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Tesla Model 3 vs BMW i4: How hubris is killing a potential ‘Tesla Killer’
Recently, BMW took the wraps off yet another one of its concept electric vehicles, the i4 sedan. The BMW i4 is poised to rival the Tesla Model 3, an electric car that is so disruptive, it is shaking up the midsize high-performance sedan market. Unfortunately for the German carmaker, one has to wonder if BMW’s efforts with the i4 are simply far too late.
Behind the possible clash between the Tesla Model 3 and the BMW i4 is a history that spans years, all the way back to 2013, when Tesla was just starting the production of its flagship Model S and the German automaker was coming up with the i3. But despite the two vehicles being all-electric cars, they could not be any more different.
Tesla designed the Model S as a sedan that can take on the Mercedes-Benz S-Class, and it has the looks, range, and performance to match. BMW, on the other hand, designed the i3 like a novelty vehicle, with a carbon fiber body, limited range, and performance that’s at home in inner-city streets. This distinction between the Model S and i3 foreshadowed the future of the two companies’ electric vehicle programs, as Tesla would follow up on the Model S with the Model X and Model 3, and BMW would end up being stuck with the i3 until today.
Yet despite having just one key pure electric car in its lineup, BMW has put a lot of effort in convincing the auto industry that it is taking electric vehicles seriously. Concept after concept was unveiled to much fanfare, but so far, none of the company’s fancy vehicles like the iNext have a legitimate release date. While this was happening, Tesla was growing, refining its processes, and making its vehicles like the Model 3 even better.
The Model 3 may not be the quickest vehicle in Tesla’s lineup, but it is the most disruptive. Priced aggressively and designed to take on the most established premium midsized sedans like the BMW 3-Series and the Mercedes-Benz C-Class, the Model 3 was poised to make waves, and make waves it did. The Model 3 Performance, the most powerful of the lineup, even managed to beat the legendary BMW M3 on the track, hands down. The idea of an electric sedan outperforming the M3 on the track would have probably warranted mockery had it been suggested during the days of the Model S and i3, but it is a painful truth that the German automaker has to swallow now.
It was not long before it was evident that the i3 won’t be enough to take on vehicles like the Model S or Model 3. Yet, BMW seemed to still take its sweet time developing its electric cars, with some executives even adopting the narrative that there is not enough demand for pure EVs anyway. It is then unsurprising that today, Tesla’s lead in electric mobility has become so stark, it is almost embarrassing for some legacy automakers like BMW.
When BMW announced the unveiling of its i4 concept on Twitter, the electric vehicle community immediately poked fun at the automaker for showing off yet another concept car. The car had impressive specs, though, with BMW stating that the i4’s single motor will generate about 530 hp, about on par with one of the automaker’s V8 engines. The i4 is pretty quick too, with a 0-62 mph time of about 4 seconds. Range-wise, estimates point to the i4 having about 270 miles in between charges.
While these specs are decent and a notable improvement over the i3, the i4 does show several signs suggesting that BMW is still not going all-in on electric cars. A look at the vehicle’s exterior alone shows that the i4 is still designed like a conventional car, with a long sloping hood that lacks any sort of frunk due to the space being allotted for electronics. Overall, the i4 boasts an attractive design that would likely end up being a template for the next-generation BMW 3-Series, but a ground-up EV it does not seem to be.
And here lies the issue with BMW so far. It appears that even after years of the i3 never really taking off, the company is still under the impression that it can ride the EV wave with a car that is just adequate in features and performance. Considering BMW’s long history as an automaker, such appears to be a big sign of hubris. And at this point in the EV race, that could be very costly.
BMW is one of three prolific auto houses in Germany, and so far, it is the one that seems to be lagging behind the most when it comes to electric vehicles. Daimler may be seeing challenges with the Mercedes-Benz EQC, but the company has some fallback in the company’s electric trucks like the Freightliner eCascadia, which only has a few rivals like the Tesla Semi.
Volkswagen has adopted a very aggressive strategy with its EV push. So serious is VW with its electric cars that the company’s CEO, Herbert Diess, is pretty much putting his career on the line to ensure that the automaker can roll out a mass-produced vehicle like the ID.3, a car that has the potential to be this generation’s Beetle. And then there’s BMW, still with its concepts, and a Model 3 competitor that is still over a year away at the best case scenario.
The term “Tesla Killer” has become ubiquitous with the number of electric cars that are being developed by legacy automakers. Yet over the years, each and every one of these alleged killers, from the Chevy Bolt to the Jaguar I-PACE, have proven to be incapable of outgunning Tesla’s electric cars in their own game. For the i4 to be a legitimate rival to the Model 3, it must beat Tesla with not just its badge’s pedigree. Otherwise, BMW may end up killing its “Tesla Killer” even before it had a chance to compete, thanks to an EV effort that is uninspired at best.
