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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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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
