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Mercedes EQS EV spied benchmarking against Tesla Model S and Model 3
Mercedes-Benz was spied testing its yet-to-be-released EQS long-range electric vehicle against Tesla’s flagship Model S, a vehicle that has arguably become the gold standard when it comes to the electric car to be benchmarked against.
Outfitted with a familiar camouflage wrap to conceal some of its exterior features, the EQS was spotted with a Tesla Model 3 and Model S in tow at the Mercedes Research and Development Center in Sindelfingen, Germany. The test facility is located outside of Stuttgart, where both Mercedes and Porsche are headquartered.
The Model 3 that arrived at the testing facility was not a Performance variant, as determined by the wheels, ride height, and trim of the vehicle. Tesla’s flagship sedan, the Model S, was also benchmarked against by Mercedes during the EQS testing session.
Design and Aesthetics
The EQS seen in the pictures appears to have wide and bulky body dimensions that are reminiscent of the Model S Plaid variant. Tesla’s Plaid Mode Model S was designed with a broader body and three separate motors for increased performance. Still, it also contained a rear diffuser for efficient air displacement and a rear spoiler that improved the aerodynamics of the vehicle.
The EQS in the photographs does not contain either a diffuser or a rear spoiler.
While somewhat reminiscent of other Mercedes-Benz models, the EQS’ rounded edges on the quarter panels give it a sportier look than the 2021 S-Class 450 SE, which is much more squared off at the corners of the vehicle.
Mercedes also says that the EQS will have digital headlamps and an all-digital front grille. A futuristic and fluid design will seamlessly integrate the body, dashboard, console, and armrests, and the luxury interior will be made from recycled materials to increase sustainability.
Performance and Other Features
Mercedes unveiled the EQS in 2019 and stated that two electric motors would give the car around 470 horsepower. The German automaker estimates that the EQS will reach 0-60 MPH in less than 4.5 seconds and that it will have 435 miles of all-electric range based on the more relaxed WLTP standard.
It will also pack a 100 kWh battery that will recharge from 0% to 80% in 20 minutes using high-power DC Fast Charging.
Mercedes also plans to use at least level 3 autonomy, but there is some indication that the German automaker may have to scrap these plans when the car is released. Mercedes and BMW had a joint partnership that was aimed toward developing self-driving technology, but it was frozen after a steep plunge in demand due to the COVID-19 pandemic.
The EQS is Mercedes’ first of its all-new line of electric cars. The German automaker is doing what many other car companies in the same country are attempting to do: breakthrough Tesla’s expansive lead in EV tech by developing impressive sustainable models.
The EQS starts at $96,000 and is expected to go on sale in 2021.
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- Mercedes EQS testing against a Tesla Model S at the Research and Development Center in Sindelfingen, Germany (Teslarati)
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- Mercedes EQS testing against a Tesla Model S at the Research and Development Center in Sindelfingen, Germany (Teslarati)
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- Mercedes EQS testing against a Tesla Model S at the Research and Development Center in Sindelfingen, Germany (Teslarati)
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
