Three Tesla owners have sued the automaker in a class action lawsuit that was filed on August 2, 2023, after a report from Reuters last week claims the company “exaggerates” its range ratings.
Teslarati examined the complaint, and we are here to give you a breakdown of what the suit says and what the three plaintiffs are suing Tesla for.
The Plaintiffs
Tesla is being sued by James Porter, Bryan Perez, and Dro Esraeili Estepanian, who state in their complaint against the automaker that their action “arises out of Tesla’s false advertising of its electric vehicles’ range, which Tesla grossly overvalued when selling the vehicles to consumers.”
According to the complaint, Porter owns a Model Y Performance and noticed a discrepancy in his vehicle’s range was compared to what it told him:
“After taking delivery of his Tesla vehicle in June 2022, Plaintiff Porter fully charged his vehicle to 100% battery charge and took a 2-hour trip to visit family, approximately 92 miles away. When he arrived at his destination, Plaintiff Porter noticed that the vehicle was left with approximately 40% charge.”
Perez owns a Model 3 Long Range, and the complaint states he had the same issue:
“After receiving his Tesla vehicle, Plaintiff Perez fully charged his vehicle to 100% battery charge and took an approximately 90-mile trip to visit his parents. After returning home from the approximately 180-mile round trip, he noticed that his vehicle showed that it had roughly 10-15% charge remaining.”
Estepanian also has a Model 3 Long Range, and the complaint describes a similar situation:
“Plaintiff Estepanian travels 140 to 150 miles round trip for his daily commute, and he routinely charges his vehicle to 90% battery charge (which equates to approximately 299 miles), per Tesla’s recommendation. Based on a 90% battery charge (and 299-mile starting range), he typically returns from his approximately 150-mile round trip each day and his Tesla vehicle’s screen displays that approximately 100 to 110 miles of range remain, which equates to roughly 33% battery charge remaining. Thus, Plaintiff Estepanian’s electric vehicle consistently loses approximately 189 miles of range during his daily commute—despite only driving approximately 140 to 150 miles round trip each day.”
The Plaintiffs’ Claims
The plaintiffs state that range is a key feature of electric vehicles and is “one of the most important features that consumers generally consider when purchasing an EV, because it correlates to the distance they can travel before needing to recharge the vehicle.”
Throughout the suit, the complaint shows images of Tesla’s website, highlighting range ratings and other “key features,” including top speed and acceleration.
They also include other pieces of evidence that seem to indicate Tesla has exaggerated range estimates.
One part of the complaint states:
“Tesla’s tactics to inflate the range estimates for its vehicles has continued. Recently, South Korean regulators fined Tesla for false advertising the ranges of its vehicles. Specifically, the Korea Fair Trade Commission found that Tesla exaggerated the “driving ranges of its cars on a single charge, their fuel cost-effectiveness compared to gasoline vehicles as well as the performance of its Superchargers.”
They also stated that other car companies to do not exaggerate range ratings, citing Recurrent’s testing of the Ford Mustang Mach-E, Chevrolet Bolt, and Hyundai Kona:
“Other electric vehicle manufacturers do not overestimate the range of their vehicles to the same extent. For example, Recurrent tested the Ford Mustang Mach-E, the Chevrolet Bolt, and the Hyundai Kona—all electric vehicles and direct competitors to Tesla model vehicles—and found their estimated ranges to be more accurate. In fact, the Hyundai Kona generally underestimated the range the vehicle could travel before requiring a recharge.”
Allegations in the Class Action Suit
The plaintiffs seek to represent anyone in California who purchased any Tesla vehicle and hope to solve questions including:
- a. Whether Tesla model vehicles fail to deliver the advertised estimated vehicle range in normal driving conditions;
- b. Whether Tesla exaggerated its advertised estimated vehicle ranges;
- c. Whether Tesla knew that its advertised estimated vehicle ranges were exaggerated and could not be met under normal driving conditions;
- d. When Tesla gained such knowledge;
- e. Whether Tesla designed, manufacture, marketed, advertised, sold, or otherwise placed its model vehicles into the stream of commerce with such knowledge;
- f. Whether Tesla intentionally concealed the fact that its advertised estimated vehicle ranges were exaggerated or otherwise could not be met under normal driving conditions;
- g. Whether Tesla’s conduct to divert complaints from Class Members who voiced concerns over their Tesla model vehicle’s range violated the terms of Tesla’s warranties;
- h. Whether Plaintiffs and Class Members were harmed by the fraud and deceptive practices alleged herein;
- i. Whether Tesla was unjustly enriched by its deceptive practices; and
- j. Whether Plaintiffs and the Class are entitled to equitable or injunctive relief
The case is 3:2023cv03878, Porter et al v. Tesla, Inc., and has been assigned to Judge Laurel Beeler.
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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