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Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
Tesla Full Self-Driving v14.2.2.5 hit my car back on Valentine’s Day, February 14, and since I’ve had it, it has become, in my opinion, the most confusing release I’ve ever had.
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
It has been about three weeks of driving on v14.2.2.5; I’ve used it for nearly every mile traveled since it hit my car. I’ve taken short trips of 10 minutes or less, I’ve taken medium trips of an hour or less, and I’ve taken longer trips that are over 100 miles per leg and are over two hours of driving time one way.
These are my thoughts on it thus far:
Speed Profiles Are a Mixed Bag
Speed Profiles are something Tesla seems to tinker with quite frequently, and each version tends to show a drastic difference in how each one behaves compared to the previous version.
I do a vast majority of my FSD travel using Standard and Hurry modes, although in bad weather, I will scale it back to Chill, and when it’s a congested city on a weekend or during rush hour, I’ll throw it into Mad Max so it takes what it needs.
Early on, Speed Profiles really felt great. This is one of those really subjective parts of the FSD where someone might think one mode travels too quickly, whereas another person might see the identical performance as too slow or just right.
To me, I would like to see more consistency from release to release on them, but overall, things are pretty good. There are no real complaints on my end, as I had with previous releases.
In a past release, Mad Max traveled under the speed limit quite frequently, and I only had that experience because Hurry was acting the same way. I’ve had no instances of that with v14.2.2.5.
Strange Turn Signal Behavior
This is the first Full Self-Driving version where I’ve had so many weird things happen with the turn signals.
Two things come to mind: Using a turn signal on a sharp turn, and ignoring the navigation while putting the wrong turn signal on. I’ve encountered both things on v14.2.2.5.
On my way to the Supercharger, I take a road that has one semi-sharp right-hand turn with a driveway entrance right at the beginning of the turn.
Only recently, with the introduction of v14.2.2.5, have I had FSD put on the right turn signal when going around this turn. It’s obviously a minor issue, but it still happens, and it’s not standard practice:
How can we get Full Self-Driving to stop these turn signals?
There’s no need to use one here; the straight path is a driveway, not a public road. The right turn signal here is unnecessary pic.twitter.com/7uLDHnqCfv
— TESLARATI (@Teslarati) February 28, 2026
When sharing this on X, I had Tesla fans (the ones who refuse to acknowledge that the company can make mistakes) tell me that it’s a “valid” behavior that would be taught to anyone who has been “professionally trained” to drive.
Apparently, if you complain about this turn signal, you are also claiming you know more than Tesla engineers…okay.
Nobody in their right mind has ever gone around a sharp turn when driving their car and put on a signal when continuing on the same road. You would put a left turn signal on to indicate you were turning into that driveway if that’s what your intention was.
Like I said, it’s a totally minor issue. However, it’s not really needed, and nor is it normal. If I were in the car with someone who was taking a simple turn on a road they were traveling, and they signaled because the turn was sharp, I’d be scratching my head.
I’ve also had three separate instances of the car completely ignoring the navigation and putting on a signal that is opposite to what the routing says. Really quite strange.
Parking Performance is Still Underwhelming
Parking has been a complaint of mine with FSD for a long time, so much so that it is pretty rare that I allow the vehicle to park itself. More often than not, it is because I want to pick a spot that is relatively isolated.
However, in the times I allow it to pull into a spot, it still does some pretty head-scratching things.
Recently, it tried to back into a spot that was ~60% covered in plowed snow. The snow was piled about six feet high in a Target parking lot.
A few days later, it tried backing into a spot where someone failed the universal litmus test of returning their shopping cart. Both choices were baffling and required me to manually move the car to a different portion of the lot.
I used Autopark on both occasions, and it did a great job of getting into the spot. I notice that the parking performance when I manually choose the spot is much better than when the car does the entire parking process, meaning choosing the spot and parking in it.
It’s Doing Things (For Me) It’s Never Done Before
Two things that FSD has never done before, at least for me, are slow down in School Zones and avoid deer. The first is something I usually take over manually, and the second I surprisingly have not had to deal with yet.
I had my Tesla slow down at a school zone yesterday for the first time, traveling at 20 MPH and not 15 MPH as the sign suggested, but at the speed of other cars in the School Zone. This was impressive and the first time I experienced it.
I would like to see this more consistently, and I think School Zones should be one of those areas where, no matter what, FSD will only travel the speed limit.
