News
Tesla Model 3 Performance drag races McLaren 570S in impressive 1/4 mile showdown
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.
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.
News
Ford is charging for a basic EV feature on the Mustang Mach-E
When ordering a new Ford Mustang Mach-E, you’ll now be hit with an additional fee for one basic EV feature: the frunk.
Ford is charging an additional fee for a basic EV feature on its Mustang Mach-E, its most popular electric vehicle offering.
Ford has shuttered its initial Model e program, but is venturing into a more controlled and refined effort, and it is abandoning the F-150 Lightning in favor of a new pickup that is currently under design, but appears to have some favorable features.
However, ordering a new Mustang Mach-E now comes with an additional fee for one basic EV feature: the frunk.
The frunk is the front trunk, and due to the lack of a large engine in the front of an electric vehicle, OEMs are able to offer additional storage space under the hood. There’s one problem, though, and that is that companies appear to be recognizing that they can remove it for free while offering the function for a fee.
Ford is now charging $495 on the Mustang Mach-E frunk (front trunk). What are your thoughts on that? pic.twitter.com/EOzZe3z9ZQ
— Alan of TesCalendar 📆⚡️ (@TesCalendar1) February 24, 2026
Ford is charging $495 for the frunk.
Interestingly, the frunk size varies by vehicle, but the Mustang Mach-E features a 4.7 to 4.8 cubic-foot-sized frunk, which measures approximately 9 inches deep, 26 inches wide, and 14 inches high.
When the vehicle was first released, Ford marketed the frunk as the ultimate tailgating feature, showing it off as a perfect place to store and serve cold shrimp cocktail.
Ford Mach-E frunk is perfect for chowders and chicken wings, and we’re not even joking
It appears the decision to charge for what is a simple advantage of an EV is not going over well, as even Ford loyal customers say the frunk is a “basic expectation” of an EV. Without it, it seems as if fans feel the company is nickel-and-diming its customers.
It will be pretty interesting to see the Mach-E without a frunk, and while it should not be enough to turn people away from potentially buying the vehicle, it seems the decision to add an additional charge to include one will definitely annoy some customers.
News
Tesla to improve one of its best features, coding shows
According to the update, Tesla will work on improving the headlights when coming into contact with highly reflective objects, including road signs, traffic signs, and street lights. Additionally, pixel-level dimming will happen in two stages, whereas it currently performs with just one, meaning on or off.
Tesla is looking to upgrade its Matrix Headlights, a unique and high-tech feature that is available on several of its vehicles. The headlights aim to maximize visibility for Tesla drivers while being considerate of oncoming traffic.
The Matrix Headlights Tesla offers utilize dimming of individual light pixels to ensure that visibility stays high for those behind the wheel, while also being considerate of other cars by decreasing the brightness in areas where other cars are traveling.
Here’s what they look like in action:
- Credit: u/ObjectiveScratch | Reddit
- Credit: u/ObjectiveScratch | Reddit
As you can see, the Matrix headlight system intentionally dims the area where oncoming cars would be impacted by high beams. This keeps visibility at a maximum for everyone on the road, including those who could be hit with bright lights in their eyes.
There are still a handful of complaints from owners, however, but Tesla appears to be looking to resolve these with the coming updates in a Software Version that is currently labeled 2026.2.xxx. The coding was spotted by X user BERKANT:
🚨 Tesla is quietly upgrading Matrix headlights.
Software https://t.co/pXEklQiXSq reveals a hidden feature:
matrix_two_stage_reflection_dip
This is a major step beyond current adaptive high beams.
What it means:
• The car detects highly reflective objects
Road signs,… pic.twitter.com/m5UpQJFA2n— BERKANT (@Tesla_NL_TR) February 24, 2026
According to the update, Tesla will work on improving the headlights when coming into contact with highly reflective objects, including road signs, traffic signs, and street lights. Additionally, pixel-level dimming will happen in two stages, whereas it currently performs with just one, meaning on or off.
Finally, the new system will prevent the high beams from glaring back at the driver. The system is made to dim when it recognizes oncoming cars, but not necessarily objects that could produce glaring issues back at the driver.
Tesla’s revolutionary Matrix headlights are coming to the U.S.
This upgrade is software-focused, so there will not need to be any physical changes or upgrades made to Tesla vehicles that utilize the Matrix headlights currently.
Elon Musk
xAI’s Grok approved for Pentagon classified systems: report
Under the agreement, Grok can be deployed in systems handling classified intelligence analysis, weapons development, and battlefield operations.
Elon Musk’s xAI has signed an agreement with the United States Department of Defense (DoD) to allow Grok to be used in classified military systems.
Previously, Anthropic’s Claude had been the only AI system approved for the most sensitive military work, but a dispute over usage safeguards has reportedly prompted the Pentagon to broaden its options, as noted in a report from Axios.
Under the agreement, Grok can be deployed in systems handling classified intelligence analysis, weapons development, and battlefield operations.
The publication reported that xAI agreed to the Pentagon’s requirement that its technology be usable for “all lawful purposes,” a standard Anthropic has reportedly resisted due to alleged ethical restrictions tied to mass surveillance and autonomous weapons use.
Defense Secretary Pete Hegseth is scheduled to meet with Anthropic CEO Dario Amodei in what sources expect to be a tense meeting, with the publication hinting that the Pentagon could designate Anthropic a “supply chain risk” if the company does not lift its safeguards.
Axios stated that replacing Claude fully might be technically challenging even if xAI or other alternative AI systems take its place. That being said, other AI systems are already in use by the DoD.
Grok already operates in the Pentagon’s unclassified systems alongside Google’s Gemini and OpenAI’s ChatGPT. Google is reportedly close to an agreement that will result in Gemini being used for classified use, while OpenAI’s progress toward classified deployment is described as slower but still feasible.
The publication noted that the Pentagon continues talks with several AI companies as it prepares for potential changes in classified AI sourcing.

