scale-up to high production of the Tesla Semi.”

Tesla Semi’s official battery capacity leaked by California regulators

The timeline lines up with what’s already been showing up on public roads. In June, a Tesla Semi was spotted in Sunnyvale wearing a full validation rig, the same rooftop sensor array Tesla mounts on vehicles ahead of an FSD milestone.

A second unit was seen near Fremont days later with a matching camera suite and lens washers. Separately, Tesla analyst Nic Cruz Patane posted video this month of the production Semi’s exterior camera array, ten AI4 based units built directly into the truck rather than added later.


Musk also gave the reason autonomy on the Semi matters in the first place, a persistent shortage of qualified truck drivers. “There is a really serious shortage of truckers,” he said on the call, framing a self-driving Semi as important both for addressing that shortage and for improving safety and comfort for the drivers running the truck today.

The timing also tracks with the Semi’s production reality. Tesla’s Q2 shareholder letter, dropped language promising the Semi would reach volume production this year. Musk pointed to 4680 battery cell output as the near-term constraint on Semi and Cybercab production. A software timeline landing in early 2027 gives Tesla’s autonomy team room to work while the hardware ramp catches up behind it.

It’s worth nothing that this isn’t necessarily a promise the Semi ships driverless next year. Musk’s own language, self-driving “working” by early 2027, describes internal validation catching up to hardware already riding on every production truck, not a public unsupervised rollout.

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Investor's Corner

Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue

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Credit: Tesla

Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.

The earnings results come after Tesla reported a massive beat on vehicle deliveries for the second quarter, delivering 489,126 vehicles and building 451,758 cars during the three-month span.

This was a major shock for those on Wall Street as they anticipated somewhere around 400,000 deliveries for the quarter, and showed Tesla still has plenty of demand for its vehicles around the world and in the U.S. despite losing the $7,500 EV Tax Credit last year.

Tesla Q2 2026 Earnings Results

  • Non-GAAP EPS – $0.33 reported vs. $0.53 expected
  • Revenues – $28.236 billion reported vs. $26.4 billion expected
  • Free Cash Flow- -$1.092B
  • Profit -$ 4.751B

Tesla (beat/missed) analyst expectations, so the market response to the company’s quarter is what we will look for next.

Tesla shares closed today down just over 1 percent, trading at $374.01.

In the past, it has been anyone’s guess with what Tesla shares will do after they report earnings. Strong quarters have resulted in sharp drops, while lackluster quarters have seen the stock shoot up considerably.

Tesla will hold its Q2 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.

You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.

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Elon Musk

Tesla is about to make parking in busy lots less stressful than ever

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Tesla FSD 14.3 [Credit: TESLARATI)
Tesla FSD 14.3 [Credit: TESLARATI)

Tesla is about to make parking in busy parking lots at businesses and other points of interest less stressful than ever by allowing drivers more control over where they park and how, CEO Elon Musk confirmed on X.

Tesla has been working to improve the parking performance of vehicles utilizing the Full Self-Driving suite, but now it is looking to add more customization, allowing drivers to choose the specific space they park in, but also potentially the orientation the car pulls into the spot:

Musk has reiterated on X twice over the past several weeks that Tesla is working to make things with the FSD suite based more on the driver’s specific preferences and behaviors that were seen in past drives.

Essentially, it sounds like if you tend to park away from a business to avoid other vehicles, Tesla FSD will soon recognize that preference of yours and start parking further away as well. Additionally, the prospect of assigned parking spaces has been something many owners have voiced concerns about.

Living in a community with assigned parking spaces makes using FSD incredibly difficult as it will rarely park in the correct spot when there are so many to choose from. This is also pertinent in work settings where there are sometimes assigned parking spaces.

The updates to Tesla’s Full Self-Driving suite in terms of listening to driver preferences with parking are also extending to routing. Tesla announced yesterday that with the release of its 2026 Summer Update, it was adding Automatic Navigation and Preferred Routes:

Tesla reveals 2026 Summer Update with crazy fixes to Nav and more

Tesla has always maintained the idea that any human input is bad input, and that, ideally, Tesla Full Self-Driving will always make the right decision. Of course, this is all in theory, but the issue is that so many of Tesla’s interventions have come because it does something that is not necessarily wrong, but perhaps not what the driver would prefer.

Taking these preferences into account will help Tesla alleviate some of the potentially unnecessary interventions that drivers perform.

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