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Tesla Model Y vs Model 3 casting comparison shows that legacy auto’s ‘soil-your-pants’ moment is at hand
Back in April 2018, automotive teardown expert Sandy Munro mentioned that if Tesla had contracted an experienced automaker to produce the early-production Model 3’s body, the electric car maker would have “wiped the floor with everybody.” This is because from the suspension down, the Model 3 was a stellar piece of engineering, despite its body having several issues.
Its electric motors were compact, powerful, and cost effective; its batteries are the best in the industry, and its driving dynamics give the impression that the vehicle was riding on rails. Munro noted that if Tesla had hit a home run with the Model 3’s “dinosaur technologies” like its welds and casts, even veteran auto giants like Toyota would appropriately be “crapping their pants.”
It has been nearly two years since Munro mentioned those words during an appearance at YouTube’s Autoline After Hours. Tesla has changed a lot since then, and the company has even released its latest vehicle, the Model Y crossover. Sharing 75% of the Model 3’s parts, the Model Y is designed as a mass-market electric vehicle, and one that can be even more disruptive as its sedan sibling.
Munro, for his part, has acquired and started a teardown of the all-electric crossover. And based on his findings thus far, it appears that Tesla’s “dinosaur technologies” have improved vastly since the Model 3. This is most evident in the rear casting utilized on the two vehicles.
One look at the Model Y and Model 3’s rear casts shows that the two vehicles are already worlds apart in terms of build quality and design. Munro noted that he did not like the Model 3’s rear casting at all, since it was also over-engineered, with about 100 parts utilized for its rear trunk.
In a way, the Model 3’s rear casting represented the hubris that Elon Musk has admitted to in the past, as it showed Tesla essentially trying to fix something that is not necessarily broken. The result of this was a lot of challenges for Tesla, and a lot of issues with the early-production Model 3’s rear casting.
The Model Y is an entirely different animal. The all-electric crossover features what could only be described as a giant rear casting that is the complete antithesis of the Model 3’s. It has few parts, its welds are consistent, and it features a trunk tub that is similar to those utilized by the world’s best automakers. It’s pretty much what the Model 3 could have been if Tesla was more experienced when they started building the all-electric sedan.
If the Model 3’s rear casting was an exercise in hubris, the Model Y’s rear cast is an exercise in humility. It showed that Tesla is flexible, and that it’s willing to learn, even if it meant abandoning its initial plans and starting from the ground up. Tesla evidently abandoned the early-production Model 3’s rear casting and trunk design. And it’s all the better for it.
A lot of this could be attributed to Elon Musk himself. Munro has noted in the past that he and the Tesla CEO had talked over the phone during his Model 3 teardown, where Musk explained the reasons behind some of the findings about the all-electric sedan. Munro’s firm later sent Tesla a pro bono list of over 200 suggestions that can improve the Model 3’s body.
These suggestions seem to have come to life in the Model Y. Granted, the teardown process for the all-electric crossover has only just begun. Still, several aspects of the vehicle, most notably its rear casting, shows that Tesla did learn from the Model 3, and it has become a much more mature automaker today. Other suggestions from the teardown expert were also applied to the Model Y’s other components, such as its wiring.
It should be noted that Tesla’s fast evolution is partly due to the company’s Silicon Valley startup roots. Startups are notorious for quick, drastic changes in direction, and workers at these companies are required to be tough and flexible. Tesla embodies this, making the company notoriously challenging to work for compared to conventional car companies like GM or Ford.
Yet despite this, Tesla has ranked consistently among the most attractive firms for engineering students. This is because in Tesla, conventional corporate bureaucracy is replaced with an open communication system that allows even interns to share their ideas with company executives. Some of the issues in the Model 3’s early production lines, for example, were addressed by interns, who were later hired full-time by Tesla.
The Model Y is a crossover, which means that it is competing in one of the fastest-growing segments in the auto industry today. With the Model Y, Tesla has the chance to make its biggest mark in the market yet. Fortunately, the electric car maker appears to have done its homework before it released its newest vehicle. One could even argue that Tesla released the Model Y at the perfect time. A mass-market all-electric vehicle that can disrupt the market of crossover SUVs requires a mature company, after all, and Tesla has only started to fit this bill recently.
Just two years ago, Munro mentioned that if the Model 3 had a properly-built body, veteran automakers like Toyota would be “crapping their pants” because of how outclassed they would be. With how the Model Y is turning out, it appears that legacy auto would be wise to keep some extra pairs of pants for the coming years, just in case.
Watch a deep dive into the Tesla Model 3 and Model Y’s rear casts in the video below.
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.”
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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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
