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Tesla Model S, 3, X takes on Audi e-tron in Autobahn range and efficiency test

(Photo: nextmove.de)

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German electric vehicle rental company nextmove recently conducted what could only be described as the ultimate Autobahn efficiency and range test, pitting the Tesla Model S, 3, and X against the upstart Audi e-tron and the bang-for-your-buck Hyundai Kona Electric. Following the EV rental firm’s test, it was evident that veteran automakers such as Audi still have a long way to go before they catch up to Tesla’s experience in electric cars.

Eight vehicles were used for nextmove’s test: a Model S 100D (equipped with 19” winter tires), two Tesla Model X 100D (one fitted with 19” winter tires and the other fitted with 20” summer tires), one Tesla Model 3 Dual Motor AWD (equipped with 19” summer tires), two Audi e-tron (one with digital side mirrors and another with classic mirrors; both equipped with 21” summer tires), and two Hyundai Kona Electric (one fitted with 17” summer tires and the other fitted with 17” winter tires). Each vehicle’s tire pressure was set according to manufacturer specifications, and each was driven by an experienced electric car driver.

(Photo: nextmove.de)

Several rules were observed to keep the Autobahn test as controlled as possible. Cruise control was only utilized once the target cruising speed of 130 kph (81 mph) and 150 kph (93 mph) was reached. Features such as Regenerative Braking were also avoided, and heating was largely disabled. Thet route was 85 km (52.8 miles) long, with the vehicles traveling 130 kph one way and 150 kph in the other.

The results of both the 130 kph (81 mph) and 150 kph (93 mph) tests revealed that the Tesla Model 3 was the most efficient vehicle among the eight that the EV rental company evaluated. Following the Model 3 was the Hyundai Kona Electric in summer tires, which is, in turn, followed by the Tesla Model S 100D. The largest vehicle in the group, the Tesla Model X, proved less efficient than the Model 3, Model S, and Kona Electric, but it proved notably more efficient than the Audi e-tron.  

The Audi e-tron and the Tesla Model X had already gone head-to-head in a nextmove test in the past. During the previous test, the EV rental company utilized a pre-production version of the Audi e-tron, and it proved to be the electric equivalent of a gas-guzzler, being 23% less efficient than the larger, heavier Tesla Model X.

While the Audi e-tron performed much better against the Tesla Model X than its pre-production counterpart in the recent test, the all-electric SUV still proved less efficient than the Silicon Valley-made crossover. Quite interestingly, the difference in energy consumption between the Tesla Model X and Audi e-tron was more prominent at lower speeds than at higher speeds.

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(Photo: nextmove.de)

Tesla’s Model S, 3, and X cleared the house in terms of range. During the 130 kph test, the Model S 100D showed a range of 480 km (298 miles), the Model X 100D showed a range of 409 km (254 miles), and the Model 3 managed a range of 406 km (252 miles). The Hyundai Kona Electric turned in a respectable 322 km (200 miles), and the Audi e-tron, in last place, managed 301 km (187 miles).

The results of the 150 kph test were quite similar. The Model S, X and 3 proved superior once more with a range of 428 km (265 miles), 359 km (223 miles), and 358 km (222 miles). The Hyundai Kona Electric managed 283 km (176 miles), while the Audi e-tron achieved a range of 275 km (171 miles). With these results in mind, it appears that veteran automakers such as Audi still have their work cut out for them in terms of designing electric vehicles that offer a balance of power, efficiency, and range.

It should be noted that the Tesla Model X utilized by nextmove in its Autobahn efficiency test was a 100D unit, and thus, the vehicle was not yet equipped with the company’s updated high-efficiency drive units. With a “Raven” Model S and Model X in the equation, the German EV rental company’s test could very well have ended in a far more lopsided manner.

The full results of nextmove‘s eight-way comparative test could be accessed here.

Watch nextmove’s Autobahn efficiency test in the video below. English subtitles are available. 

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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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Starlink passes 9 million active customers just weeks after hitting 8 million

The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.

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Credit: Starlink/X

SpaceX’s Starlink satellite internet service has continued its rapid global expansion, surpassing 9 million active customers just weeks after crossing the 8 million mark. 

The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.

9 million customers

In a post on X, SpaceX stated that Starlink now serves over 9 million active users across 155 countries, territories, and markets. The company reached 8 million customers in early November, meaning it added roughly 1 million subscribers in under seven weeks, or about 21,275 new users on average per day. 

“Starlink is connecting more than 9M active customers with high-speed internet across 155 countries, territories, and many other markets,” Starlink wrote in a post on its official X account. SpaceX President Gwynne Shotwell also celebrated the milestone on X. “A huge thank you to all of our customers and congrats to the Starlink team for such an incredible product,” she wrote. 

That growth rate reflects both rising demand for broadband in underserved regions and Starlink’s expanding satellite constellation, which now includes more than 9,000 low-Earth-orbit satellites designed to deliver high-speed, low-latency internet worldwide.

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Starlink’s momentum

Starlink’s momentum has been building up. SpaceX reported 4.6 million Starlink customers in December 2024, followed by 7 million by August 2025, and 8 million customers in November. Independent data also suggests Starlink usage is rising sharply, with Cloudflare reporting that global web traffic from Starlink users more than doubled in 2025, as noted in an Insider report.

Starlink’s momentum is increasingly tied to SpaceX’s broader financial outlook. Elon Musk has said the satellite network is “by far” the company’s largest revenue driver, and reports suggest SpaceX may be positioning itself for an initial public offering as soon as next year, with valuations estimated as high as $1.5 trillion. Musk has also suggested in the past that Starlink could have its own IPO in the future. 

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NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”

After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine.

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Credit: Grok Imagine

NVIDIA Director of Robotics Jim Fan has praised Tesla’s Full Self-Driving (Supervised) v14 as the first AI to pass what he described as a “Physical Turing Test.”

After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine. And just like smartphones today, removing it now would “actively hurt.”

Jim Fan’s hands-on FSD v14 impressions

Fan, a leading researcher in embodied AI who is currently solving Physical AI at NVIDIA and spearheading the company’s Project GR00T initiative, noted that he actually was late to the Tesla game. He was, however, one of the first to try out FSD v14

“I was very late to own a Tesla but among the earliest to try out FSD v14. It’s perhaps the first time I experience an AI that passes the Physical Turing Test: after a long day at work, you press a button, lay back, and couldn’t tell if a neural net or a human drove you home,” Fan wrote in a post on X. 

Fan added: “Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies.”

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The Physical Turing Test

The original Turing Test was conceived by Alan Turing in 1950, and it was aimed at determining if a machine could exhibit behavior that is equivalent to or indistinguishable from a human. By focusing on text-based conversations, the original Turing Test set a high bar for natural language processing and machine learning. 

This test has been passed by today’s large language models. However, the capability to converse in a humanlike manner is a completely different challenge from performing real-world problem-solving or physical interactions. Thus, Fan introduced the Physical Turing Test, which challenges AI systems to demonstrate intelligence through physical actions.

Based on Fan’s comments, Tesla has demonstrated these intelligent physical actions with FSD v14. Elon Musk agreed with the NVIDIA executive, stating in a post on X that with FSD v14, “you can sense the sentience maturing.” Musk also praised Tesla AI, calling it the best “real-world AI” today.

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Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1

The update was released just a day after FSD v14.2.2 started rolling out to customers. 

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Credit: Grok

Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers. 

Tesla owner shares insights on FSD v14.2.2.1

Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.

Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.

“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.

Tesla’s FSD v14.2.2 update

Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures.

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New Arrival Options also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.

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