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Tesla’s fuel savings estimate for its vehicles are actually nerfed for most US states

(Photo: Andres GE)

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Tesla’s online configurator for its electric cars primarily shows a price that’s adjusted for incentives and estimated fuel savings. These savings vary depending on the vehicle being ordered, with the company listing estimated gas savings of $4,300 for the Model 3 and Model Y, $5,300 for the Model X, and $5,500 for the Model S. These may seem like optimistic estimates, but as it turns out, these figures are actually conservative, at least for the majority of the United States.

Tesla’s fuel savings estimate is based on the premise that charging an all-electric vehicle is a lot more affordable than filling up the tank of a petrol-powered car. Looking at the company’s estimates, it appears that the listed fuel savings for the Model S, 3, X, and Y are based on the assumption that drivers would drive their Tesla for 10,000 miles annually for a period of six years. The costs of charging a Tesla over this period is then compared to the estimated costs of refueling a comparable vehicle, such as a BMW, with premium gasoline.

This strategy actually makes sense, considering that the all-electric construction of a Tesla will likely allow the vehicle to be used for at least six years. The comparison with BMW’s vehicles is quite sound as well, seeing as both companies offer premium cars that perform and compete in the same segment. That being said, EV charging rate monitoring service Optiwatt noted in a recent report that Tesla’s estimated gas savings are a lot more nuanced than what the company’s online configurator would suggest.

(Credit: Optiwatt)

If there is one area where Tesla could be faulted, it is in the way that its estimated fuel savings for the US are the same regardless of the state where the car is being purchased. Different states have different electricity and average fuel prices, which means that there are some places where Tesla drivers could save more than the company’s own estimates, and areas where the opposite will be accurate. Take Hawaii, for example. The state pays 32 cents per kWh of electricity, which is over three times higher than the 9 cents per kWh that are paid by residents in Oklahoma.

Fuel consumption varies across states as well, with drivers in rural areas consuming more petrol and drivers in high-density states like New York consuming less. Wyoming drivers buy the most gas per capita at 609 gallons per person per year, while New York purchases less than half at 292 gallons per person per year. Considering that Tesla’s fuel savings rely on the price discrepancy between electricity and gas, owners who drive more are more likely to meet the company’s fuel savings estimates compared to owners who drive less.

The Tesla Model Y’s estimated gas savings across the United States. (Credit: Optiwatt)

Optiwatt’s analysis notes that ultimately, there are some areas in the United States where owning a Tesla will save drivers far more than what the company’s estimates would suggest, and there are some areas where fuel savings will be underwhelming. Driving a Model Y in Rhode Island for 10,000 miles every year for six years will save owners about $4,235 in fuel costs, which is a bit less than the company’s $4,300 estimate. Driving the all-electric crossover in Wyoming for six years, on the other hand, will give owners fuel savings of $11,122, over two times the company’s estimates.

A look at Optiwatt’s data shows that Tesla’s newer vehicles like the Model 3 and Model Y are more likely to meet the company’s fuel savings estimates, despite the Model S and Model X’s free Supercharging capabilities. Yet on average, across Tesla’s vehicle lineup, it appears that Americans can expect to save about $2,500 more than the company’s estimated savings over a six-year period. This bodes well for electric cars and their economic appeal as a whole. After all, a Tesla is not just designed to run for 6 years. With the company’s million-mile batteries poised to be released soon, Tesla drivers over the years will likely see even more fuel savings for every electric car purchase.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla crosses major Unsupervised Self-Driving milestone

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Credit: Tesla

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.

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Tesla Robotaxi will be a 24/7 service: here’s when

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Credit: @AdanGuajardo/X

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.

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.

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Tesla Full Self-Driving will now overtake manual driving to avoid disaster

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Credit: Tesla

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.

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.

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