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Tesla Semi production specs: powertrain, battery, Megacharger output, and more
The Tesla Semi has already been delivered to its first customers, but the actual production specs of the vehicle remain largely unknown or unconfirmed at best. Fortunately, a recent trip to PepsiCo’s Frito Lay facility in Modesto, Caifornia has provided some details that otherwise reveal the Tesla Semi production specs.
When Tesla held the first deliveries of the Semi, CEO Elon Musk highlighted that sustainable long-haulers are needed because in the transportation sector, semi trucks comprise about just 1% of vehicles on the road but they account for 20% of the emissions. Vehicles like the Tesla Semi are then designed to challenge this status quo.
Automotive publication MotorTrend was able to visit PepsiCo’s Modesto Frito Lay facility to check out the company’s first Tesla Semi units. As noted by the publication, the Modesto facility is a perfect fit for the Semi as the site already uses other green vehicles like BYD 8Y yard tractors, Peterbilt 220EV electric box trucks, and natural-gas-powered Volvo VNL trucks. The Tesla Semi fleet is used for out-and-back trips across the region.
The publication was able to gather some details about the Class 8 all-electric truck from its drivers and Tesla representatives who were at the location during the visit. Following are some key specs of the Tesla Semi.
Powertrain
The Tesla Semi features a modified Plaid tri-motor powertrain that’s spun backward. The Model S’ front motor drives the Semi’s rear axle and acts as the vehicle’s high-efficiency “highway drive unit.” The Model S Plaid’s dual rear motors, on the other hand, are installed on the rear axle. With this in mind, MotorTrend estimated that the Tesla Semi likely matches the Model S and Model X Plaid’s 1,020 horsepower and 1,050 pounds-feet of torque.
This estimate makes sense considering that a Tesla representative reportedly noted that the Tesla Semi makes “three times the power of an average diesel semi.” The US’ best-selling semi is the Freightliner Cascadia, whose base model features 350 horsepower. Three times the base Cascadia’s horsepower certainly aligns with the estimate that the Semi has about 1,020 horsepower. On a side note, the Tesla Semi production version does not have a frunk, unlike the vehicle’s prototype units.
Battery
Drivers of the Tesla Semi reportedly noted that the all-electric Class 8 truck is fitted with a 1,000 kWh battery pack. Tesla lists the Semi’s range as 500 miles per charge, and Elon Musk has also highlighted that the vehicle would consume only 2 kW per mile traveled.
If these estimates prove accurate, then the Semi’s 300-mile variant would likely have a battery pack that’s around 600 kWh. That’s still a lot of batteries, so Tesla would have to ensure that its production is optimized to ensure that the Semi is profitable.
Megacharger Output
The Tesla Semi features a charging port that’s different from all the vehicles that the company has released so far. The motoring publication noted that the Tesla Semi’s Megachargers installed on the Modesto facility could provide around 750 kW of power, or about three times the output of the company’s Supercharger V3 network.
The cables for the Tesla Semi’s Megachargers are thick, though they are reportedly easy to manage compared to some DC fast charging networks in the market. Charging the Semi from almost empty to 70% typically takes about 30 minutes. A full charge all the way to 100% reportedly takes around 90 minutes.
Physical Controls
While the Tesla Semi’s controls are mostly centered on its two infotainment systems, the vehicle also sports several physical buttons. Among these are the parking brake, trailer-brake air supply, and the vehicle’s hazards. Other physical controls include stalks similar to those found in the Tesla Model 3 and Model Y, though some buttons on the steering wheel resemble those in the new Model S and Model X.
Interior Space
The cabin of the Tesla Semi is cavernous, similar to the company’s other vehicles. MotorTrend noted that there’s enough space to enable a six-foot person to walk around and stretch in the Tesla Semi’s 3×7 foot cabin. So far, PepsiCo’s drivers seem to like the Semi, with some telling the motoring publication that the all-electric truck was very comfortable and “drove like a car.”
Other Details
The use of the Tesla Semi’s dual infotainment systems is quite interesting. The right display functions as the Tesla Semi’s main infotainment unit, while the left display exclusively shows pertinent information about the truck, such as its tire pressure. The windows in the Semi’s cabin also open when needed, though they do not roll down. Some space in the cabin also seem to be reserved for customers who wish to order the Tesla Semi with a sleeper cabin. Images taken of the Semi’s displays also confirm that the vehicle is equipped with Tesla’s Full Self-Driving computer.
