The Tesla Model 3 and the Polestar 2 were recently pitted against each other by motoring outlet Top Gear. During the magazine’s review, the two vehicles were compared according to their efficiency, performance, and overall long trip capability, to name a new. As it turns out, it appears that the Polestar 2 is both the Model 3’s current biggest rival and strongest ally.
The Model 3 and the Polestar 2 are comparatively priced, with both vehicles commanding a price of about £600 per month in the UK. The two vehicles are also comparable when it comes to their batteries, with the Model 3 sporting a 75 kWh pack and the Polestar 2 being equipped with a 78 kWh unit. Consumption favors the Tesla during a 500-mile drive, however, as the Model 3 consumed 28.4 kW per 100 miles as opposed to the Polestar 2’s 35.7 kW per 100 miles. Part of this is due to the Polestar 2’s weight, which is about 595 lbs heavier than the Model 3.
That being said, when it comes to raw performance, the Model 3 proved to be far zippier than the Polestar 2, with the Tesla hitting 60 mph in 3.2 seconds and the Polestar 2 taking 4.4 seconds to hit highway speed. Top Gear then mentioned something quite interesting. During their test, they opted to put the Model 3 on Chill Mode for the most part while they were operating the vehicle. But even with Chill Mode, the Model 3 still made the Polestar 2 work hard to keep pace.
“This Tesla is the 450bhp Performance, and it pulled an easy ten lengths on the Polestar off every roundabout or away from each village, but we found ourselves driving it in power-reducing Chill mode most of the time, simply to escape the sudden, neck-straining step-off every time we gently pulled away. It’s very eager. Even in reverse, which is a bit disconcerting. Chill mode smoothed the throttle nicely and still made the Polestar work hard to keep pace,” the publication noted.
One thing that stands out is the fact that unlike the Model 3, which was built as an all-electric vehicle, the Polestar 2 is actually built on Volvo’s CMA architecture, which also underpins the popular XC40. The Polestar 2 is also made with steel panels, which are heavier than the aluminum that’s used in some parts of the Model 3. But despite this, the motoring publication noted that the Polestar, like the Tesla, does not feel heavy on the road at all, thanks to its low center of gravity.
Top Gear did state that there are some areas where the Model 3 falls beneath the Polestar 2. One of these is the vehicles’ interior quality, which is an area where Polestar excels in. Another concerns the two vehicles’ driving dynamics. The publication noted that the softer sprung Tesla gets a bit jiggled from side to side and it does not have impressive body control. The Model 3’s steering was also described as “pretty nasty,” as it has an initial resistance that fades as the driver turns.
The publication noted that the Model 3’s steering could not be described as “sporty or involving,” just effective. On the other hand, the Polestar 2’s steering and controls were described as reassuring in the way that they are “meatier and more satisfying.” But despite these drawbacks, the Model 3 still rides more comfortably compared to the Polestar 2.
The two vehicles also compare very well when it comes to their tech, as the Polestar 2’s Google-powered software experience stands pretty well against Tesla’s custom OS for the Model 3. Both vehicles have robust driver-assist features as well, though Top Gear noted that both Tesla and Volvo’s autonomous efforts still have large areas for improvement. This is especially true for Tesla, which sells a Full Self-Driving suite for the Model 3. Both cars are capable of long-distance travel, thanks to the Supercharger Network and Polestar’s partnership with Plugsurfing. But between the two, the Model 3 provides a faster, easier charging experience.
Ultimately, the Polestar 2 is a stellar effort on Volvo’s part. It’s attractive, well-built, and it carries the best of Volvo’s tech and features in an all-electric package. That being said, Top Gear concluded that ultimately, the Model 3 would likely still be the vehicle to choose if one were looking for an electric car, simply because it provides a more complete ecosystem of ownership.
“The Polestar experience is still very Volvo – and there’s nothing wrong with that. No Volvo drives as well as this, nor oozes more Scandi calmness and cool. It’s pure hygge. I know this is less than analytical but I love what it stands for, what it looks like, it’s the one I’d rather be seen driving and yet… the Tesla wins. Given a straight choice between the two, that’s the one I’d drive away. Nothing to do with its speed or autonomy – the two things usually championed by the Teslarati – but because of its ease of use, efficiency, the supercharger network. It’s the more complete mode of transport,” the magazine noted.
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
