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Tesla Model S vs Porsche Taycan comparison finally hits the nail on the head
For the longest time, the Tesla Model S and the Porsche Taycan have been compared in a manner that one would not necessarily be considered completely fair. Some would focus on the badge and build quality and automatically give the win to Porsche, while some would focus on tech and driver-assist features and give the win automatically to Tesla. But giving the crown of the best luxury EV on the market today is no joke, and comparing these two vehicles requires a deep dive.
This is something that Roadshow was actually able to accomplish recently. In a video shared on its YouTube channel, the motoring publication compared the Model S and the Taycan on five fronts: Range and Charging, Acceleration, Handling, Design, and Price and Value. Using this metric, the publication was able to reach a result that is actually very fair to both vehicles.
First up is range and charging, and in this sense, there is really no contest. Tesla’s years of work on battery research has paid off in spades, and this is shown by the Model S’ nearly 400-mile range. The Supercharger Network is icing on the cake, providing the Model S with a convenient way to charge its batteries during road trips. The Taycan has a tendency to exceed its EPA range figures, and it’s supported by a vast charging network too. But compared to Tesla’s raw range and Supercharger Network, the gap is simply too big. One win for Tesla.
Acceleration is something that both vehicles excel at. In this sense, Roadshow noted that the top-tier versions of the two premium EVs, the Model S Performance and the Taycan Turbo S, are both insanely quick. The Taycan Turbo S is rated by Porsche with a 0-60 time of 2.6 seconds, but tests from publications have recorded the vehicle hitting 2.4 seconds instead. This was originally faster than the Model S Performance’s 2.5 seconds, but after Tesla’s Cheetah Stance Launch Mode update, the flagship sedan could now hit 60 mph in 2.3 seconds instead. That’s another win for Tesla, but only just.
Things change when handling is discussed. While both are large vehicles, Roadshow noted that the Taycan simply feels much better to throw around corners. This is where Porsche’s pedigree comes to light as a veteran sports car maker, since the Taycan simply feels a lot lighter than its over 5,000-pound weight. The Model S Performance handles great too, but when thrown into the same corners at the same speed as the Taycan, the Tesla’s large size simply becomes more evident. The Taycan wins this round.
Design is also something that was given to the Porsche. After all, the Model S has pretty much retained its design since its first iteration that was rolled out eight years ago. Save for a facelift, the Model S is still the same car that broke barriers back in 2012. Thus, the Taycan simply feels much newer and more fresh in this sense. The fact that the Taycan’s interior is filled to the brim with premium materials worthy of its price also adds to its edge against the Tesla Model S.
But when it comes to the price and value of the two vehicles, it is difficult not to be impressed by the Tesla Model S. Roadshow opted to compare the Taycan 4S and the Model S Long Range, which are the more conservatively priced and specced versions of the two cars. But even then, a fully loaded Model S Long Range is still cheaper than a Taycan 4S that is so basic, it doesn’t even have adaptive cruise control. This, ultimately, proves that eight years on, Tesla’s flagship sedan still has a lot of fight left in it, and it’s not about to give up its crown easily either.
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.
Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on next flight
— Elon Musk (@elonmusk) July 25, 2026
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.
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.
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.”
Just as Tesla made the original Roadster design & software open source, we plan to do the same with Model S & X
— Elon Musk (@elonmusk) July 24, 2026
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.
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.
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
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.
0 notable incidents across over 380,000 miles traveled by Robotaxi
— Tesla (@Tesla) July 22, 2026
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.
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.
SpaceX wants to catch Starship for launch 14, Elon Musk says
Tesla to open source Model S and Model X designs and software