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Turn-by-turn navigation is not new technology.
For over two decades, drivers have relied on Garmin, TomTom, and later smartphone apps like Google Maps and Waze to receive precise, reliable directions. These systems have guided millions safely through unfamiliar cities, highways, and backroads with remarkable effectiveness. They handle real-time traffic, construction detours, and complex intersections with minimal fuss.
Yet Tesla, the company that promised revolutionary Full Self-Driving (FSD), continues to struggle with this foundational capability. As FSD (Supervised) v14.3.4 has started rolling out to cars this week, navigation remains its glaring Achilles’ heel, undermining the entire autonomous vision.
Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much
Tesla’s FSD excels in many driving behaviors—smooth acceleration, confident lane changes in ideal conditions, and responsive handling of visible obstacles. However, when it comes to following a route accurately, the system falters repeatedly.
Owners report wrong turns, missed exits, inefficient routing through local roads instead of highways, phantom speed limit errors, and even directing vehicles to building rear entrances. Interventions for navigation issues often outnumber those for core driving maneuvers. Tesla has begun surveying owners specifically about these errors, acknowledging the problem after years of complaints.
Navigation is perhaps my biggest complaint when it comes to FSD, because sometimes, we do know better. Some of us have been living in our areas for our entire lives, but even those who have not have years or even decades of experience driving on local roads. We might know a little better about routing.
But the navigation mistakes are more than just FSD potentially taking a slightly different route that may or may not save you a few minutes. Sometimes, they’re genuinely mind-boggling.
This isn’t just annoying; it cascades into broader failures. A flawed route plan confuses the AI’s decision-making, leading to hesitant behavior, unnecessary disengagements, or dangerous maneuvers like attempting impossible U-turns or ignoring clear ramps. In a system meant to operate with minimal supervision, unreliable navigation erodes trust.
More often than not, false or plain incorrect navigation is what causes me to interrupt FSD operation. Unfortunately, I believe the latest FSD version is the worst example of it, and it leads me to believe that Tesla might be making some changes; they’ve just made them in the wrong direction.
It makes you wonder: Why is a company that has done so much with the progress of FSD and autonomy struggling so much with navigation, something that is not new and has been around a long time?
Multiple Data Sources
First, Tesla’s navigation relies on a fragile patchwork of multiple data sources—Google Maps, TomTom, OpenStreetMap, Valhalla, and its own fleet-derived data—stitched together rather than a single authoritative map. When these conflict on lane geometry, road status, or turn details, the system hesitates or chooses incorrectly.
Traditional GPS providers maintain centralized, regularly validated databases with professional curation and rapid updates. Tesla’s hybrid approach, while innovative in crowdsourcing, introduces inconsistencies that a purely vision-based or end-to-end AI approach may not easily reconcile in real time.
Persistent Learning
FSD seems to struggle with persistent learning from driver interventions.
Unlike consumer apps that quickly adapt to repeated corrections or user preferences (e.g., avoiding certain routes or remembering habitual detours), Tesla’s FSD often fails to internalize fixes on the same trip or across similar scenarios. Owners note making the same manual override multiple times without the routing engine updating its behavior meaningfully.
This stems from the neural architecture prioritizing real-time perception and control over long-term route memory and personalization, making navigation feel rigid and “opinionated” compared to the adaptive logic in Waze or Google Maps.
I noticed that when I asked Grok to try and get me home a certain way (a way that FSD routinely took in the past because it was the most efficient), it had to place a waypoint between my location at the time and my house. When I went to edit the waypoint out, as Grok had placed it for a way to get FSD to get off the highway at the right exit, it was stumped again, rerouted, and took a longer way home.
The next thing I’ve noticed, and this might be controversial, is that Nav has gotten even worse.
I think that might actually be a good thing; Tesla seems to be adjusting it. They just need to adjust it the opposite way.
The car is taking extremely strange routes to very… https://t.co/UHg3tVfNA2
— TESLARATI (@Teslarati) June 16, 2026
Reasoning, Scaling, and Intuition
Third, scaling navigation for unsupervised or robotaxi ambitions requires not just accuracy but adaptability and user-like reasoning. Current FSD often defaults to single routes that ignore driver preferences or real-world nuances like time-of-day traffic patterns. It fails to match the intuitive, context-aware planning that traditional systems have refined over the years.
