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Tesla Cybertruck production has arrived: Here’s how it compares to its 2019 prototype
The Tesla Cybertruck production specs are here, and they are quite a bit different from the figures that were announced for the vehicle back in late 2019. From the size of the Cybertruck’s bed to its dimensions and range, the changes that were implemented on the pickup truck over the years are quite notable.
Whether or not these changes are ultimately for the better would be up for consumers to decide, of course. But for reference, here is a quick comparison of how the production Tesla Cybertruck compares to its hulking original prototype from 2019 — the prototype which, in a lot of ways, caused the auto industry to take a second look at Tesla’s sanity.
Dimensions
The original Cybertruck prototype from 2019 was a hulking steel beast that was announced with a length of 231.7 inches, a width of 79.8 inches, and a height of 75 inches. The production Cybertruck, as per Tesla’s official page for the vehicle, now has an overall length of 223.7 inches, a width of 86.6 inches with the mirrors folded, and an overall height of 70.5 inches.
Payload
Being a pickup truck, it is pertinent for the Cybertruck to have a decent payload capacity. The original prototype from 2019 was listed with a payload capacity of 3,500 pounds. During the Cybertruck delivery event, Elon Musk noted that the vehicle now features a payload capacity of 2,500 pounds. Musk did not, however, clarify if the 2,500-pound payload capacity was standard for all the Cybertruck’s variants.
Range
Range is among the production Cybertruck’s most notable areas of complaints from the EV community. During its 2019 debut, Tesla announced that the Cybertruck will have a range of 250+ miles for the RWD version, 300+ miles for the Dual Motor AWD version, and 500+ miles for the Tri-Motor variant. The production Cybertruck listed in Tesla’s updated website with a range of 250 miles for the RWD variant, 340 miles for the Dual Motor version, and 320 miles for the top-tier “Cyberbeast.”
Tesla did list a range extender option for the Cybertruck Dual Motor and the Cyberbeast. With the range extender, the Dual Motor could have a range of 470+ miles, and the Cyberbeast will have a range of 440+ miles. Overall, Tesla definitely missed its target with the Cyberbeast’s range, but the company did hit its target for the Dual Motor and RWD variants.
Towing
Back in 2019, the original Cybertruck’s RWD variant was listed with a towing capacity of 7,500 pounds, the Dual Motor was listed with a towing capacity of 10,000 pounds, and the Tri-Motor was listed with a towing capacity of 14,000 pounds. The production Cybertruck is currently listed with a towing capacity of 7,500 for its RWD version, and 11,000 pounds for both the Dual Motor and Cyberbeast trims.
Price
Tesla shocked attendees of the Cybertruck’s 2019 unveiling event when it announced that the base RWD version of the all-electric pickup truck will start at $39,990. At the time, the Dual Motor was listed at $49,990, and the Tri-Motor variant was listed with a price of 69,990. The production Cybertruck, as per Tesla’s configurator today, costs $60,990 for its RWD version, $79,990 for its Dual Motor variant, and $99,990 for its top-tier Cyberbeast trim.
Performance
During its 2019 unveiling, the original Cybertruck prototype was announced with a 0-60 mph time of 6.5 seconds for its RWD version, 4.5 seconds for its Dual Motor variant, and 2.9 seconds for its Tri-Motor trim. Top speed was also listed at 110 mph for the Cybertruck RWD, 120 mph for the Cybertruck Dual Motor, and 130 mph for the Cybertruck Tri-Motor.
Today, the production Cybertruck is listed with a 0-60 mph time of 6.5 seconds for its RWD version, 4.1 seconds for the Dual Motor variant, and 2.6 seconds for the Cyberbeast. The top speed for the production Cybertruck Dual Motor is now listed at 112 mph, and the Cyberbeast is listed with a 130 mph top speed.
Storage
Back in 2019, the original Tesla Cybertruck was announced with 100 cubic feet of exterior storage. Its bed was also 6.5 feet in length. During the recently-held Cybertruck delivery event, Elon Musk noted that the all-electric pickup truck now features a bed that’s 6 feet long and 4 feet wide. Tesla’s official page for the Cybertruck also mentions that the vehicle features “67 cubic feet of lockable storage.”
Tesla has noted that the Cybertruck experienced changes as it headed towards production. The vehicle’s size has definitely been affected, and so has the pickup truck’s storage capacity. It would now be quite interesting to see how the Tesla Cybertruck fares in the market as it competes against popular combustion-powered trucks and electric pickups like the Rivian R1T and the Ford F-150 Lightning.
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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
