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

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.
- (Photo: nextmove.de)
- (Photo: nextmove.de)
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.

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.
- (Photo: nextmove.de)
- (Photo: nextmove.de)
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.
Elon Musk
SpaceXAI just launched into your kitchen with their new app
SpaceXAI just powered its first consumer app and it predicts what you want to buy.
SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.
Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.
Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.
Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.
Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.
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Tesla piggybacks recent Supercharger feature with update that takes it further
Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.
This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.
The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.
Tesla supplements Holiday Update by sneaking in new Full Self-Driving version
Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.
Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.
Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.
Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.
Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.
In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.
As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.
With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.
News
Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it
Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.
The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:
“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”
However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.
I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.
The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.
Hurry Mode Results
On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:
Roughly :31 between first touching the center screen and getting the first nag
— TESLARATI (@Teslarati) June 3, 2026
Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.
Here’s an 80-second phone nag test on Tesla FSD v14.3.3.
No alerts, no nagging, no annoyance. https://t.co/1dxvTOw5Cn pic.twitter.com/vYViFpjfoK
— TESLARATI (@Teslarati) May 29, 2026
Mad Max Results
I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.
With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nags on Mad Max https://t.co/qZALU2OujY pic.twitter.com/XddOJ0D47x
— TESLARATI (@Teslarati) June 3, 2026
As well as adjusting Navigation, when I received two nags:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nag while adjusting navigation
Two nags here https://t.co/qZALU2OujY pic.twitter.com/xa3dtaDG1L
— TESLARATI (@Teslarati) June 3, 2026
These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.
These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.
You can watch the full drive on YouTube below:



