Tesla’s online configurator for its electric cars primarily shows a price that’s adjusted for incentives and estimated fuel savings. These savings vary depending on the vehicle being ordered, with the company listing estimated gas savings of $4,300 for the Model 3 and Model Y, $5,300 for the Model X, and $5,500 for the Model S. These may seem like optimistic estimates, but as it turns out, these figures are actually conservative, at least for the majority of the United States.
Tesla’s fuel savings estimate is based on the premise that charging an all-electric vehicle is a lot more affordable than filling up the tank of a petrol-powered car. Looking at the company’s estimates, it appears that the listed fuel savings for the Model S, 3, X, and Y are based on the assumption that drivers would drive their Tesla for 10,000 miles annually for a period of six years. The costs of charging a Tesla over this period is then compared to the estimated costs of refueling a comparable vehicle, such as a BMW, with premium gasoline.
This strategy actually makes sense, considering that the all-electric construction of a Tesla will likely allow the vehicle to be used for at least six years. The comparison with BMW’s vehicles is quite sound as well, seeing as both companies offer premium cars that perform and compete in the same segment. That being said, EV charging rate monitoring service Optiwatt noted in a recent report that Tesla’s estimated gas savings are a lot more nuanced than what the company’s online configurator would suggest.
If there is one area where Tesla could be faulted, it is in the way that its estimated fuel savings for the US are the same regardless of the state where the car is being purchased. Different states have different electricity and average fuel prices, which means that there are some places where Tesla drivers could save more than the company’s own estimates, and areas where the opposite will be accurate. Take Hawaii, for example. The state pays 32 cents per kWh of electricity, which is over three times higher than the 9 cents per kWh that are paid by residents in Oklahoma.
Fuel consumption varies across states as well, with drivers in rural areas consuming more petrol and drivers in high-density states like New York consuming less. Wyoming drivers buy the most gas per capita at 609 gallons per person per year, while New York purchases less than half at 292 gallons per person per year. Considering that Tesla’s fuel savings rely on the price discrepancy between electricity and gas, owners who drive more are more likely to meet the company’s fuel savings estimates compared to owners who drive less.
Optiwatt’s analysis notes that ultimately, there are some areas in the United States where owning a Tesla will save drivers far more than what the company’s estimates would suggest, and there are some areas where fuel savings will be underwhelming. Driving a Model Y in Rhode Island for 10,000 miles every year for six years will save owners about $4,235 in fuel costs, which is a bit less than the company’s $4,300 estimate. Driving the all-electric crossover in Wyoming for six years, on the other hand, will give owners fuel savings of $11,122, over two times the company’s estimates.
A look at Optiwatt’s data shows that Tesla’s newer vehicles like the Model 3 and Model Y are more likely to meet the company’s fuel savings estimates, despite the Model S and Model X’s free Supercharging capabilities. Yet on average, across Tesla’s vehicle lineup, it appears that Americans can expect to save about $2,500 more than the company’s estimated savings over a six-year period. This bodes well for electric cars and their economic appeal as a whole. After all, a Tesla is not just designed to run for 6 years. With the company’s million-mile batteries poised to be released soon, Tesla drivers over the years will likely see even more fuel savings for every electric car purchase.
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
