Are you looking to order a Tesla Model 3 soon? You might be waiting a while for it to show up at your local Showroom to accept delivery if you are in the United States. According to Tesla’s online Design Studio, demand for the all-electric sedan’s Long Range All-Wheel-Drive variant continues to skyrocket, and new order delivery dates are being prolonged to dates as late as November. Currently, expected delivery is slated at between 10-16 weeks for the Model 3 configuration. Demand for the vehicle is still rising, just in time for the company to open a new production plant in Texas that will assist consumers’ ever-growing want for the car.
Tesla’s all-electric vehicles, especially its mass-market Model 3 and Model Y, have been among the most popular EVs globally. In mid-June, we reported that the Long Range Model Y was nearly sold out for Q3 as estimated delivery dates had extended to the final month of the quarter. The demand for the Model 3 has evidently surpassed that of its automotive sibling, with delivery dates for the Model 3 extending into mid-November.
Tesla’s Design Studio for the Model 3 Long Range has extended the estimated delivery time frame to 10-16 weeks, meaning the earliest scheduled delivery for new orders would be the final week of September. The latest would be the second week of November.
Credit: Tesla
The Model 3 has been Tesla’s best-seller globally for some time, only eclipsed by the Model Y in some regions like Tesla’s home state of California. However, the Model 3’s affordable price points combined with industry-leading software and range ratings make it an ideal choice for consumers, especially if it’s their first time buying an electric car. Outside of the United States, the Model 3 has remained a dominator of many EV-heavy markets, including Norway, Ireland, and Japan. The Model 3 has cemented itself as a Top 3 vehicle in China, sparring for the top spot with the Wuling HongGuang Mini EV for nearly a year straight.
Tesla’s profitability in Ireland doubles with Model 3 taking center stage
Tesla has continued to grow its production and delivery figures quarterly. On July 2nd, Tesla reported it had produced 206,421 cars in Q2, with 201,250 vehicles being delivered. This was an increase from Q1, where the automaker reported 180,338 vehicles produced, with 184,800 deliveries. Both quarters were overwhelmingly dominated by the Model 3 and Model Y.
The Model 3 is manufactured at Tesla’s Fremont Factory in Northern California currently. Within the coming months, it will also be produced at Tesla’s Giga Texas facility near Austin. The Texas plant will produce Model 3s for customers in the Eastern half of North America, while the Fremont plant will continue its production for the Western portion of the continent.
It is interesting to note that the Model 3 Long Range is not the least expensive variant of the all-electric sedan. However, this has not stopped the car from having the most prolonged delivery date. The vehicle has 353 miles of range and a lightning-quick 4.2-second 0-60 MPH time. The car offers sufficient range with incredible performance, making it an ideal combination for consumers who want a little taste of both.
As demand for the Model 3 and Tesla’s other vehicles continues to grow, the company continues to expand its footprint of factories to handle the increasing demand for its cars. While Tesla is currently building its vehicles in Fremont and China at Giga Shanghai, Tesla will open the Giga Texas plant and its first European factory, Giga Berlin, later this year.
Disclosure: Joey Klender is a TSLA Shareholder.
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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.