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Tesla Model 3 Performance wins over longtime BMW enthusiast: ‘this is an iPhone moment’
Indie app developer Moshen Chan has been an avid BMW enthusiast for ~20 years. Having a passion for high-speed driving, he has spent a lot of time experiencing the legacy automaker’s Ultimate Driving Machines firsthand. Moshen now drives a Tesla Model 3 Performance, after a test drive with the electric sedan proved that it was a powerful, feature-ridden, and compelling vehicle that could very well be beyond anything that the German veteran automaker currently has to offer.
The indie app developer shared his experience in a series of lengthy posts on a BMW forum, Bimmerfest.com. Chan notes that over the years, he has driven several BMWs, and today, he owns a modified E36 325i with track suspension setup, as well as an E82 135i with Performance Suspension and several other M3 suspension part upgrades. Being in the market for a new vehicle, he was looking at the BMW M2 Competition, the latest iteration of the BMW M3, and lastly, the Tesla Model 3 Performance.
The test drive with the Model 3 Performance proved to be the difference-maker. The BMW enthusiast stated that he was simply blown away by the vehicle, from its hyper-low center of gravity, its low polar moment of inertia, to its silent, instant, brutal acceleration. Chan stated that Tesla ultimately “threw a curve-ball to everything (he) knew about sport sedans & performance cars” and that overall, the Model 3 Performance “absolutely outperforms anything BMW has to offer today.” The app developer further noted that his test drive with the Model 3 Performance was an “iPhone moment.”
“I can say I was very hesitant on the ultra minimalist interior but now I absolutely love it. For me this is an iPhone moment – when a new product suddenly makes everything else seem outdated and old,” Chan wrote.
The indie app developer admits that his Model 3 Performance is not a perfect car and that Tesla still has a lot to learn in terms of customer service, delivery, and providing enough spare parts for its ever-growing fleet. Despite these, Chan noted that he has no regrets with the Model 3 Performance, as the car has now taken over the mantle of the “Ultimate Driving Machine,” at least in terms of his current standards.
“BMW has better build quality. It has more refined finishing and details. That stuff makes me feel good, I guess. But for me, it’s the driving experience that really matters. The overall package of what the Performance Model 3 does for me – greatly makes up for those areas that BMW is better at,” he wrote.
The BMW enthusiast notes that he is not the only one in his circle who committed to the Model 3 Performance. One of his acquaintances, a driving instructor for his local BMW CCA, is selling his M3 and ordering the electric sedan after a test drive as well. Chan, for his part, notes that he would still be keeping his E36 325i for days when he feels like driving a manual transmission, but his E82 135i is going up for sale soon.
The Model 3 Performance is Tesla’s latest high-performance vehicle. Being the first P-branded model fitted with the company’s 2170 cells, the Model 3 Performance is looking to be the first of Tesla’s vehicles that can be driven hard for extended periods of time. When Elon Musk announced the vehicle’s specs, he noted that the electric sedan would be ~15% faster than a BMW M3 around the track. Later reviews of the car from prominent auto publications such as Car & Driver and Road & Track have compared the Model 3 Performance favorably to Germany’s best high-performance sedans like the BMW M3 and the Audi RS5 as well.
It should be noted that the Model 3 Performance’s killer feature has not been rolled out to the fleet as of yet. Tesla has revealed that the Model 3 Performance would eventually be given a dedicated Track Mode, which Elon Musk dubs as an “Expert User Mode” for the vehicle. Initial tests of Track Mode have been positive so far, with reviewers stating that the feature allows drivers to perform advanced, aggressive driving maneuvers (such as drifting) without any issues.
Even without Track Mode, the Model 3 Performance is already establishing itself as a quick, capable vehicle, and one that is seemingly more powerful than what Tesla suggests. The electric car’s 0-60 mph acceleration, for one, is listed as 3.5 seconds by the company, but VBOX tests on a fully charged, completely stock Model 3 Performance show that the vehicle is capable of going from 0-60 mph in just 3.18 seconds. With an upgraded suspension setup, better tires, and Tesla’s future software updates, it would not be too improbable look forward to a Model 3 Performance doing 0-60 in 3 seconds flat.
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
