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Tesla Model S Plaid sets new record at the Nürburgring in final run for the year
Recent reports from German motoring publication Auto Motor und Sport have revealed that the blue Tesla Model S Plaid prototype has broken the company’s previous unofficial record on the Nurburgring, with the vehicle completing a lap around the track in 7:13. The Model S was able to accomplish this feat not just once, but twice.
What is even more impressive was that Tesla accomplished this feat with a unit that previously completed a 7:40 lap around the Nurburgring in September. During that time, Tesla was able to finish a reported hand-stopped lap of 7:23, though it used its red Model S Plaid prototype, a vehicle that unfortunately crashed during a hot lap in recent weeks. Fortunately, the red Model S’ driver, Andreas Simonsen, was unharmed during the accident.
As noted by the publication, the blue Model S Plaid prototype was driven around the Nurburgring by Nordschleife expert and racing driver Thomas Mutsch. For its record-setting runs, the Model S was equipped with its large rear diffuser and a small rear spoiler. A large spoiler spotted by photographers previously had reportedly been removed by Tesla after a short session around the track. The vehicle was equipped with Michelin Pilot Sport Cup 2 Cup R sports tires for its record-setting runs as well.
That being said, the blue Plaid Tesla Model S’ two 7:13 records are still unofficial lap times for the vehicle. Thus, for now at least, the electric car maker simply has the knowledge that its upgraded Tesla Model S is capable of beating the already-stellar 7:23 record it set for itself during its first excursion into the track over a month ago. Nevertheless, the blue Plaid Model S’ recent unofficial record is still 8 seconds shy of the 7:05 estimate that Tesla announced on Twitter when it left the Nurburgring for the first time in late September.
Auto Motor und Sport noted that the Tesla team has departed the iconic German racetrack for now, with the team likely not coming back this year. The two vehicles used for the test — the red Model S Plaid that crashed, as well as the blue Plaid unit that set the 7:13 record — are reportedly being sent home to the United States. With this in mind, it appears that Tesla might be preparing to return to the Nurburgring with new Model S Plaid units next year, perhaps finally ready to set its own official lap record.
What is particularly interesting is that Tesla’s new unofficial lap time around the Nurburgring is already 29 seconds faster than the Porsche Taycan Turbo prototype that set an unofficial 7:42 record of its own around the German racetrack prior to the all-electric sports car’s official release. Considering that the blue Model S Plaid reportedly left the track last September with a 7:40 lap, the vehicle’s current 7:13 time is quite a notable improvement.
After all, it appears that Tesla was testing two Plaid Model S variants in the Nurburgring this time around. Based on the initial track times of the two prototypes, it appears that Tesla was actually benchmarking the red and blue Model S against each other. And between the two vehicles, it almost seemed like the blue Plaid Model S was the more conservatively-specced vehicle. Either way, Tesla’s return next year would likely be incredibly exciting, as the company would likely come back with a vehicle that will be very close to the actual production Plaid Model S that’s set for release next year.
At 7:13, Tesla’s Model S Plaid prototype has already exceeded the lap time of the 2018 Jaguar XE SV Project 8, which completed the Nurburgring in a blazing-fast 7:21. That’s the fastest four-door vehicle around the Nurburgring to date, not counting the prototype monster that Porsche brought over to the track recently, the Panamera “Lion” project, which reportedly completed a 7:11 lap. Quite interestingly, it appears that no laps have been done by Porsche with the Taycan Turbo S as of yet.
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.
Elon Musk
SpaceX Starship just nailed something it’s never done before
SpaceX’s Starship flew successfully Friday, landing both stages and deploying its first Starlink V3 satellites.
Starship’s thirteenth test flight delivered exactly what SpaceX needed with a clean liftoff, two successful stage recoveries, and the first real payload the vehicle has ever carried to space. Booster 20 and Ship 40 lifted off at 5:51 p.m. CT from Starbase, and by the time the mission wrapped roughly an hour later, both halves of the rocket had done exactly what they were supposed to do.
Booster 20 separated from Ship 40 a few minutes into the flight and stuck a controlled splashdown in the Gulf of Mexico about six minutes after liftoff. That is a meaningful turnaround from Flight 12 in May, when the booster lost several engines during its boostback burn before a hard water landing attempt.
Starship as seen from Starlink satellites pic.twitter.com/e2hvfmnewh
— Elon Musk (@elonmusk) July 25, 2026
Starship 40’s performance was arguably the bigger win. The vehicle deployed the first 20 operational Starlink V3 satellites Starship has ever carried, then flew a suborbital arc to a landing in the Indian Ocean that SpaceX commentator Dan Huot called the company’s softest splashdown yet. “This is a dream scenario for this team that’s trying to get this heat shield data,” Huot said on the live broadcast, according to Space.com’s live coverage. “I’m a little over the moon right now. Wow. Lucky number 13.”
Unlike the mass simulators SpaceX flew on Flight 12, these were production Starlink V3 satellites, meant to extend solar arrays and antennas and attempt to link with the broader constellation before reentering minutes later. Getting real hardware through a full deploy sequence on only the second flight of the V3 generation keeps Starship on schedule for the payload work NASA is counting on for future Artemis lunar landings.
What an awesome launch, really seems like everything went super well and it was all incredibly smooth.
SpaceX is awesome. Very interested to see how the market will respond on Monday pic.twitter.com/KSHmyBfV55
— TESLARATI (@Teslarati) July 25, 2026
— TESLARATI (@Teslarati) July 25, 2026
The flight also arrives at a moment when SpaceX needed a win. SPCX has traded below its $135 IPO price since mid-July, as Teslarati reported when the mission slipped to Friday, and short interest has climbed to roughly a third of the tradable float. A clean flight will not fix a balance sheet, but it does answer the one question SpaceX absolutely needed answered this week: whether the fixes made after the July 16 abort would hold up under real flight conditions. They did, on both stages, on the first try after the redesign.
SpaceX has not set a target date for Flight 14, though the company has said it wants to push toward an orbital attempt on the next mission. After Friday, that goal looks a lot more within reach.
Tesla to open source Model S and Model X designs and software
Tesla flexes incredible Robotaxi metric that skeptics will hate