Resolving navigation is critical for several reasons. Practically, it is the backbone of any autonomous journey: without trustworthy routing, the car cannot reliably reach destinations, rendering FSD useless for robotaxis or hands-free commutes. Safety depends on it—mismatched plans create hesitation in merges or intersections, increasing accident risk.
Economically, Tesla’s valuation and future hinge on FSD delivering unsupervised driving; persistent navigation flaws delay regulatory approval and erode consumer confidence. For owners who paid premiums for FSD, these issues represent unfulfilled promises. While it is unlikely Tesla will lose too many customers due to bad navigation, some will be frustrated with the constant need for human input.
Tesla has achieved miracles in electric vehicles and battery tech. Mastering turn-by-turn—technology Garmin nailed in the early 2000s—should not be this hard. By investing in tighter data integration, faster learning loops from interventions, and more intuitive routing algorithms, Tesla could close this gap.
Until then, FSD’s navigation struggles highlight a humbling truth: even the most ambitious innovator must sometimes master the basics before conquering the future.
A Tesla Cybertruck driver in the United Kingdom had their all-electric pickup seized by local police in the Greater Manchester area after the department cited “legitimate concerns.”
Last Thursday, police saw the pickup on the roads and decided to pull the driver over. Greater Manchester Police said:
“Whilst this may seem trivial to some, legitimate concerns exist around the safety of other road users or pedestrians if they were involved in a collision with the Cybertruck.”
🚨 A Tesla Cybertruck, which is illegal to drive in the UK due to safety concerns, has been seized by police in Greater Manchester
“Whilst this may seem trivial to some, legitimate concerns exist around the safety of other road users or pedestrians if they were involved in a… pic.twitter.com/cqhdPok3DM
— TESLARATI (@Teslarati) June 16, 2026
The Cybertruck in question was, according to the BBC, registered and insured abroad and was confiscated. The driver, who is a UK resident, was reported.
The Greater Manchester Police Department then added:
“The Tesla Cybertruck is not road-legal in the UK and does not hold a certificate of conformity.”
The Cybertruck cannot be legally driven in the UK because it has no UK Type Approval for operation in the country. This is due to some safety concerns, which are related to its angular shape and design. The stainless steel exoskeleton has sharp edges and projections that violate UK/EU rules on pedestrian protection.
Tesla has considered creating what it referred to as an “international version” that would be approved for operation in Europe. However, there has been no real movement on that front by the company, as it has been focused on the Robotaxi rollout primarily.
A new report claims that Apple is in the process of developing what would be the missing link for Tesla to get CarPlay.
Apple and Tesla have been reportedly working together for some time to give Tesla owners the opportunity to utilize CarPlay within their vehicles. While many owners are more than happy with Tesla’s in-house UI, which is seamless, effective, and smooth, some still want CarPlay, which does have its advantages.
A report from 9to5Mac now states that a new CarPlay technology that was highlighted during the Worldwide Developers Conference (WWDC) would potentially be the bridge between Tesla and Apple. With the addition of a feature known as “Route Sharing,” which gives a navigation app the ability to share routing data with the vehicle, Tesla would be able to launch CarPlay in its vehicles, the report states.
CarPlay has not been a priority for Tesla because it has done extremely well with its in-house UI, but some drivers are just used to it. Additionally, it could improve Tesla’s subpar Navigation or offer improved app capabilities, especially with iMessage.
Route Sharing is an intended addition to CarPlay’s iteration in iOS 26.4, which was released in March:
The addition of CarPlay would undoubtedly be welcome, but at the same time, it seems like Tesla realizes it is not of the utmost priority. There are so many things that Tesla is working on currently within its own vehicles, especially attempting to solve self-driving.
Back in February, Bloomberg had reported that Tesla was still working on bringing CarPlay to its vehicles, but it had not due to app compatibility issues and incredibly low adoption rates of iOS 26.
This bottleneck could buy Tesla the proper amount of time to develop CarPlay for its vehicles. It would be a welcome addition, and could be brought on with either the Summer or Fall 2026 Software Updates.
Tesla’s Navigation Nightmare: Why the easiest part of FSD might be the hardest
Tesla Cybertruck driver gets pickup seized for ‘legitimate concerns’ in UK
