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Stellantis RAM 1500 Revolution vs Tesla Cybertruck, Rivian R1T & the Ford F-150 Lightning
Stellantis’ Ram Truck brand revealed its RAM 1500 Revolution battery electric vehicle concept during CES 2023 in Las Vegas. The all-electric RAM pickup has already generated some buzz in the market for its exciting features and next-gen design. With the growing electrified pickup truck market, RAM has developed a strong contender with the 1500 Revolution BEV.
RAM 1500 Revolution BEV Details
The RAM 1500 Revolution BEV will be built on Stellantis’ STLA Frame EV platform, designed to deliver a range of up to 500 miles (800 km). Unlike other STLA platforms—which are unibody—the STLA Frame platform is a body-on-frame. In the past, Stellantis planned to use 2 battery cell chemistries to ensure affordability in its electric vehicles. The company will have to carefully consider the RAM 1500 Revolution’s starting price if it wants the pickup to qualify for tax incentives under the Inflation Reduction Act.
The electrified RAM 1500 Revolution concept includes some nifty tech innovations, including digital side-view mirrors. The rearview mirror alone is packed with tech, like a smart backup camera with 360-degree views, plus speakers and receivers compatible with voice assistants like Alexa and Siri. The review mirror is connected to biometric cameras, which observe the RAM 1500 Revolution’s surrounding environment.
With its EV pickup concept, RAM plans to take advantage of the most useful tech innovations on the market. For instance, the biometric cameras appear connected to the EV pickup truck’s biometric identity recognition and two-factor authentication. The RAM 1500 BEV also utilizes augmented reality (AR) for a see-through heads-up display (HUD). Other features RAM plans for the 1500 Revolution BEV are Shadow Mode and an exterior projector.
RAM vs. Tesla Cybertruck, Rivian R1T & the Ford F-150 Lightning
RAM aims to redefine the pickup truck segment, demonstrating its position in the EV pickup truck market along the way. It is one of North America’s top pickup truck brands, alongside Ford and Chevrolet. The Ram pickup, Ford F-Series pickup, and Chevy Silverado have long held the top three positions in the pickup truck market in the United States. Still, the advent of electric vehicles has opened up the pickup segment to other legacy competitors and EV startups.
Tesla Cybertruck
Tesla unveiled its Cybertruck concept in 2019 and has yet to deliver the futuristic pickup truck. However, Giga Texas has started preparing for Cybertruck production in 2023. Tesla plans to deliver its first batch of Cybertruck units to customers this year.
When the electric truck concept was first revealed, it generated a lot of buzz for its unique design and technology. But other EV trucks have started selling on the market since 2019, so Tesla has improved the Cybertruck’s design and introduced up-to-date technology to the pickup truck. Due to the Cybertruck’s design changes, its prices might also change.
“I worry more about like how do we the Cybertruck affordable despite having awesome technology. That’s the thing that will really set the rate,” Elon Musk said back in the Q4 2021 earnings call.
Rivian R1T
The Rivian R1T has generated some buzz of its own since hitting the market. Rivian’s electric pickup truck appeals to a niche customer base who live for adventure and fun. Rivian literally threw everything into the R1T that an explorer would need—including the kitchen sink.
In preparation for 2023, Rivian has tweaked its R1T configuration options. For instance, the Rivian R1T Quad-Motor with Max battery pack is unavailable this year. However, the company strives to improve its vehicle. Last month, Rivian announced that the 2023 R1T with 21-inch wheels received the highest EPA range estimate for an electric truck in the market.
Ford F-150 Lightning
If Rivian was made for fun and adventure, Ford designed the F-150 Lightning for heavy-duty work. Ford’s all-electric pickup won Motor Trend’s 2023 Pickup Truck of the Year. It was the first electric pickup to win the award with a unanimous vote from the judges.
Ford is steadily ramping up F-150 Lightning production at its Dearborn Truck Plant and Rouge Electric Vehicle Center in Michigan. The legacy automaker initially targeted an annual manufacturing capacity of 40,000 units for the F-150 Lightning. However, demand for the electric pickup seems to be strong since Ford doubled its manufacturing capacity for the Lightning to 80,000 vehicles annually by 2024.
With the RAM 1500 Revolution, Rivian R1T, Ford F-150 Lightning, and Tesla Cybertruck, the electric pickup truck market is starting to take shape. More competitors are likely to come in the future—like Volkswagen’s Scout pickup—making the EV pickup truck market something to watch in the coming years.
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Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
