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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.
Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
