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Tesla Giga Berlin Model Y production appears to have quietly reached 6k per week
Recent comments from Tesla Giga Berlin employees have hinted that the facility has achieved a production rate of 6,000 Model Y crossovers in one week.
Tesla recently posted a video of Giga Berlin’s employees describing the work culture in the plant. As per the Giga Berlin workers in the video, Tesla is a company where the motivated could grow and reach heights. Tesla Quality Engineer Lars Lengacker highlighted these sentiments in a post on LinkedIn. He also showed a video of his Quicksilver Model Y with some commemorative shirts.
As can be seen in the Tesla employee’s video, the majority of the shirts in the Model Y commemorated some of the facility’s production milestones, as hinted at in shirts printed with “1k,” “2k,” “3k,” and so on. Interestingly enough, one of the shirts has “6K” printed on it, hinting that the facility had reached a production milestone of 6,000 Model Y per week.
This milestone was seemingly confirmed in a related LinkedIn post from Tesla Director of Quality Bob Foulkes, who noted that the shirts in Lengacker’s Model Y were indeed “trophies” of the Tesla Giga Berlin team’s achievements — all the way to 6,000 vehicles per week. Foulkes also shared his excitement for 2024, as Giga Berlin is just getting started.
“Your post is something that we all feel at Giga, something that pulses through us, a pride in what we’ve achieved. The hood of your new beautiful Quicksilver Model Y scattered with trophies of our achievements – 1K all the way to 6K and beyond.
“I believe this feeling comes from the blood, sweat, and tears of getting to where we are. We all chose the opposite of easy. We chose to fight, to pioneer, to build to go our own way and create. This choice has led us into the history books, not only is Model Y the best selling car on the planet, it’s the first time in History that an Electric Vehicle outsold the others – this belongs to you team.
“For those that have never worked in a mission driven teams, it is the highest form of recognition, we are living our dreams. To my Quality team, thank you for your drive and dedication to deliver over 200 000 cars from Giga Berlin. Your work has sent ripples of change through the world, and I’m hugely proud of you. Looking forward, 2024 has many challenges and successes in store for us and those who will join our mission. Our journey is only just beginning,” Foulkes wrote.
Interestingly enough, Giga Berlin’s Model Y production is currently paused due to supply chain issues arising from the conflicts in the Red Sea. As per previous reports, Giga Berlin’s Model Y production would be halted from January 29 to February 11, 2024. “The armed conflicts in the Red Sea and the associated shifts in transport routes between Europe and Asia via the Cape of Good Hope are also having an impact on production in Gruenheide. The considerably longer transportation times are creating a gap in supply chains,” Tesla noted in a statement.
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Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
