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Tesla Model 3 Performance drag races McLaren 570S in impressive 1/4 mile showdown

[Credit: DÆrik/YouTube]

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There is no denying that the Model 3 Performance is quick, especially considering VBOX data validating the car’s 0-60 mph acceleration figures. But the question is, would it be fast enough to beat an actual supercar on the drag strip? Perhaps, even something as daunting as a McLaren 570S?

This was something explored recently by Tesla owner-enthusiast Erik Strait, better known as the host of YouTube’s DÆrik channel. Thanks to a friendly owner in the area, Erik has been able to test out the capabilities of the Model 3 Performance, which adds dual motors and a $5,000 Performance Upgrade package to the base trim, including 20″ Performance Wheels, Michelin Pilot Sport 4S summer tires, a carbon fiber rear spoiler, aluminum alloy pedals, and a top speed boost that enables the electric car to max out at 155 mph.

Tesla lists the Model 3 Performance with a 0-60 mph time of 3.5 seconds, which is plenty fast for a high-performance midsize sedan. Erik’s tests have shown that the Model 3 Performance is actually quicker than Tesla’s estimates, with the electric car hitting 60 mph in as low as 3.18 seconds when fully charged. Nevertheless, with a McLaren 570S as its opponent, the cards are stacked against the Model 3 Performance.

McLaren’s supercars are actually embedded in the history of Tesla, with CEO Elon Musk famously buying a McLaren F1 when he made his first millions after selling Zip2, his first company. Musk would later infamously wreck his McLaren F1 in a joyride with Peter Thiel, but the supercar would hold a special place in the Tesla CEO’s heart for years to come. When Musk unveiled the Model S P85D, for example, he made it a point to highlight that the electric car’s 0-60 mph time of 3.2 seconds is comparable to the acceleration of the supercar.

The 570S is McLaren’s “baby” supercar, slightly less powerful than its flagship vehicles like the 650S but incredibly fast just the same. The 570S is equipped with a twin-turbo 3.8-liter V8 engine making 562 hp and 443 lb-ft of torque. The car is also fitted with a slick-shifting 7-speed dual-clutch automatic transmission, which helps propel the vehicle from 0-60 mph in 3.0 seconds. The 570S’ top speed of 204 mph places it beside popular supercars like the Lamborghini Huracan 610-4 Spyder and the Ferrari 488 Spider 3.9 V8 Turbo. Compared to the McLaren 570S, the Model 3 Performance appears completely outclasses, with its dual motors producing a combined 450 hp and 471 lb-ft of torque and its top speed of 155 mph.

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The Model 3 Performance dueled the McLaren 570S twice, and on both times, the electric car left the gas-powered supercar off the line. The Model 3 Performance did get the jump on the 570S to the quarter-mile mark, but stats-wise, Tesla’s electric car fell just around .2 seconds short of the supercar. The Model 3 Performance finished the quarter mile in 11.79 seconds at a speed of 115.18 mph in the first round, which was just slightly lower than the McLaren 570S’ 11.62 seconds and 124 mph. A second race rendered similar results, with the Model 3 Performance finishing the run in 11.79 seconds at 115.35 mph and the 570S completing the run in 11.58 seconds at 125.68 mph.

The Model 3 Performance is not a supercar, both in design and in function. While the McLaren 570S had bad launches on both races, the time differences between the two vehicles’ quarter-mile runs were just way too close. With stickier tires and a possible Ludicrous upgrade in the future, the Model 3 Performance could most certainly establish itself as a force to be reckoned with on the drag strip, just like its two larger siblings — the Model S P100D and the Model X P100D.

Watch the Model 3 Performance stand up to the McLaren 570S 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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SpaceX wants to catch Starship for launch 14, Elon Musk says

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Credit: SpaceX

Just hours after Starship Flight 13 achieved a successful soft splashdown of its upper stage in the Indian Ocean on July 24, Elon Musk announced an ambitious next step for the company’s next launch of the rocket.

“Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on [the] next flight,” the SpaceX CEO posted on X on Friday.

That “next flight” is expected to be Flight 14. The plan involves returning the Starship upper stage, commonly called the “ship,” to the Starbase launch tower in Texas and catching it mid-air using the same mechanical “chopsticks” arms that have already proven themselves with the Super Heavy booster.

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A successful catch would mark the first time an orbital-class upper stage has been recovered this way, advancing SpaceX’s goal of full and rapid reusability for the entire vehicle.

SpaceX has already demonstrated the tower-catch technique multiple times with Super Heavy. The first successful catch came on Flight 5 in October 2024, when Booster 12 was plucked from the sky by the Mechazilla arms. Subsequent flights, including those involving Boosters 14 and 15, repeated the feat. Several of those recovered boosters were later inspected, refurbished, and flown again, proving the system’s viability for quick turnaround.

Traditional reusable rockets, such as SpaceX’s own Falcon 9 or Blue Origin’s New Shepard, land on legs either on land or droneships. Rocket Lab has recovered its small Electron first stages by helicopter, but those are far lighter vehicles.

