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Why Tesla won’t lose sleep over other automakers achieving massive range ratings
Tesla is normally confronted with plenty of interesting and challenging metrics from competitors, especially in terms of range and speed. With the Mercedes-Benz VISION EQXX accomplishing a major feat of over 1,000 kilometers (620 miles) driven on a single charge earlier this week, many may wonder if Tesla engineers are scrambling around attempting to crank out some new EV with 2,000 kilometers of range. I can assure you they are not.
The accomplishments of Mercedes-Benz in its electric vehicle program are not to be slighted. While the luxury automaker is working to develop and ramp its EQ lineup, which will consist of fully and partially electric vehicles, Mercedes is definitely coming out with some pretty interesting and eye-grabbing records and points of strength, especially indicated in its most recent range ratings and assessments of its semi-autonomous driving functionality. Its most recent release from April 13 tells us the story of the VISION EQXX and how it drove 626 total miles on a charge.
“We did it! Powering through more than 1,000 kilometers with ease on a single battery charge and a consumption of only 8.7 kWh/100 km (7.1 kWh per 62 miles) in real-world traffic conditions,” Ola Källenius, Charman of the Board of Management for Mercedes-Benz Group AG, said. “The VISION EQXX is the most efficient Mercedes ever built. The technology program behind it marks a milestone in the development of electric vehicles. It underpins our strategic aim to ‘Lead in Electric.’”
Traveling on a route through Germany and Italy, crossing the towns and cities of Sindelfingen, Gotthard Tunnel, Milan, and Cassis, 11 hours and 32 minutes of driving time ended its 626-mile trek successfully with a single charge.
Erfolgreicher Roadtrip MissionXX – von Sindelfingen über die Schweizer Alpen nach Cassis an der Côte d’Azur. Der Mercedes-Benz VISION EQXX fährt über 1.000 km mit einer Batterieladung und einem Durchschnittsverbrauch von 8,7 kWh/100 km. // Successful MissionXX road trip – from Sindelfingen across the Swiss Alps to Cassis on the Cote d’Azur. The Mercedes-Benz VISION EQXX sets efficiency record – over 1,000 km on a single battery charge and average consumption of 8.7 kWh/100 km.
Many of those interested in electric vehicles may be thinking, “This is just another thing Tesla has been beaten on.” “It’s only a matter of time before others do it, too.” “Tesla won’t achieve this, they’re stuck in the 400-mile range threshold.”
Tesla, as a company, is likely excited other companies are accomplishing these endurance-type runs so they don’t have to. If the automotive industry in 2022 was the same as what it was in 2010: a gas engine-dominated sector with relatively no electric options, then sure, maybe Tesla would care. But maybe not. The landscape of the EV industry has become so obsessed with these incredible metrics that many consumers forget they won’t need over 600 miles of range. How many gas car drivers go to a dealership thinking, “I will only buy a car if it offers me 620 miles of driving on a tank?”
CEO Elon Musk even stated recently that having “too much” range is not necessarily a good thing for electric vehicles.
“We could’ve made a 600-mile Model S 12 months ago, but that would’ve made the product worse imo, as 99.9% of time you’d be carrying unneeded battery mass, which makes acceleration, handling & efficiency worse,” Musk said recently. “Even our 400+ mile range car is more than almost anyone will use.” ABC News says the average American only travels sixteen miles per day for work. U.S. Census data even says Americans only spend around 27.6 minutes driving to work one way.
Tesla has held this perspective for some time. “Mass is the enemy of both efficiency and performance, and minimizing the weight of every component is an ongoing goal for our design and engineering teams,” it said in a blog post announcing the 400-mile Model S in June 2020.“Several lessons from the engineering design and manufacturing of Model 3 and Model Y have now been carried over to Model S and Model X. This has unlocked new areas of mass reduction while maintaining the premium feel and performance of both vehicles. Additional weight savings have also been achieved through the standardization of Tesla’s in-house seat manufacturing and lighter weight materials used in our battery pack and drive units.”
While there is certainly no reason to knock on Mercedes-Benz’s accomplishments, there needs to be a relative sense of what is ultimately appropriate in terms of EV range. Endurance runs are completely legitimate and interesting ways to prove your battery and efficiency metrics, but they’re not something proven EV companies will look at down the road. The successful automakers will be focusing on avoiding supply chain issues, ramping battery supply chain manufacturing, becoming more vertically integrated, and working to create price parity between EVs and their gas counterparts.
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Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
