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GMC Hummer EV vs Tesla Cybertruck vs Rivian R1T: price and specs comparison
Legacy automaker General Motors recently unveiled the Hummer EV, a monster of a vehicle that will be pitted against other all-electric trucks like the Tesla Cybertruck and the Rivian R1T. The Hummer EV isn’t just another rival in the sustainable pickup truck market. The rivalry between the GMC Hummer EV, the Tesla Cybertruck, and the Rivian R1T also represents the battle between legacy automakers and new kinds of auto manufacturers.
Price
GM seems to have gone a different route when deciding the Hummer EV’s price. GM plans to release four variants of the all-electric “supertruck:” the EV2, EV2X, EV3X, and the limited Hummer EV Edition 1. The base model’s starting price is $79,995 with a reservation fee of $100.
Each subsequent model’s price is raised by about $10,000, except the limited edition Hummer Edition 1. For example, the Hummer EV2X costs $89,995 and the EV3X costs $99,995. The Hummer EV Edition 1, on the other hand, starts at $112,595.
Tesla and Rivian’s EV pickup trucks are priced significantly less than the GM Hummer EV. The Rivian R1T starts at $69,000, though speculations suggest that the production truck will be more affordable. But even at its original price, the R1T is $10,000 less than GM’s cheapest all-electric pickup truck. Rivian’s R1T has a reservation fee of $1000.
When it comes to pricing, however, Tesla’s Cybertruck takes the cake with a starting price of $39,990 for its single motor RWD variant. Tesla set a reservation fee of $100 for the Cybertruck. Tesla seemed to go the opposite direction as the other two automakers and set the price for its top-tier Cybertruck at $69,900. This makes the top-tier Cybertruck Tri-Motor AWD more affordable than the GMC Hummer EV’s base variant.
Price may not be the main factor that sways potential customers from one EV pickup to another. GMC, Tesla, and Rivian have packed their EV trucks with the best specs and features possible. In the end, these specs and features may be the deciding factor for buyers.
- The Rivian R1T promises to bring electrification to the luxury adventure industry. (Credit: Rivian)
- Tesla Cybertruck futuristic aero wheel makes debut in Los Angeles unveiling event on Nov. 21, 2019 (Photo: Teslarati)
- (Credit: GMC)
Range and Performance
When it comes to range and performance in the EV market, Tesla sets the bar high. Tesla’s in-depth knowledge in battery technology has given it a serious edge against the competition, most notably legacy automakers like GM.
For the purposes of this comparison, Teslarati will be looking at top-tier variant of each EV pickup truck. In GM’s case, the Hummer EV Edition 1 has a tri-motor setup with an estimated 350+ miles of range. According to the OEM, the Hummer EV can run 0-60 mph in approximately 3 seconds.
Rivian’s R1T pickups beat the Hummer EV’s range, reaching up to 400+ miles on a single charge. In terms of performance, the R1T matches GM’s Hummer EV with the ability to run 0-60 mph in 3 seconds.
The Cybertruck will be Tesla’s first entry into the pickup truck market, but the company certainly didn’t hold back when it came to range and performance. The tri-motor Cybertruck is expected to have an EPA-estimated range of 500+ miles and can run 0-60 mph in about 2.9 seconds.
Unique Features
When it comes to novel features, GMC has some tricks up its sleeve. After all, the legacy automaker has been in the pickup truck market for decades and has enough experience to understand what Hummer customers want. When Rivian revealed the R1T, it seemed to understand the pickup truck market’s customer base well, too.
When it comes to vehicles, utility is a top priority, most especially for pickup truck buyers. Rivian understood that useful features mattered and included features like a cleaver gear tunnel and “Tank Turn.” Both features were specifically included in the Rivian R1T with the pickup customer in mind.
The GMC Hummer EV also has some features specifically tailored for pickup owners. During its unveiling, GM introduced the Hummer EV’s CrabWalk feature which allows the vehicle to navigate tricky terrain. The legacy automaker also included adaptive air suspension.
- (Credit: Tesla)
- (Credit: Rivian)
- (Credit: GMC)
Tesla’s focus has always been on sustainability, but it still managed to include some unique features in the Cybertruck. The adaptive air suspension GM announced for the Hummer EV was also seen in the Cybertruck during its unveiling.
The bed of the Cybertruck includes 110v/220v outlets, which impressed many pickup truck owners who use power tools for work or recreation. Tesla’s pickup truck also has Camp Mode, which allows passengers to sleep in their vehicles comfortably without draining the batteries.
Camp Mode is not unique to the Tesla Cybertruck. The feature is available in all Tesla vehicles. But it’s one of many features that neither GM nor Rivian has announced for their pickup trucks. Camp Mode will not be the only quirky Tesla feature that will make it to the Cybertruck, too. There are also features like Dog Mode and the multiple entertainment features available in Tesla vehicles like Caraoke.
Conclusion
Tesla and Rivian, especially the former, have forged their own path in the auto industry. Both car companies have committed to manufacturing sustainable vehicles with great performance and look good doing it.
In comparison, General Motors Truck Co. has been one of the leading car manufacturers in the world for decades and has created some of the toughest pickup trucks ever made. So it’s no surprise everyone wondered what GMC would bring to the table when it announced the Hummer EV.
Given each automaker’s competencies, the battle between the GM Hummer EV, Tesla Cybertruck, and Rivian R1T could decide the future of the electric pickup market. Nevertheless, the presence of the three all-electric trucks in the market today bodes well for the shift to sustainability as a whole. Every GMC Hummer EV sold is one less ICE truck on the road, after all.
Watch an in-depth look at the GMC Hummer EV 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.





