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Tesla released the Cybertruck RWD to make the AWD look like a deal
Cybertruck LR RWD is effectively a $69,990 pickup that does not have 120V and 240V power outlets on its bed or 120V outlets in the cabin.
Tesla released the Cybertruck Long Range Rear Wheel Drive (LR RWD) recently, and it quickly received mixed reactions from the electric vehicle community. While the truck was praised for its long range, many argued that it was far too expensive due to the long list of features that it is missing compared to the Cybertruck All Wheel Drive (AWD), the mid-range variant of the all-electric pickup truck.
A look at the Cybertruck LR RWD’s pricing and features suggests that Tesla designed and priced the vehicle to push more buyers to opt for the Cybertruck AWD instead.
So Much Missing
The Cybertruck LR RWD costs $10,000 less than the Cybertruck AWD, but it is substantially less equipped compared to its mid-range counterpart. While the Cybertruck LR RWD’s slower 0-60 mph time, lower towing and payload capacity, textile seats, and fewer speakers are understandable, missing features such as the lack of air suspension, HEPA filter, and active noise cancellation make the vehicle truly a stripped down version of the all-electric pickup truck.
Considering that it is the most affordable Cybertruck available today, it would be fair to expect the vehicle to be geared for consumers who truly use their trucks for work. However, the Cybertruck LR RWD seems like a pretty expensive and under-equipped work truck, as it is effectively a $69,990 pickup that does not have 120V and 240V power outlets on its bed or 120V outlets in the cabin. It doesn’t even have otherwise basic Cybertruck features like the rear light bar, which is part of the pickup truck’s iconic, futuristic look.
Must Be Cheaper
The long list of missing features from the Cybertruck Long Range RWD has incited a lot of conversations among electric vehicle enthusiasts on social media, with some EV fans stating that the cost of the features that Tesla removed in the LR RWD seem to be worth far beyond $10,000. Others noted that with its (very) stripped-down nature, the Cybertruck Long Range Rear Wheel Drive should have been priced around $55,000, or at least closer to Elon Musk’s previous comments about electric pickup truck prices in the past.
Back in 2019, Elon Musk noted during an interview on the Ride the Lightning podcast that he believes consumers should be able to purchase a decent electric pickup truck for less than $50,000. “You should be able to buy a really great truck for $49k or less,” Musk stated then.
The Cybertruck was ultimately unveiled in November 2019 with a starting price of $39,990. If one were to adjust for inflation, Elon Musk’s sub-$50,000 Cybertruck price estimate would be worth $62,811 today, which is roughly the price of the Cybertruck LR RWD with the federal tax credit. For context, the Cybertruck’s $39,990 base price during its November 2019 unveiling is worth $50,249 today if adjusted for inflation.
A Boost to Cybertruck AWD
One would not be faulted to speculate that Tesla released the Cybertruck Long Range Rear Wheel Drive as a way to encourage customers to purchase the more expensive Cybertruck All Wheel Drive. For just $10,000 more, after all, customers would be getting a substantially better-equipped vehicle with better performance and far more utility.
It remains to be seen how well the Cybertruck LR RWD would sell, though considering its stripped-down nature, there seems to be a chance that the variant would follow the same path as the $35,000 base Model 3 Standard Range RWD, which was briefly sold but eventually retired due to low orders. What the $35,000 Model 3 did, however, was push a lot of sales of the Model 3 Standard Range Plus, which ultimately became one of Tesla’s volume sellers and is still in production today simply as the Model 3 RWD.
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
