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Tesla Model S Charging Costs in Australia
Tesla Motors seen as a key sponsor of Web Directions in Sydney, Australia.
More than 2 years after the it first went on sale in the US the Model S arrived in Australia in late December 2014. As an early owner of the Model S the car generates a lot of interest from friends, neighbours and the general public when you’re out and about. One of the most common questions is how much does it cost to run. We need a new language to describe this as litre’s per 100km doesn’t work and a “full tank” in a Model S is less than a normal tank in a modern petrol car. The answer I find people find easiest to understand is $11 for a full charge which lasts for around 500kms.
Compared to a petrol car this is great, current models will give you 500 – 1000kms from a tank but you’ll spend $50 to $100 to fill them up (at the current, and relatively cheap fuel prices).
Victorian Government’s initiative called for an expansive roll out of digital smart meters across residential and small businesses. Source: Energy Australia
To understand where the $11 comes from let’s dig into electricity pricing in Australia a little more. Historically homes have been configured with analog meters. All the power we use is charged at a flat rate day and night. Optionally an off peak circuit was often installed which was only connected to the hot water service. Available into two variants supply is remotely controlled by the electricity company for circa 6 or 12 hours per day.
More recently smart meters are being installed on new dwellings and with consumers that have added solar photovoltaics to their home. In certain states such as Victoria blanket rollouts of smart meters have been known to occur. Once installed electricity is charged on tariffs that vary across different times of the day for weekdays and weekends. Tariffs vary across networks but generally consist of a peak morning or late afternoon & evening period, shoulder during the remaining waking hours on weekdays and across the weekend and off peak for overnight.
Charging Costs and Meter Options in Australia
For both analog and smart meters the difference in tariffs between their maximum and minimum are material. From a low of circa $0.10/kWh on off peak to a high of $0.50/kWh in peak periods.
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Analog Meter
- If you’re on an analog meter you can wire your charger to a standard circuit and charge at any time, or choose one of the two controlled load circuits to get cheaper power but with less control. Note that you can’t mix standard and controlled circuits so you’ll have to choose one or the other. Having the electric company control when to supply your electricity may not work for you if you plan on taking consistent high length trips in your Model S each day. Especially since you’ll likely require a nightly charge with a guarantee of no interruption.
Smart Meter
- If you’re on a smart meter, find out what time your off peak starts, configure your Tesla Model S to start charging at this time, plug in every night and you’ll almost certainly be charging on the cheapest power all the time. The off peak periods are long enough to get a full charge on a standard 32 Amp charger for all but the most depleted of batteries. On the rare occasion that you can’t complete your charge during the off peak period you’ll simply push the small remaining part into a shoulder or peak tariff.
A smart meter provides much greater flexibility, but the real cost of changing from an analog needs to take into consideration your whole home.
The average Australian home uses around 20kWh of electricity per day or and the average vehicle travels 270kms per week. In Model S terms this equates to 140 kWh per week on your home and 55-65 kWh per week to charge the car.
Obviously these figures vary enormously depending on your personal home and driving habits but car charging is likely to remain the smaller part.
What about charging from solar? Everyone that has solar has a smart meter and hence the ability to control the price they pay for the electricity which is used for charging their car. Households that installed solar early are on feed-in tariffs which pay them for all or just the excess power that they produce. In the majority of cases these rates are much higher than the cheapest power available over night. Those that aren’t on solar power are mostly being paid feed in tariffs which are only marginally lower than the price they pay for power over night.
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Most users will be better off using their solar in their home or selling it then buying cheap power overnight to charge their car. There are certainly users for whom it would be cheaper to charge from the power generated through their solar system, but the cost and complexity of making it work is unlikely to stack up. Some form of power router is needed that can take into account usage by other appliances in your home, the tariffs, the amount of charge your car needs each day and the potentially intermittent supply of sun on any given day.
LEARN MORE: How to reduce your electricity usage at home in Australia?
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 launched the all-electric, steering wheel-less, and pedal-less Cybercab last night at a quiet and small event in downtown Austin, Texas.
The launch, which marked the beginning of unsupervised ride-hailing for Tesla’s Robotaxi platform with Cybercab, has already caught the attention of the National Highway Traffic Safety Administration (NHTSA) who has more questions.
NHTSA opened an Audit Query (AQ) into the Cybercab’s Federal Motor Vehicle Safety Standards (FMVSS) certification that Tesla gave the vehicle. Manufacturers self-certify vehicles much of the time to avoid excessive regulatory delays.
Tesla Cybercab interior, note the lack of steering wheel and pedals. (Credit: @niccruzpatane/X< /a>)
However, the agency needs more information; it said in a summary:
“On September 3, 2026, Tesla began commercial deployment with a small number of its Cybercab vehicles in Austin, Texas. Tesla notified the Agency that it certified those Cybercab vehicles as compliant with all applicable Federal Motor Vehicle Safety Standards (FMVSS). Tesla also notified the Agency that it plans to gradually expand commercial deployment of the Cybercab to include additional vehicles and locations.”
It also went on to state that the Cybercab lacks traditional automotive controls, which is a groundbreaking move. The process is entirely new to the NHTSA, which gives the agency some leverage to put Tesla’s launch under a microscope:
“The vehicles lack permanently attached, conventional manual controls, such as a brake pedal, gas pedal, steering wheel, and mirrors. NHTSA is opening this AQ to examine the process and technical data on which Tesla relied when certifying the Cybercab and related issues. Among other things, NHTSA will consider the extent to which Tesla’s certification depended on determinations that certain FMVSS are inapplicable to the Cybercab.”
Tesla has added 45 Cybercab units to its fleet of Robotaxi-enabled cars in Austin, according to public documents the company submitted to the State of Texas over the past week. Enabling this level of self-driving is something Tesla has worked toward for many years, and now that it is finally here, it seems more than reasonable that regulatory agencies will have some questions.
Many outlets might try to frame this as a negative, but it is truly an agency looking to gain more information about groundbreaking tech that Tesla has been developing for years.
In an effort to keep riders, pedestrians, and property safe, any and all data accumulated from these first days, weeks, and months of rides will likely be shared with the NHTSA to enable broader rollout strategies across the United States and more in the future.
Tesla Robotaxi will be a 24/7 service: here’s when
Tesla Full Self-Driving will now overtake manual driving to avoid disaster
