News
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.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
