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The Tesla Model S Plaid’s most shocking upgrade is being hidden in plain sight

Credit: Tesla

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Tesla did not waste any time highlighting the Model S Plaid’s killer metric: 0-60 mph in 1.99 seconds. This figure, which can be attained on a prepped drag strip as per MotorTrend‘s formal tests, has effectively dominated news about the flagship sedan — so much so that some of the vehicle’s other notable capabilities have been overshadowed. Among these are its 60-130 mph time, which is arguably the Model S Plaid’s true killer metric. 

What has to be said is that the Model S Plaid is a car that continues to pull really strongly far beyond 60 mph. This could be experienced in the vehicle’s acceleration and power at higher speeds. Tests of the Tesla Model S Plaid have revealed that the flagship sedan could go from 60-130 mph in 4.71 seconds. This is undoubtedly impressive on its own, but when one compares this to the 60-130 mph performance of some of the world’s best supercars and electric cars, one could see just how far Tesla has gone with the Model S Plaid. 

Credit: Tesla

A stock McLaren 765LT, arguably one of the best supercars today, goes from 60-130 mph in 4.76 seconds. The McLaren P1, one of the “Holy Trinity” of hypercars, does the same in 4.8 seconds. The Ferrari SF90 accelerates from 60-130 mph in 4.97 seconds, while the Ferrari LaFerrari, another one of the hypercar “Holy Trinity,” achieves the same feat in about 5 seconds. These numbers, however, are not the most shocking part of the Model S Plaid’s 60-130 mph performance. 

The Model S Raven Performance, Tesla’s previous quickest sedan, takes a whopping 9.4 seconds to go from 60-130 mph as per Car and Driver‘s tests. As noted by Tesla community member u/cookingboy at the r/TeslaMotors subreddit, this was one of the reasons why the Model S had been criticized in the past as a “one-trick pony.” The Raven Performance may go from 0-60 mph in a ludicrous 2.3 seconds, but after achieving highway speeds, its power tapers off. 

This could be seen in the Model S Raven Performance’s drag races against the Porsche Taycan Turbo S, a vehicle with a two-speed transmission that achieves 60-130 mph in 8.1 seconds. Races between the Model S Raven Performance and the Taycan Turbo S usually ended up going down to drivers’ reaction times, though the Tesla tended to either lose its lead or fall back further as the race went on and higher speeds are achieved. 

Credit: DragTimes/YouTube

This would not be happening with the Model S Plaid. Looking at the vehicle’s 4.71-second 60-130 mph capability, it seems safe to state that Tesla, in its continued pursuit to improve its flagship sedan, effectively made the Model S Plaid twice as quick at 60-130 mph as its previously quickest Model S. Interestingly enough, the Model S Plaid’s high-speed capabilities are rarely highlighted by the company, perhaps because its 1.99-second 0-60 mph time is a more compelling metric. 

What is truly remarkable with the Model S Plaid’s 60-130 mph time is that Tesla was able to achieve these figures through its own means. Porsche was able to provide the Taycan Turbo S with amazing high-speed performance using a two-speed gearbox, a mark of its pedigree as a veteran sports car maker. Tesla, on the other hand, was able to attain the Model S’ unearthly metrics using carbon-wrapped electric motors and continued improvements to its battery tech, highlighting its roots in tech and Elon Musk’s physics-heavy background. 

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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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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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