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What We Know About the Tesla Model 3 and What We Don’t
We have some idea about the size and features of the upcoming Tesla Model III. What we don’t know is what it will look like or how much it will cost.
Tesla has been tight lipped about the Model 3 that is in the works. Elon Musk says it won’t look like any other car on the road, but what does that mean? Will it have 6 wheels or a raised seating platform so drivers can look down on the other, more mundane cars on the road? For guidance, we need to look at the words of Elon Musk himself.
Here’s what we know about the Tesla Model 3:
1. The Model 3 will be about 20% smaller than the Model S, says Musk. But in typical faction, he adds a hook to that statement. “One easy thing to do would be to make a 20 percent smaller Model S. That would be easy to do, but I think we might be able to do a few more interesting things than just that.”
2. It will probably be powered by the smaller of the two motors currently used by the Model S. “That smaller drive unit in many ways is a precursor for the Model 3. Because it represents a significant improvement in cost, and in steady state power, and a number of other factors. It’s a second generation motor, essentially, and that’s a good pathfinder for Model 3 on the powertrain side.”
3. It will have two separate versions, but not right away. “There are things we could do with the Model 3 platform that are really adventurous but would put the schedule at risk. So what we’re going to do is have something that’s going to be an amazing car, but it won’t be the most adventurous version the Model 3 to begin with. But we will then have the more different version of the Model 3, on the Model 3 platform, following the initial version.”
RELATED >>> Affordable Tesla Model 3 will utilize steel construction
4. It will arrive on time. Tesla seems to have learned from the on again/off again scheduling of the Model X that it is important to get this car to market when promised. A concept version of the Model 3 is expected to appear early in 2016. “We don’t want the delays that affected the X to affect the Model 3. We’re really being quite conscientious about this.”
Here’s what we don’t know:
1. What will the Model 3 look like? Stumpf Studio has released some design studies that may — or may not — offer clues to the appearance of the Model 3. Auto Moto has also floated its notion of what the Tesla Model 3 might look like on the internet. Bear in mind that neither are officially sanctioned by Tesla, even though the Stumpf Studios efforts include the official company logo. The Auto Moto concept incorporates some of the design language of the latest Jaguar F Type coupe, especially at the rear.
The one thing everyone seems to agree on is that the car will be a hatchback. Partly that’s because the Model S and the Model X have hatches and partly that’s because a a smaller car almost begs for a hatch in order to allow families to fit all their stuff inside.

One enthusiast’s rendition of what a Tesla Model 3 compact may look like. (Source: Autoevolution.com)
2. How much will the Model 3 cost? Elon Musk has said that Tesla will be selling “millions” of cars in a few years. But it won’t be selling millions of its Model S cars, despite the fact that the Model S is a wonderful automobile. Tesla needs a moderately priced car if it hopes to become a volume seller.
As far as anyone knows, the Model 3 is the car that will make Tesla a leader in the car business. That means getting the pricing right is critical to the company’s future. It is widely believed that the Model 3 will have about 200 miles of range and sell for around $35,000 after all federal and state incentives. But is that realistic?
One skeptic, Menahem Anderman, predicts Tesla will have to charge at least $50,000 for the Model 3 in order to make money. Anderman is not some flake. He has organized the Advanced Automotive Batteries Conference for almost two decades now.
3. When will it arrive? There are rumors that a concept car will appear in the spring of 2016, with production beginning sometime in 2017. But Elon Musk, despite his many good qualities, has always been overly optimistic about when Tesla products will be market ready. The Model S was almost two years late arriving and the Model X has had numerous delays.
How accurate is that “sometime in 2017” prediction for the Model 3? That’s anybody’s guess. One thing is for certain, though. The Model 3 will probably not feature anything resembling the “falcon wing” doors that are the trademark of the Model X.
Source: CleanTechnica
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.

