The Tesla Model 3 and the Polestar 2 were recently pitted against each other by motoring outlet Top Gear. During the magazine’s review, the two vehicles were compared according to their efficiency, performance, and overall long trip capability, to name a new. As it turns out, it appears that the Polestar 2 is both the Model 3’s current biggest rival and strongest ally.
The Model 3 and the Polestar 2 are comparatively priced, with both vehicles commanding a price of about £600 per month in the UK. The two vehicles are also comparable when it comes to their batteries, with the Model 3 sporting a 75 kWh pack and the Polestar 2 being equipped with a 78 kWh unit. Consumption favors the Tesla during a 500-mile drive, however, as the Model 3 consumed 28.4 kW per 100 miles as opposed to the Polestar 2’s 35.7 kW per 100 miles. Part of this is due to the Polestar 2’s weight, which is about 595 lbs heavier than the Model 3.
That being said, when it comes to raw performance, the Model 3 proved to be far zippier than the Polestar 2, with the Tesla hitting 60 mph in 3.2 seconds and the Polestar 2 taking 4.4 seconds to hit highway speed. Top Gear then mentioned something quite interesting. During their test, they opted to put the Model 3 on Chill Mode for the most part while they were operating the vehicle. But even with Chill Mode, the Model 3 still made the Polestar 2 work hard to keep pace.
“This Tesla is the 450bhp Performance, and it pulled an easy ten lengths on the Polestar off every roundabout or away from each village, but we found ourselves driving it in power-reducing Chill mode most of the time, simply to escape the sudden, neck-straining step-off every time we gently pulled away. It’s very eager. Even in reverse, which is a bit disconcerting. Chill mode smoothed the throttle nicely and still made the Polestar work hard to keep pace,” the publication noted.
One thing that stands out is the fact that unlike the Model 3, which was built as an all-electric vehicle, the Polestar 2 is actually built on Volvo’s CMA architecture, which also underpins the popular XC40. The Polestar 2 is also made with steel panels, which are heavier than the aluminum that’s used in some parts of the Model 3. But despite this, the motoring publication noted that the Polestar, like the Tesla, does not feel heavy on the road at all, thanks to its low center of gravity.
Top Gear did state that there are some areas where the Model 3 falls beneath the Polestar 2. One of these is the vehicles’ interior quality, which is an area where Polestar excels in. Another concerns the two vehicles’ driving dynamics. The publication noted that the softer sprung Tesla gets a bit jiggled from side to side and it does not have impressive body control. The Model 3’s steering was also described as “pretty nasty,” as it has an initial resistance that fades as the driver turns.
The publication noted that the Model 3’s steering could not be described as “sporty or involving,” just effective. On the other hand, the Polestar 2’s steering and controls were described as reassuring in the way that they are “meatier and more satisfying.” But despite these drawbacks, the Model 3 still rides more comfortably compared to the Polestar 2.
The two vehicles also compare very well when it comes to their tech, as the Polestar 2’s Google-powered software experience stands pretty well against Tesla’s custom OS for the Model 3. Both vehicles have robust driver-assist features as well, though Top Gear noted that both Tesla and Volvo’s autonomous efforts still have large areas for improvement. This is especially true for Tesla, which sells a Full Self-Driving suite for the Model 3. Both cars are capable of long-distance travel, thanks to the Supercharger Network and Polestar’s partnership with Plugsurfing. But between the two, the Model 3 provides a faster, easier charging experience.
Ultimately, the Polestar 2 is a stellar effort on Volvo’s part. It’s attractive, well-built, and it carries the best of Volvo’s tech and features in an all-electric package. That being said, Top Gear concluded that ultimately, the Model 3 would likely still be the vehicle to choose if one were looking for an electric car, simply because it provides a more complete ecosystem of ownership.
“The Polestar experience is still very Volvo – and there’s nothing wrong with that. No Volvo drives as well as this, nor oozes more Scandi calmness and cool. It’s pure hygge. I know this is less than analytical but I love what it stands for, what it looks like, it’s the one I’d rather be seen driving and yet… the Tesla wins. Given a straight choice between the two, that’s the one I’d drive away. Nothing to do with its speed or autonomy – the two things usually championed by the Teslarati – but because of its ease of use, efficiency, the supercharger network. It’s the more complete mode of transport,” the magazine noted.
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
