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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.

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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.

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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Elon Musk

Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration

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Credit: CNBC

Tesla has finally clarified the situation regarding the viral crash in Texas where a Model 3 slammed into a home.

CEO Elon Musk replied to reports on Monday that stated the crash was due to the company’s Full Self-Driving or Autopilot suite, which seemed unlikely to those who are familiar with it. Video showed the car slamming into a house at an excessive rate of speed, making it highly unlikely the crash was due to the suite’s operation, as it does not travel at those speeds in residential areas.

Musk said:

“This makes no sense. FSD drives slowly through neighborhood streets, and this was a high-speed crash!”

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Tesla’s Head of AI, Ashok Elluswamy, added context, revealing that the company’s data shows the driver “manually overrode self-driving by pressing the accelerator all the way to 100%.”

He revealed the speed reached by the car was 73 MPH, and the accelerator was still pressed “even after the crash.”

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Authorities are reportedly investigating “whether Tesla’s Autopilot system played a role after a Model 3 left the roadway…slammed through a brick house at high speed and fatally struck Matha Avila as she sat inside,” the New York Post reported.

The National Highway Traffic Safety Administration (NHTSA) is now investigating the crash. Tesla will work with the agency to provide them with whatever information they need in order to clarify the cause of the crash.

Similarly, Tesla had claims of a fatal accident in Harris County, Texas, a few years ago. Early reports indicated that Full Self-Driving was the cause of the crash. After the National Transportation Safety Board (NTSB) worked with Tesla, the agency proved there was “no use of the Autopilot system at any time during this ownership period of the vehicle, including the time frame up to the last transmitted timestamp on April 17, 2021.”

Tesla alleged “driverless” crash in Texas: What is known so far

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“Application of the accelerator pedal was found to be as high as 98.8 percent,” the NTSB said in their findings. The highest recorded speed in the five seconds leading up to the impact was 67 miles per hour. The area where the crash occurred is residential, and Texas State laws have default speed limits of 30 MPH in residential streets.

This appears to be a similar situation. However, an investigation will prove what happened for sure.

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Investor's Corner

SpaceX makes $20 billion move to optimize its balance sheet

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Credit: SpaceX

SpaceX announced today that it commenced its first-ever public bond offering, marking a significant step in the newly public company’s capital markets strategy.

The company announced an offering of senior unsecured notes expected to raise at least $20 billion.

The move comes just a short time after SpaceX completed one of the largest initial public offerings in history. In mid-June, the company priced shares at $135 and raised more than $85 billion, propelling founder Elon Musk’s net worth past the trillion-dollar mark and giving the firm substantial liquidity.

According to the company’s SEC filing, the net proceeds from the notes will be used primarily to repay in full the outstanding borrowings under its existing bridge loan facility, cover related fees and expenses, and fund general corporate purposes. The offering is being conducted under Rule 144A, as well as Regulation S, targeting qualified institutional buyers and non-U.S. investors. Notes will be unsecured obligations ranking equally with other unsubordinated debt.

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The $20 billion bridge loan was used to refinance approximately $17.5 billion in higher-cost “junk” debt tied to X and xAI. SpaceX had merged with xAI in February 2026 in an all-stock deal. The bridge facility, which matures in September 2027, had represented the bulk of SpaceX’s long-term debt.

SpaceX officially acquires xAI, merging rockets with AI expertise

In connection with the bond launch, SpaceX disclosed it held approximately $100.8 billion in cash and cash equivalents as of June 19. Investor calls began on the announcement date, with pricing and launch expected shortly thereafter. Rating agencies have assigned investment-grade ratings to the proposed bonds, reflecting confidence in SpaceX’s dominant position in commercial launches and the growth trajectory of its Starlink internet offering.

The debt raise also allows SpaceX to optimize its balance sheet by replacing short-term, higher-cost bridge financing with longer-date, lower-cost fixed-income securities. This provides greater financial flexibility to support capital-intensive initiatives, including the development of Starship, the expansion of the Starlink constellation, and the integration of AI capabilities following the xAI combination.

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SpaceX shares (NASDAQ: SPCX) fell sharply on the news, dropping over 16 percent overall on the market on Monday. The stock had surged initially after debuting but pulled back amid profit-taking and broader market dynamics.

Overall, the bond offering underscores SpaceX’s transition to a mature public company with access to diverse funding sources. It positions the firm to pursue its long-term vision of multiplanetary expansion and AI infrastructure, while maintaining a disciplined approach to its capital structure in a high-growth but capital-heavy industry.

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Elon Musk

SpaceX confirms third massive compute deal at Colossus data center

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Credit: xAI Memphis

SpaceX confirmed today that it has officially signed its third massive compute deal, providing compute at its Colossus data center in Southaven, Tennessee.

Reflection AI will gain immediate access to NVIDIA GB300 chips at SpaceX’s Colossus 2 data center. In return, Reflection will pay SpaceX $150 million per month starting on July 1, with total payments reaching approximately $6.3 billion if the contract runs through its duration, which is until 2029. Either party can terminate the agreement with 90 days’ notice after the initial three-month period.

CNBC first reported the deal.

This latest partnership highlights SpaceX’s strategy of commercializing its massive Colossus supercomputing infrastructure, originally developed to power Elon Musk’s Grok AI models. The company has rapidly expanded its customer base in the AI sector following its February 2026 merger with xAI, a transaction that valued the combined entity at $1.25 trillion.

SpaceX has previously signed significant compute deals with other major players.

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It granted Anthropic exclusive access to the full capacity of its Colossus 1 data center, which exceeds 300 megawatts and includes over 220,000 NVIDIA GPUs. Details from SpaceX’s IPO filings indicate Anthropic will pay $1.25 billion per month through May 2029, potentially generating around $45 billion over the term of the deal.

Additionally, Google agreed to pay SpaceX $920 million per month for compute capacity from October 2026 through June 2029. This 32-month period will provide Google access to roughly 110,000 NVIDIA GPUs, along with supporting processors and memory. Capacity ramps up through September at a reduced fee, with termination options after the first year.

SpaceXA also established arrangements for computing power with Cursor, an AI coding startup. SpaceX acquired them in a $60 billion all-stock deal.

SpaceX makes first acquisition post-IPO

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These arrangements position SpaceX’s collective position as an AI infrastructure powerhouse with high-margin revenue potential. The Google deal alone could generate nearly $29.5 billion over its term, while the Reflection contract adds another $6.3 billion.

Combined with the Anthropic arrangement, SpaceX stands to realize tens of billions in revenue from compute leasing in the coming years, which diversifies beyond SpaceX’s traditional rocket launches and Starlink operation.

The deals underscore growing demand for advanced AI training and inference capacity amid chip shortages and surging model development needs. Reflection, valued at $25 billion and focused on “American open intelligence” with government and national security ties, cited recent restrictions on closed models as validation for open-source approaches.

For SpaceX, the partnerships transform capital-intensive data centers into flexible revenue sources while supporting its broader AI ambitions after the company has gone public.

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