SpaceX Starship just nailed something it’s never done before

The China Academy of Launch Vehicle Technology (CALT), a subsidiary of the China Aerospace Science and Technology Corp. (CASC), completed a catch of its booster on July 10. They are the only entity besides SpaceX to attempt and complete the feat.

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Flight 13 provided encouraging data. The ship executed a controlled reentry, flipped, and soft-landed intact in the ocean after deploying Starlink satellites, offering the first clear post-splashdown views of an undamaged heat shield. The Super Heavy booster, meanwhile, experienced a harder splashdown in the Gulf of Mexico.

Musk has previously stressed that ship catches would only follow multiple successful soft ocean landings to minimize risk of debris over land.

If Flight 14 succeeds, SpaceX would take a major stride toward routine, rapid reuse of both stages—critical for lowering launch costs and supporting ambitious plans for lunar and Mars missions. For now, teams are reviewing the Flight 13 data. Should everything check out, the next Starship flight could deliver one of the most spectacular recoveries in aerospace history.

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Tesla to open source Model S and Model X designs and software

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Credit: Tesla

In a move echoing its earlier commitment to open innovation, Tesla CEO Elon Musk announced recently that the company plans to make the design and software of its Model S and Model X fully open source.

This follows the same approach Tesla took with its original Roadster, releasing all available design, engineering, and diagnostic materials in November 2023 so that “whatever we have, you now have.”

The Model S, introduced in 2012, was Tesla’s first mass-produced vehicle and a groundbreaking luxury electric sedan. It offered impressive range, rapid acceleration, and over-the-air software updates that redefined expectations for electric cars.

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The Model X, launched in 2015, built on that foundation as a high-performance electric SUV notable for its distinctive falcon-wing doors, spacious interior, and advanced safety features. Both models served as flagships that helped establish Tesla as a leader in the EV industry and popularized long-range battery-electric vehicles.

Production of the Model S and Model X was wound down earlier in 2026, with manufacturing ending in the second quarter. Tesla redirected the Fremont factory space previously used for these vehicles toward higher-priority projects, including Optimus humanoid robots and the Cybercab autonomous vehicle.

By the time of Musk’s open-source announcement, custom orders had closed and only remaining inventory was available.

Open-sourcing the designs and software offers several clear advantages. Owners of these aging but still capable vehicles gain better access to technical documentation, diagnostic tools, and software resources, making independent repairs and modifications easier and more affordable.

Independent repair shops and third-party specialists can support the large existing fleet without relying solely on Tesla’s service network. Enthusiasts and engineers can study real-world implementations of Tesla’s battery, powertrain, and software systems, potentially accelerating broader industry progress in electric mobility.

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The step aligns with Tesla’s 2014 patent pledge and its overall mission to advance sustainable transport by sharing hard-won knowledge rather than locking it behind proprietary walls.

By releasing these materials now that the models have left production, Tesla ensures continued support for its early adopters while freeing internal resources for future technologies. The open-source release of the original Roadster already enabled simulations, community projects, and deeper technical understanding.

Extending that practice to the Model S and Model X should deliver similar benefits on a larger scale, helping keep these influential vehicles relevant and repairable for years to come

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Tesla flexes incredible Robotaxi metric that skeptics will hate

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Credit: Tesla

Tesla flexed one incredible Robotaxi metric during the Q2 Earnings Call that skeptics have to hate to hear. The company’s platform has already driven more than 380,000 miles of unsupervised ride-hailing across several states with no notable incidents.

During the company’s Q2 Earnings Call on Wednesday, Vice President of AI, Ashok Elluswamy, said:

“First of all, I’d like to state that the Robotaxi program has been operating extremely well. Especially in terms of safety, the program has had an impeccable safety record. We have driven more than 380,000 miles of unsupervised Robotaxi, now across six cities in two different states. We have had zero notable incidents. Any reports have been of other actors impacting us when we were stationary. I like to emphasize how safe the operation has been so far. Zero notable incidents over 380,000 miles.”

Elluswamy’s claim over Robotaxi miles is a significant milestone for Tesla in the grand scheme, especially considering this is a sizeable number of miles without any incident.

Tesla’s self-driving approach is much different than that of other companies. Tesla has maintained that vision is the only thing needed to have a solid and effective self-driving suite. Many self-driving companies utilize things like LiDAR, sensors, and other elements to improve performance, but Elluswamy sent a jab at those who believe it’s needed.

“Historically, the so-called experts have always claimed that you need LiDARs, radars, HD maps, and the entire kitchen sink to drive safely. Here we show that such is not true. You can have safe, comfortable, and affordable autonomy with just cameras. This record should be a huge validation of Tesla’s entire AI approach.”

The feat of accumulating this many miles without any driver behind the wheel is impressive. The thing is, Tesla is also doing this across several different locations, with varying traffic rules, pedestrian levels, weather patterns, and other important factors.

While Tesla is not ready to roll out an unsupervised platform completely, it is a slow but steady indication that the company is well on its way to figuring things out.

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The company’s attitude toward expansion is slow, safe, and controlled, and despite this huge milestone, it will still be some time until we see Tesla truly unleash unsupervised rides more aggressively.

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