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Tesla’s edge in battery and charging tech emerges in Model X vs Jaguar I-PACE range test
With just 15 years of experience under its belt, Tesla remains a neophyte in the automotive industry. Despite its short tenure, the upstart electric car maker continues to establish itself as a leader in battery technology and charging infrastructure. Tesla’s advantages in these fields became prominent in a real-world test between the Model X 90D and the Jaguar I-PACE in Germany earlier this month, when the two vehicles went head-to-head in a battery consumption and charging test.
Batteries are a core part of Tesla’s business. Since the days of the original Roadster, Tesla has gone all-in with its battery technology, from the Model S and X’s 18650 cells to the Model 3’s more energy-dense 2170 cells. The same is true for Tesla’s Supercharger Network. The Silicon Valley-based carmaker has invested heavily in the expansion of its charging infrastructure, to the point where the company’s vehicles today are among the few electric cars that are almost as convenient as fossil fuel-powered vehicles for long-distance driving.
The Jaguar I-PACE is an all-electric crossover SUV that boasts plush interior accents and a 90 kWh battery. With its large battery pack, Jaguar estimates that the I-PACE should be able to travel up to 240 miles per charge. The vehicle is also compatible with DC rapid chargers, including the upcoming IONITY Network, which is capable of providing an output of up to 350 kW. As shown by a range and battery consumption test by German YouTube channel nextmove, though, it appears that the I-PACE’s highway consumption and charging speed leaves much to be desired.
The publication opted to drive both vehicles on the Autobahn at highway speeds, traveling from Jena to Berlin (a distance of 268 km/166 miles). With both vehicles having a 90 kWh battery pack, and with the Model X being larger and heavier, it initially seemed like the I-PACE would have no problem keeping pace with the American-made all-electric SUV. Midway through the test, though, it became evident that the Jaguar I-PACE, despite being smaller and lighter, was less efficient than the Model X. At speeds between 93 km/h (58 mph) and 110 km/h (68 mph), for example, the I-PACE showed an average consumption of 22.5 kWh/100 km (362 Wh/mi). The Model X, on the other hand, had a consumption of 17.5 kWh/100 km (282 Wh/mi). That makes the larger, heavier Model X around 23% more efficient than the Jaguar I-PACE.
The Tesla Model X also outshone the Jaguar I-PACE in terms of charging. The German publication opted to charge the I-PACE at an IONITY station in a Porsche dealership. IONITY’s stations are capable of proving up to 350 kW of output, but despite this, the I-PACE was limited to only 80-83 kW. In contrast, Tesla’s Supercharger Network was able to recharge the Model X 90D with more than 100 kW of output.
While Tesla’s superior battery tech and charging system were notable in the Model X versus Jaguar I-PACE test, it should be noted that the Model X in nextmove‘s video was still equipped with Tesla’s legacy 18650 battery cells, which are incredibly reliable but not as energy-dense as the 2170 cells found in the Model 3. Tesla’s 2170 cells have garnered rave reviews from auto veterans such as Sandy Munro, who noted that the batteries are superior to those currently in the market. Tesla will inevitably roll out its 2170 cells to the Model S and Model X, and once it does, legacy carmakers like Jaguar would likely find themselves chasing a moving target. This was mentioned by Tesla CEO Elon Musk in the third quarter earnings call, when he noted that the Model 3 is currently the “most efficient energy per mile electric vehicle out there.”
“We’ve got the best in terms of miles or kilometers per kilowatt hour, and we also have the lowest cost per kilowatt hour. This makes it very difficult for other companies to compete with Tesla because we’re the most efficient car and the lowest-cost batteries. So I do encourage our competitors to really make a huge investment. And we’ve been saying that for a long time. And then they are only in this competitive disadvantage because they didn’t. We try to help them as much as we could, and they didn’t want to take our help.
“They can use our Supercharger network if they can just have an adapter for our — connector or something. We want to be as helpful as possible to the rest of the industry. The fact of the matter is we made the investment in the Gigafactory, and other companies didn’t. And we put a lot of effort into having extremely efficient cars, which are having the most efficient powertrains, and the other companies didn’t. But that’s what has put us in quite a strong competitive position right now.”
Back when Elon Musk outlined his plans for starting Gigafactory 1 as a facility specifically designed to manufacture batteries for Tesla’s electric cars; many were skeptical. In 2014, for example, the MIT Technology Review published an article expressing reservations about the project, arguing that the Gigafactory would be a risky gambit for Tesla since it would be difficult to determine if demand for Tesla’s electric cars would be consistent. The Supercharger Network was largely dismissed by the company’s skeptics as well, with critics stating that once other automakers like GM decide to go all-in on the electric car movement, they would be able to leapfrog Tesla’s charging system. As legacy carmakers are coming to the realization that it is not so easy to build electric cars, and as vehicles like the I-PACE lag behind Tesla’s legacy battery technology in the Model X 90D, it seems like Elon Musk’s “I told you so” moment in the past earnings call was well-justified.
Watch nextmove‘s test of the Model X 90D and the Jaguar I-PACE in the video below.
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
