Tesla’s Q3 Update Letter revealed that the electric automaker is trending toward a possible manufacturing rate of 1 million vehicles a year after a 25% increase in Quarter-over-Quarter Model 3 and Model Y production at the Fremont facility was listed in the document. Between Fremont and Giga Shanghai, Tesla is currently operating with an annual production rate of 840,000 cars a year.
Tesla’s production of both the Model 3 sedan and Model Y crossover increased from 400,000 to 500,000 vehicles annually from Q2 to Q3. The two update letters, which detail the company’s progress during two separate three-month spans, indicate manufacturing efficiency and newly installed production lines.
The company wrote:
“We have recently increased capacity of Model 3 / Model Y to 500,000 units a year. In order to do this, we restarted our second paint shop, installed the largest diecasting machine in the world, and upgraded our Model Y general assembly line. Production should reach full capacity toward the end of this year or beginning of next year.”
Tesla (TSLA) crushes Q3 earnings with record profit, accelerates global growth
The increase in production is expected, as Tesla expanded its Model Y production line at the Fremont plant in mid-July. The company filed several applications on the City’s Public Access website, which detailed planned advancements of “General Assembly 4.5,” which is designated for Tesla’s newest vehicle’s manufacturing processes.
Additionally, the installation of two die-cast machines allowed for the Model Y’s single-piece casting design, which increased safety and manufacturing efficiency.
Tesla readies Model Y Giga Press for next-level production efficiency
But the global push toward electrification for Tesla goes far beyond Northern California. In China, the company’s Giga Shanghai facility has a production capacity of 250,000 Model 3 units a year. The company detailed its advancements at the plant in the Q3 Update Letter:
“Model 3 production capacity has increased to 250,000 units a year. We reduced the price of Model 3 to 249,900 RMB after incentives, making it the lowest-price premium mid-sized sedan in China. This was enabled both by lower-cost batteries and an increased level of local procurement. As a result of this shift in cost and starting price, we recently added a third production shift to our Model 3 factory. “
Currently, the Model 3 is the only Tesla vehicle produced at the facility. However, the company plans to begin building the Model Y at Giga Shanghai by the end of 2020.
With Fremont and Shanghai producing 590,000 and 250,000 vehicles annually, Tesla is on track to reach a manufacturing rate of 1 million vehicles per year. It is possible that with Giga Shanghai’s introduction of the Model Y, the two plants could reach the million vehicle threshold together. However, Tesla has plans for two other factories that will contribute to an ever-growing annual production rate.
In Germany, Giga Berlin is quickly taking shape, and Tesla plans to begin production at this facility in 2021. The company also detailed the progress at its first European plant by saying:
“Construction of the Gigafactory in Berlin continues to progress rapidly. Buildings are under construction, and equipment move-in will start over the coming weeks. At the same time, the Giga Berlin team continues to grow. Production is expected to start in 2021.”
Finally, Tesla is also working on building another U.S.-based plant in Austin, Texas, which will introduce the Cybertruck and Semi, and also produce the Model 3 and Model Y for East Coast customers.
Tesla reported its fifth-consecutive profitable quarter, announcing revenue of $8.771 billion for the quarter, and non-GAAP earnings per share of $0.76. Additionally, Tesla posted $809M GAAP operating income, resulting in a 9.2% operating margin. The company also ended the third quarter with $331M GAAP net income and $874M non-GAAP net income (ex-SBC).
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