Last night, FSD v14.2.2.5 recognized a deer in a roadside field and slowed down for it:
🚨 Cruising home on a rainy, foggy evening and my Tesla on Full Self-Driving begins to slow down suddenly
FSD just wanted Mr. Deer to make it home to his deer family ❤️ pic.twitter.com/cAeqVDgXo5
— TESLARATI (@Teslarati) March 4, 2026
Navigation Still SUCKS
Navigation will be a complaint until Tesla proves it can fix it. For now, it’s just terrible.
It still has not figured out how to leave my neighborhood. I give it the opportunity to prove me wrong each time I leave my house, and it just can’t do it.
It always tries to go out of the primary entrance/exit of the neighborhood when the route needs to take me left, even though that exit is a right turn only. I always leave a voice prompt for Tesla about it.
It still picks incredibly baffling routes for simple navigation. It’s the one thing I still really want Tesla to fix.
Investor's Corner
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet,” BoA wrote.
Tesla received a tip of the hat from major Wall Street firm Bank of America on Wednesday, as it reinitiated coverage on Tesla shares with a bullish stance that comes with a ‘Buy’ rating and a $460 price target.
In a new note that marks a sharp reversal from its neutral position earlier in 2025, the bank declared Tesla’s Full Self-Driving (FSD) technology the “leading consumer autonomy solution.”
Analysts highlighted Tesla’s camera-only architecture, known as Tesla Vision, as a strategic masterstroke. While technically more challenging than the multi-sensor setups favored by rivals, the vision-based approach is dramatically cheaper to produce and maintain.
This cost edge, combined with Tesla’s rapidly expanding real-world data engine, positions the company to scale robotaxis far more profitably than competitors, BofA argues in the new note:
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet.”
The bank now attributes roughly 52% of Tesla’s total valuation to its Robotaxi ambitions. It also flagged meaningful upside from the Optimus humanoid robot program and the fast-growing energy storage business, suggesting the auto segment’s recent headwinds, including expired incentives, are being eclipsed by these higher-margin opportunities.
Tesla’s own data underscores exactly why Wall Street is waking up to FSD’s potential. According to Tesla’s official safety reporting page, the FSD Supervised fleet has now surpassed 8.4 billion cumulative miles driven.
Tesla FSD (Supervised) fleet passes 8.4 billion cumulative miles
That total ballooned from just 6 million miles in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and a staggering 4.25 billion in 2025 alone. In the first 50 days of 2026, owners added another 1 billion miles — averaging more than 20 million miles per day.
This avalanche of real-world, camera-captured footage, much of it on complex city streets, gives Tesla an unmatched training dataset. Every mile feeds its neural networks, accelerating improvement cycles that lidar-dependent rivals simply cannot match at scale.
Tesla owners themselves will tell you the suite gets better with every release, bringing new features and improvements to its self-driving project.
The $460 target implies roughly 15 percent upside from recent trading levels around $400. While regulatory and safety hurdles remain, BofA’s endorsement signals growing institutional conviction that Tesla’s data advantage is not hype; it’s a tangible moat already delivering billions of miles of proof.
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Tesla to discuss expansion of Samsung AI6 production plans: report
Tesla has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla is reportedly discussing an expansion of its next-generation AI chip supply deal with Samsung Electronics.
As per a report from Korean industry outlet The Elec, Tesla purchasing executives are reportedly scheduled to meet Samsung officials this week to negotiate additional production volume for the company’s upcoming AI6 chip.
Industry sources cited in the report stated that Tesla is pushing to increase the production volume of its AI6 chip, which will be manufactured using Samsung’s 2-nanometer process.
Tesla previously signed a long-term foundry agreement with Samsung covering AI6 production through December 31, 2033. The deal was reportedly valued at about 22.8 trillion won (roughly $16–17 billion).
Under the existing agreement, Tesla secured approximately 16,000 wafers per month from the facility. The company has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla purchasing executives are expected to discuss detailed supply terms during their visit to Samsung this week.
The AI6 chip is expected to support several Tesla technologies. Industry sources stated that the chip could be used for the company’s Full Self-Driving system, the Optimus humanoid robot, and Tesla’s internal AI data centers.
The report also indicated that AI6 clusters could replace the role previously planned for Tesla’s Dojo AI supercomputer. Instead of a single system, multiple AI6 chips would be combined into server-level clusters.
Tesla’s semiconductor collaboration with Samsung dates back several years. Samsung participated in the design of Tesla’s HW3 (AI3) chip and manufactured it using a 14-nanometer process. The HW4 chip currently used in Tesla vehicles was also produced by Samsung using a 5-nanometer node.
Tesla previously planned to split production of its AI5 chip between Samsung and TSMC. However, the company reportedly chose Samsung as the primary partner for the newer AI6 chip.
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
