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Updated: Tesla Model Y specification discrepancy has experts scratching their heads
Update: 5/3 12:40 pm est: Tesla has updated the specifications of the Model Y RWD in North America. See para. 3
A discrepancy in the Tesla Model Y’s specifications leaves experts and fans confused and wondering what will come to the United States.
Tesla has always been at least a little tight-lipped about its engineering and design, and this pseudo-secrecy certainly isn’t aided by its lack of a communications team. However, this has come to a head recently as fans have discovered a discrepancy in the specifications of Tesla’s newest offering, the rear-wheel-drive single-motor Model Y, which currently is only sold in select markets.
The Tesla Model Y spec discrepancy was first identified by Mathias Føns on Twitter, who pointed out that the Model Y RWD sold in North America is significantly heavier and charges substantially faster than its counterpart abroad.
The??Tesla Model Y RWD that recently launched has head-scratching specs
It weighs 319kg more than the??MY LR
Furthermore, it weighs 389kg more than the??MY RWD, has 47% higher max supercharging capabilities & ~15 km lower range (WLPT→EPA)
Did Tesla stealth launch new MY tech? pic.twitter.com/tYqoow7x4e
— Mathias Føns (@FonsDK) May 2, 2023
Since its discovery, Tesla has updated its website, decreasing the weight listed in North America to match the global model. However, the Model Y RWD outside of North America still charges at 170kW, while its North American counterpart charges at 250kW. Tesla has not publically addressed this disparity.
Looking at the spec sheets posted on Tesla websites worldwide, the heavier and faster charging Model Y RWD is only being sold in North America, including both Canada and Mexico, though the vehicle is not yet available in the States. In contrast, models sold in Australia, Europe, and Asia are lighter and charge significantly slower. Specifically, the North American model is 389kg (857.6 lbs) heavier than its global counterpart and charges almost twice as fast, 250kW vs. 170kW. The listed weight of the model sold in China is 2kg heavier than the one sold in Europe, but it has the same recorded charging speed.
The two models also seem to differ slightly in estimated range, though they aren’t precisely comparable considering they use entirely different testing schedules; EPA in North America, WLTP in Europe and Australia, and CLTC in China.
Strangely, this discrepancy continues when comparing the Model Y RWD with the Model Y Long-Range AWD sold in the same market. According to the Tesla Canada website, the RWD is 319kg (703.3 lbs) heavier than the LR AWD, though they charge at the same speed, 250kW.
While some have hypothesized that this weight difference has to do with how the weight is measured in each country, the more likely difference, which could also explain the dramatic difference in charging speed, is battery chemistry. Tesla does not list this difference on its website. Still, using lithium iron phosphate (LFP) batteries in North America would explain the incredible weight difference and the charging speed increase, that is, if the global model is using a lithium nickel manganese cobalt (NMC) battery.
Tesla CEO Elon Musk has previously noted that the automaker plans to switch all of its lower-priced offerings to the cheaper-to-produce LFP battery, further adding credence to the battery chemistry hypothesis.
With Tesla expected to continue to grow the reach of each of its product lines, many anticipate it will only be a matter of time before the RWD variant of the Model Y makes its way to Tesla’s home market, the United States. And with the rest of North America already using the heavier, faster charging model, Americans should expect access to this variant instead of the global version.
Along with the charging speed bump, the LFP battery would provide significantly improved durability and battery lifespan compared to those sold in Europe, Asia, and Australia.
What do you think of the article? Do you have any comments, questions, or concerns? Shoot me an email at william@teslarati.com. You can also reach me on Twitter @WilliamWritin. If you have news tips, email us at tips@teslarati.com!
News
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance.
More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system.
Jensen Huang’s praise for Tesla FSD
Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”
During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:
“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said.
Nvidia’s platform approach vs Tesla’s integration
Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.
“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.
He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.
“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”
He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.
Elon Musk
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters.
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI’s turbine deal details
News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.
As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X.
xAI’s ambitions
Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”
The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others.
Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote.
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
