Tesla Model S is closing in on 400 miles of range per charge. With this update, Tesla has definitively extended its lead in the EV market, putting it far ahead — at least from a range perspective — against its biggest competitors. What’s rather interesting is that the Model S’ 390-mile range is just the tip of the iceberg.
Being a constantly-innovating company, it’s difficult to put the finger on the generations of vehicles that Tesla releases. Yet one look at the company’s upcoming electric cars and one would know that its next vehicles will feature next-generation technology. The Model Y, for example, is built from the company’s experiences with the Model 3, and pictures of the all-electric crossover in the assembly line hint that its casting may be quite unique. Tesla will likely not experience as many challenges ramping the Model Y compared to its previous vehicles, and this is likely due to the company’s experience.
There’s the Semi and the Cybertruck as well, both of which are large vehicles that would otherwise require a ton of batteries to get their estimated range. Yet in the case of the Cybertruck, the vehicle will be offering over 500 miles of range for less than $70,000. How Tesla will accomplish this remains to be seen, but Global Equities Research analyst Trip Chowdhry noted that the Cybertruck is on a “completely different technology orbit” after taking a test ride in the all-electric truck at Tesla’s Fremont factory.
Some of these improvements are already coming soon. Later this year, Tesla is expected to release the Model S’ Plaid Powertrain variant, which will be track-capable and boast an insane amount of power with its tri-motor setup. Elon Musk noted recently on Twitter that the Plaid Model S has “absurd” performance, though the electric car maker will ensure that the vehicle still gets enough range. This comment may seem like a typical Elon Musk update, but it shows a lot about Tesla’s experience as a veteran electric car maker.
Making an electric car is not easy. Making a great electric car is twice as difficult. This is something that veteran automakers are now learning, with each vehicle that they release. Premium EVs seem to be the ones learning this lesson the hardest, especially as otherwise great cars like the Audi e-tron and the Jaguar I-PACE end up being bogged down by issues such as range. Yet among carmakers and “Tesla Killers” that have come out, the Porsche Taycan seems to be the best example of this experience gap.
The Porsche Taycan is a beautifully-designed electric sports car, and it works like one. It’s top-tier variant, the $185,000 Taycan Turbo S, is arguably the only vehicle that can beat a Raven Model S Performance on the drag strip fair and square. Yet for all its speed and power, the Taycan suffers from poor efficiency, as evidenced by the Turbo S’ 192-mile EPA rated range. Granted, tests from motoring publication Car and Driver suggest that the Taycan’s range is more tuned for Autobahn driving, but the gap between the vehicle and the Model S is very evident. This becomes even more notable when one considers that both cars’ battery packs are similarly-sized.
The Model S’ Long Range Plus update means that through incremental improvements on electric car batteries, Tesla is now able to draw out 390 miles out of a 100 kWh pack. That’s just about 20 miles short of Rivian’s 400-mile trucks, and those vehicles are equipped with a 180 kWh battery pack. This matters a lot, and this is a benchmark that will probably take a few years to beat.
During Porsche’s Annual Press Conference last year, the company’s executives focused a lot of their discussions on the Taycan, whose development represented a multi-billion-dollar initiative for the company. Following the main conference, I was fortunate enough to be part of a group of reporters who were able to get a brief Q&A session with Porsche Board Member for Sales and Marketing Detlev Von Platen. When it was my turn to ask a question, I inquired about Porsche’s strategy about the Taycan’s range, and how the company plans to prevent the vehicle from being the electric equivalent of a gas guzzler.
The Board Member’s response did not directly address my inquiry, though he did emphasize that Porsche is no neophyte with battery tech due to its efforts with high-performance hybrid sports cars like the 918 Spyder. This is a fair point to make, of course, though looking at the Taycan’s range, it appears that the company still needs a few more iterations of its flagship electric car before it can expertly balance performance and range in a pure EV. The Tesla Model S Plaid is coming to establish itself as the undisputed king of consumer EVs, after all. If Elon Musk’s words are any indication, it would be a triple-motor monster with frighteningly quick acceleration and a range that’s still close to 400 miles.
That’s going to be a far tougher rival than the Tesla Model S Performance.
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.”
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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
