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What Tesla Cybertruck pricing could look like based on inflation
Tesla Cybertruck deliveries are set to begin in roughly one month on November 30 at Gigafactory Texas. Although Tesla confirmed this significant detail last week during its Quarterly Earnings Call, the automaker left out a few important details, including available trim levels and pricing.
While NHTSA documents confirmed trim levels just a few days after Earnings last week, pricing still remains up in the air, and there could be several reasons for this.
One could be the uncertainty of market conditions, as Tesla has routinely changed prices in 2023, and announcing a specific cost of each trim now could change by the time deliveries roll around. Another reason is that Tesla could simply be undecided or not ready to announce a price.
This vehicle is so anticipated that it could likely make early reservation holders pay a premium. With uncertainty looming in macroeconomic conditions, the company could try and make the most of the early deliveries.
While the Semi was produced and delivered to its first buyers without a price, we don’t expect Tesla to do the same with the Cybertruck. The Semi is an entirely different vehicle class and not something that will be driven on roads by the everyday person.
Even though pricing has remained relatively out of the public realm since Tesla delivered the first Semi units to PepsiCo. last year, there is no way the company would or could do this with the Cybertruck, a vehicle that has amassed over 1 million orders, CEO Elon Musk said on the Call last week.
Nevertheless, there is data out there that could point us in the right direction, giving us a rough estimate of what the Cybertruck could cost based on the price of full-size pickups in 2019 when the vehicle and pricing for the trims available at that time were announced.
Using data from Kelley Blue Book, the cost of the Cybertruck would have theoretically increased by 30.7 percent. In November 2019, a full-size pickup’s average price was $51,140, not including applied consumer incentives. Over the next four years, leading up to 2023, the cost of pickups has increased every year, except for this year, as the average cost of a new truck decreased by about $1,500 from 2022.
The most recent KBB data available is for September 2023, when Full-Size Pickups landed at an average transaction price of $66,841.
When Tesla announced the Cybertruck in 2019, there were three trims: Single, Dual, and Tri-Motor. They were priced at $39,990, $49,990, and $69,990, respectively. With only the Dual and Tri-Motor configurations still standing, we can calculate what the Cybertruck would cost today in a perfect world.
With the 30.7 percent increase in new, full-size pickup prices since 2019, the Cybertruck would, in a perfect world, cost:
- Dual Motor – from $49,990 in 2019 to – $65,336.93, an increase of $15,346.93.
- Tri Motor – from $69,990 in 2019 to – $91,476.93, an increase of $21,486.93.
Of course, this is in no way a confirmation of Tesla’s pricing, as it could have many other things factored into the cost, especially as the vehicle has changed in sizing and design over the past four years.
The price of the Cybertruck has been highly speculated since Tesla removed pricing from the Online Design Studio a few years ago, as it was still mulling over potential configurations.
It has not stopped people from posting things on social media stating they have been contacted by Tesla and given a price for their Cybertruck reservations, either.
Hmm… is the Tri-Motor Performance Cybertruck pricing set? $98,990 before FSD and the usual taxes & delivery fees… wow that’s a lot of coin. pic.twitter.com/uQyvH0NxR9
— ?TACOS +⚡️TESLAS (@TacosandTeslas) October 24, 2023
Tesla will likely start contacting reservation holders soon to set up their delivery, as the first units will be handed over at a delivery event at Gigafactory Texas.
How much do you think the Cybertruck will cost? Let me know your estimates! Email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.
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.
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
