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Why Tesla won’t lose sleep over other automakers achieving massive range ratings

Mercedes-Benz VISION EQXX demonstrates its world-beating efficiency in real world driving: over 1,000 km on one battery charge. Ready for the longest road trip since the invention of electric mobility. From Sindelfingen across the Swiss Alps to Cassis on the Côte d'Azur.

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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?”

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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.

I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.

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Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo

“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.

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Credit: Grok Imagine

NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance. 

More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system. 

Jensen Huang’s praise for Tesla FSD

Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”

During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:

“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies. 

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“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said. 

Nvidia’s platform approach vs Tesla’s integration

Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.

“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.

He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.

“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”

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He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.

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Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines

The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.

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Credit: xAI/X

xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters. 

The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.

xAI’s turbine deal details

News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.

As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X. 

xAI’s ambitions 

Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”

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The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website. 

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Elon Musk’s xAI closes upsized $20B Series E funding round

xAI announced the investment round in a post on its official website. 

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Credit: xAI

xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. 

xAI announced the investment round in a post on its official website. 

A $20 billion Series E round

As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others. 

Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.

As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”

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xAI’s core mission

Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.

xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5. 

“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote. 

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