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Tesla Cybertruck vs Ford F-150: Cost of ownership battle ends with eye-opening results
The Tesla Cybertruck offers several benefits that make it an ideal alternative to conventional pickup trucks like the best-selling Ford F-150. But beyond its polarizing design and healthy set of features, one thing may really be the difference-maker for customers who are considering a Cybertruck purchase: its cost of ownership.
Pickups are very popular in the United States, holding about 17% of the US auto sales market last year. Yet, for all their popularity, trucks are also notoriously expensive to own, thanks to their large engines that guzzle fuel. Considering that the Tesla Cybertruck promises a lower cost of ownership compared to traditional trucks like the Ford F-150, it then becomes pertinent to run the numbers between the futuristic upstart and the tried-and-tested veteran.
This was the topic of a recent video from Tesla owner-enthusiast Ben Sullins of YouTube’s Teslanomics channel. In his video, Sullins compared the cost of ownership between the Tesla Cybertruck and the Ford F-150 over a five-year period. The results were notably eye-opening.
Sullins opted to utilize the Ford F-150 because it is the most popular pickup in the United States. He also selected the 2020 Ford F-150 Lariat SuperCrew as the truck of choice for his comparison, since the variant was the trim which received Edmunds‘ recommendation. This version was compared with the Tesla Cybertruck’s Dual Motor AWD variant, which CEO Elon Musk noted was receiving the majority of reservations from consumers. To make the comparison as fair as possible, Sullins opted for options in the F-150 that would make it as similar to the mid-level Cybertruck as possible, such as 4×4 and a six-seat configuration.
For the vehicle’s true cost of ownership over 5 years, the Teslanomics host referred to Edmunds‘ TCO metrics, which includes Depreciation, Taxes and Fees, Financing, Fuel, Insurance, Repairs, and Maintenance. Considering that the Cybertruck is not on the road yet, Sullins opted to estimate the all-electric pickup’s depreciation, taxes and fees, and financing on the F-150’s numbers. The same was true for the Cybertruck’s estimated insurance costs.
Things started to diverge when maintenance and fuel costs between the two vehicles were considered. The Tesla Cybertruck’s maintenance will likely be marginal compared to the F-150, which is equipped with an internal combustion engine. Fuel costs were also very different between the two vehicles. If one were to consider the average price of fuel in CA and TX and a yearly mileage of 15,000 miles, a Ford F-150 owner in CA could spend about $3,183 in fuel costs per year considering the state’s average fuel cost of $3.82 per gallon. An F-150 owner in TX, where gas prices average $2.24 per gallon, could spend about $1,866 per year in fuel costs.
In comparison, a Cybertruck owner in CA, where electricity costs a pretty steep $0.26 per kWh on average, will spend about $1,950 in charging costs for a year. A Cybertruck owner from TX, where electricity costs $0.09 per kWh, could spend as little as $675 per year. It’s pertinent to note that these costs do not account for off-peak hours, where electricity is cheaper.
Overall, Sullins estimated that the total cost of ownership for a Ford F-150 in CA would be around $72,459 over five years, while one in TX stands at about $65,467. Thanks to low charging and maintenance costs, the Cybertruck would likely have a TCO of $53,379 in CA and $46,610 in TX, respectively. That’s a difference of $19,080 and $18,858 over the course of five years. Of course, if a Tesla owner charges the Cybertruck through solar panels, then the TCO of the all-electric vehicle will be even lower.
Inasmuch as the Cybertruck is polarizing for its looks, it is difficult not to see the value of the vehicle when it comes to cost of ownership compared to traditional pickups. This is something that is key to potential Cybertruck customers such as companies that are managing fleets of vehicles. If something like the Cybertruck comes along and offers the same utility and better performance while offering lower operating costs, there is very little incentive to ignore the vehicle just because it doesn’t look like every other pickup in the market.
Watch Ben Sullins’ breakdown of the Tesla Cybertruck and the Ford F-150’s cost of ownership in the video below.
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.”
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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.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
