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Tesla Model Y’s quiet cabin is a subtle, critical selling point for all EV buyers
When Tesla unveiled the Model 3 in the summer of 2017, the company had released its first affordable vehicle. The Model 3 had numerous selling points, though some first production vehicles were reported to exhibit a lot of road noise inside the cabin, especially at high speeds.
Model 3 owners looked for any number of ways to reduce the noise. These included aftermarket door seals, tire foam insulation, and other modifications. Later builds of the vehicle displayed an improved noise reduction system, as CEO Elon Musk had noted in October 2019 that cabin noise had been “significantly improved in current production” of the Model 3.
In a recent episode of Sandy Munro’s extensive Model Y teardown series, the automotive veteran took a look at the numerous improvements Tesla made to its electric crossover. While the Model Y is not a sedan like the Model 3, the two vehicles are effectively siblings as they share 75% of the same parts.
Tesla adopted several new strategies to keep the Model Y’s cabin quiet. According to Munro, the outer portion of the vehicle’s firewall was covered by a mat made of “lofted fiberglass.” Fiberglass is an excellent insulating material that is used within residential buildings and houses to maintain temperature. However, it is also useful for reducing sound due to its thick and dense nature.
The inside of the firewall, which faces inward toward the vehicle’s cabin is quite different. Tesla used polyurethane (PUR) and Thermoplastic Polyolefin (TPO). PUR is a material commonly used when soundproofing rooms and is usually shaped like an egg carton to deaden sound waves. TPO is traditionally utilized for roofing and uses a mixture of rubber, talc, glass, carbon fiber, and other materials to insulate heat and sound. It is also used to reduce cabin noise in cars, as its flexible nature allows it to be conformed to the twists and turns of a vehicle’s body.
Additionally, Tesla opted to use a series of pumpable and mastic sound deadener strips throughout the floorboard of the Model Y. These two materials can remove vibrations from the vehicle by stiffening the areas in the Model Y’s frame that are prone to excessive vibration. Both the pumpable and mastic sound deadeners were more frequently placed in the rear portion of the vehicle, where noise and vibrations are especially potent.
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- Tesla Model Y Mastic Strip (Credit: MunroLive on YouTube)
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- Tesla Model Y Pumpable Sound Deadener (Credit: MunroLive on YouTube)
Tesla’s installation of these elements provided a much quieter ride for passengers and drivers. Long drives on highways at speeds of 55 MPH or more can prove to be some of the noisiest driving conditions, regardless of whether one is driving an EV or a petrol-powered car. This is due to wind, tire friction with the road, and outdoor weather conditions. These noises are easier to notice in an electric car, since the lack of a working internal combustion engine pretty much amplifies other noises in the cabin.
Tesla seems to have set out to make the Model Y its quietest car yet, and it seems to have succeeded. This is reflected in the feedback of some Model 3 owners, such as YouTube host Brian Jenkins, who recently posted a video documenting his favorite features of the Model Y after 1,200 miles of driving. Jenkins notes the Model Y’s quiet ride is one of his favorite features. He added that he expected more cabin noise, but the Model Y’s cabin remained quiet. Prior to getting a Model Y, Jenkins drove a Model 3 that he fitted with noise reduction seals.
Interestingly enough, Tesla has released Joe Mode last year, a feature that reduces the audible alerts in the vehicle’s rear to prevent kids from waking up during nighttime trips. Coupled with the Model Y’s already-quiet cabin, features like Joe Mode will be extra effective. It can even be an additional selling point for the vehicle. Every parent out there who has attempted long road trips with kids would attest to the importance of a quiet cabin when the kids are asleep, after all.
Watch Sandy Munro’s breakdown of the Model Y’s cabin noise reduction below.
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
