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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 Hardware 3 owners are set to get a new Full Self-Driving version this month as the company plans to release what it is referring to as v14 Lite.
The rollout is not yet confirmed for June, but Tesla executives have stated on several occasions that this more refined FSD iteration will work with their cars and increase its capabilities.
This comes after Tesla admitted during its last Earnings Call that these Hardware 3 vehicles would not be able to achieve Full Self-Driving, something that they did not know when they bought these cars. We regularly receive messages from Hardware 3 owners asking when v14 Lite will come out, what they should expect, and whether it is worth it to upgrade the self-driving computer or buy a new car altogether.
Following future rollout of FSD V14 Lite for HW3 vehicles in the US, we plan on expanding V14 Lite to additional international markets.
This update ensures that HW3 vehicle owners will continue to benefit from ongoing software updates.
Since international rollout is subject to…
— Tesla (@Tesla) April 29, 2026
It is hard not to feel for them; Tesla CEO Elon Musk said at the company’s 2019 Autonomy Day that all vehicles produced at the time, including Hardware 3 cars, had “all the hardware necessary, compute and otherwise, for Full Self-Driving.”
Musk also said in March of that year that, “Anyone who purchased Full Self-Driving will get FSD computer upgrade for free.”
Anyone who purchased full self-driving will get FSD computer upgrade for free. This is the only change between Autopilot HW2.5 & HW3. Going forward “HW3” will just be called FSD Computer, which is accurate. No change to vehicle sensors or wire harness needed. This is v important. https://t.co/lICMpT7xnX
— Elon Musk (@elonmusk) March 29, 2019
However, during the Q1 2026 Earnings Call, Musk admitted that Hardware 3 vehicles would not be capable of FSD, as “It has only 1/8th the memory bandwidth of Hardware 4, and memory bandwidth is one of the key elements needed for unsupervised FSD.”
Tesla has made some effort to remedy these Hardware 3 owners by offering:
- Discounted trade-ins toward AI4 cars
- Hardware retrofits, which would replace the self-driving computer and upgrade all cameras
- Full Self-Driving v14 Lite
The issue is that many of these owners were led to believe their cars would be capable of unsupervised self-driving. Now, they’re left scrambling for options, and while there are several, they will all require more money out of their pockets.
Expectations for Tesla v14 Lite for Hardware 3 Owners
The big differences between the AI4 v14 and v14 Lite for Hardware 3 owners will stem primarily from hardware constraints. Tesla developed v14 Lite with an optimized frame of mind; the v14 neural nets are toned down to run on an HW3 computer.
Tesla v14 will use the same behavior, but its limits will be hardware-related, especially given that the cameras on HW3 vehicles are lower-resolution.
Tesla reveals its plans for Hardware 3 owners who are eager for updates
This will result in potentially more edge cases due to the lower quality perception and less long-range detection, but reaction time and overall confidence should be more refined.
There should also be a handful of additional features that are available on AI4 cars, such as:
- Starting Full Self-Driving from Park
- Auto Shift
- Streaks
- Speed Profiles
- Improved Dynamics, like Pulling Over for Emergency Vehicles
Tesla plans to release v14 Lite this month, but we are all familiar with how the company can be with timelines. Additionally, if v14 Lite has not proven to be ready for a wide release, Tesla will slam the brakes on the rollout.
We would anticipate that Tesla is testing v14 Lite internally, and likely has been for several months.
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.
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.
Tesla Hardware 3 owners could be made whole this month
SpaceXAI just launched into your kitchen with their new app
