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Rivian announces R1T pickup truck: $69k starting price, 400+ mile range, and 11k-lb towing capacity
US-based EV startup Rivian has come out of the shadows to announce the specs of its first vehicle — the R1T all-electric pickup truck. The R1T, which seats five passengers, is designed from the ground up to be as comfortable off the beaten path as it is on paved roads. Armed to the teeth with clever features and cutting-edge technology, Rivian’s first entry into the electric vehicle market has the potential to be a game-changer.
Rivian spent the better part of the past decade developing its first vehicles — the R1T pickup truck and the R1S SUV, which is set to be unveiled tomorrow at the LA Auto Show. Only the specs of the R1T have been unveiled so far, though in terms of performance, range, and features, the pickup truck is notably impressive. The R1T, for one, is equipped with four electric motors, each one having a power capacity of 147 kW, as well as 3,500 Nm of grounded torque per wheel.
Three battery pack variants will be offered for the vehicle — a 180 kWh battery that is expected to give 400+ miles of range per charge, a 135 kWh option that gives 300+ miles of range per charge, and a 105 kWh variant, which will give about 230+ miles of range per charge. Rivian plans to start manufacturing the R1T’s higher-end options first, followed by the entry-level version, which starts at $69,000 within 12 months from the start of production. Production for the R1T is expected to begin in 2020.
The Rivian R1T all-electric pickup truck. [Credit: Rivian]
Being a vehicle designed for the outdoors, the Rivian R1T has the capability to wade through up to 1 meter of water. The pickup, while comparable in size to trucks like the Ford Ranger and the Toyota Tacoma, also outguns its competition in terms of towing capacity. Thanks to its four electric motors, the R1T has a towing capacity of 11,000 pounds, a figure that is more comparable to America’s best-selling vehicle, the larger Ford F-150.
There’s also a lot of storage in the R1T, with a frunk that offers 11.7 cubic feet (330 liters) and a “gear tunnel” — a storage area that spans the width of the vehicle, — that provides an additional 12.4 cubic feet (350 liters) of space. Rivian notes that the gear tunnel would be perfect for storing items like skis, fishing rods, and golf bags. The all-electric pickup’s bed is also fitted with three 110-volt outlets with more than 400 watts available at each, as well as a compressed air source for filling in bike tires.
While the Rivian R1T is evidently designed to be a vehicle that is at home in rough terrain, the pickup truck still features some of the trademark features of premium electric vehicles. Just like Tesla’s electric cars, the R1T features impressive acceleration, with the entry-level truck hitting 60 mph in 4.9 seconds and the 180 kWh top-tier variant going from 0-60 in 3.2 seconds. Interestingly, the mid-level 135 kWh variant of the R1T is the quickest, with a 0-60 mph time of 3 seconds flat. All three versions of the vehicle have a top speed of 125 mph, similar to the Mid Range Model 3 RWD.
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- (Photo: Rivian)
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- The Rivian RT1’s spec sheet. [Credit: Rivian]
The Rivian R1T all-electric pickup truck. [Credit: Rivian]
The R1T’s futuristic approach to adventure could be seen in the design flourishes on its interior. The vehicle is equipped with a 15.6″ landscape-oriented center touchscreen, as well as a 12.3-inch display that takes the place of an instrument cluster. A 6.8-inch touchscreen is placed at the back of the center console, giving rear passengers infotainment and climate control access. The R1T’s steering wheel also features two thumb dials, just like the Model 3. Finally, the R1T is fitted with hardware that allows it to be fully self-driving in the future, thanks to a suite of cameras, lidar, radar, ultrasonic, and high-precision GPS technologies.
In a statement to The Verge, Rivian CEO and founder RJ Scaringe stated that the company is laser-focused on the adventure niche. The founder further explained that Rivian stayed largely in the shadows over the past years to ensure that its first vehicles are refined and competitive once they enter the market.
“They may have different form factors, they may be different sizes, but every single one of [our products] has to have this Patagonia-like feel of enabling adventure. We want to keep that very sharp. We want to focus only on the adventure space, so customers understand what we stand for.”
“We were quiet in stealth mode to avoid getting caught in this sort of hype cycle, and we said let’s make sure we have all the pieces lined up — the vehicle, the technology, the team, the supply chain, the manufacturing plant — before we actually talk about it. Because of that, some people have been questioning [us]. People need to see that this is very, very real,” Scaringe said.
Interested buyers could place a refundable deposit of $1,000 for the Rivian R1T here.
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
