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Tesla updates Supercharger pricing structure, rolls out in-car payment feature
Tesla has updated the pricing structure for its Supercharger network, including terms for its existing idle fee policy. The idle fee update will impact all Model S, Model X, and Model 3 drivers that utilize the company’s high-powered, global charging network, regardless of whether they are enrolled in free unlimited Supercharging or not.
Supercharger idle fees, first introduced in late 2016 as a means to deter vehicle owners from occupying a charging stall when the vehicle has already met its intended state of charge, have been updated to further encourage owners to move their vehicles from stalls and improve the Supercharging experience for all drivers. Tesla has updated the flat idle fee of $0.40/minute to take into account station occupancy, as follows:
Supercharger Idle Fee
(updated September 19, 2018)
- Supercharger 50% occupied: $0.50/minute idle fee
- Supercharger 100% occupied: $1.00/minute idle fee
Tesla notes in its Supercharger FAQ that drivers will be granted a 5-minute grace period during which time a fee will not be incurred. Once this grace period passes, the driver will be charged for the 5-minutes and each additional minute after that. Vehicle owners will continue to receive reminders through Tesla’s app when the vehicle is nearing its intended state of charge.
In-car Payment
Additionally, Tesla has begun to roll out an over-the-air software update (not Version 9) that will include a new in-car payment feature. The new functionality will provide Model S, Model X, and Model 3 owners who leverage pay-per-use Supercharging with the ability to pay from within their vehicle, by inputting credit card information directly into the center touchscreen. The feature will also enable drivers to pay for any incurred idle fees.
The in-car payment functionality is an extension of the credit card section within an owner’s Tesla Account page, or previously known as the MyTesla page. Credit card information entered through the in-car payment feature will automatically be registered to the vehicle owner’s Tesla account and also serve as payment for any incurred idle fees or Supercharger use fees.
Also introduced in today’s Supercharger pricing structure update is a $50.00 cap wherein Supercharger access will automatically be disabled if there’s an outstanding balance due for Supercharger fees, either incurred through idle fees or Pay Per Use, and when a credit card is not on file. Supercharger access will instantly re-enable once the balance is paid. Tesla will also have the ability to grant Supercharger access to a vehicle, remotely, in the event of an emergency.
The pricing update and software release are being implemented in North America first, followed by a global rollout.
It’s About the Greater Good
Although the latest Supercharger update may be unwelcomed by some Tesla owners that have previously benefitted from the company’s good faith gesture to extend its charging network, largely unenforced, to its drivers, the change is an improvement to its policy that has a significant benefit to the overall community.
When the Silicon Valley-based electric carmaker first created its Supercharger network, the intention was to make long-distance travel an enjoyable and seamless experience for all drivers. But as Supercharger abuse became more rampant, combined with a massive increase in the number of Model S, Model X and Model 3 on the roads, being able to institute some sort of Supercharger fair-use enforcement policy became desperately needed. This is in spite of Tesla’s continued global scale out of its Supercharger and Destination charging network.
A Model X spotted occupying three Supercharger stalls at the Newark, DE Supercharger station went viral in 2016 after sparking outrage across the Tesla community.
Related: Calling all Tesla Supercharger abusers: Don’t ruin it for the rest of us
Today’s update to Tesla’s Supercharger policy will undoubtedly be one of many in the years to come, as the company continues to adjust and iterate toward a customer experience-focused model that’s also financially feasible.
A Tesla spokesperson tells Teslarati, “Based on feedback from the Tesla owner community, we are adjusting the idle fees associated with our Supercharging program to continue providing the best Supercharging experience as the size of our fleet grows. As has always been the case, our Supercharging and associated fees charged on the network are not meant to be a profit center for Tesla, and we hope to never need to bill for idle fees.”
More information can be found on Tesla’s Supercharger page.
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
