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Tesla Model Y efficiency exceeds early-production Model 3, data shows

(Credit: Evan Jarecki)

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Doubts may still linger about the potential of battery electric vehicles for mainstream transportation, but EVs are getting progressively better. And if the data from the Tesla Model 3 and Model Y fleet is any indication, it appears that these improvements could result, at least to some degree, in an all-electric crossover being more efficient than the early production versions of an all-electric sedan.

In a recent conversation with Teslarati, David Hodge, the founder and CEO of Embark — a transportation app company that was sold to Apple in 2013 — explained that his work on a little passion project has shown something incredibly interesting about the Model 3 and Model Y’s efficiency. Hodge is currently working on the Nikola app, a service that he hopes will eventually grow to be the CarFax for EVs. So far, users of the app have driven about 7,000,000 miles, and over 2,000 Model 3s are registered in the fleet. 

These Model 3s are comprised of vehicles that were produced from the beginning of Elon Musk’s first “alien dreadnought” attempt to cars that rolled off the line this quarter. Based on data that the Nikola app proprietor shared, it is evident that the Model 3 has gotten significantly more efficient over the years. Users of the app with vehicles produced in 2018, for example, showed a real-world average MPGe of 90.3, while cars that were produced in 2019 had a real-world average of 100.4. 

The Tesla Model 3’s real-world efficiency over time, as reflected by users of the Nikola app. (Credit: David Hodge)

These efficiency improvements continued in the first half of 2020, when Nikola app users who owned Model 3s showed a real-world average MPGe of 105.2. Interestingly enough, Tesla appears to have rolled out a major improvement to the Model 3’s efficiency in the second half of the year, as vehicles produced after June 2020 have shown a real-world average MPGe of 125.7. That’s the biggest improvement in the Model 3’s efficiency yet, at least as reflected in data from the Nikola app’s users. 

Inasmuch as the improvements in the Model 3’s MPGe are notable, the efficiency of the Model Y appears to be even more noteworthy. The Model Y is the newest vehicle in Tesla’s lineup today, having started deliveries earlier this year. But even with its early ramp, it is becoming quite evident that Tesla did something special with the all-electric crossover. 

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Nikola app users who owned Model Ys that were produced in the first half of 2020 showed a real-world average MPGe of 103.2, which was very close to the MPGe of Model 3s that were manufactured in the same period. And just like the Model 3s, Model Ys that were produced after June 2020 exhibited a significant improvement in efficiency, with the vehicles having a real-world average MPGe of 118.7. That’s higher than the MPGe of Model 3s that were produced just last year

The real-world MPGe of the Tesla Model 3 as compared to the Tesla Model Y, per data from users of the Nikola app. (Credit: David Hodge)

As noted by Hodge, such efficiency figures from the Model Y are extremely impressive, especially considering that it is larger and significantly heftier than the Model 3. This is also a pretty unique situation considering that the company’s flagship sedan, the Model S, has always been significantly more efficient than its SUV counterpart, the Model X.

“This is pretty impressive considering the obvious aerodynamic differences in the Y and the fact that the S has always outperformed the X by about 15. If you just look at cars made since June, the Model Y MPGe climbed to 119 on average, but it looks like some of the tech improvements made it over to the 3, which is seeing 125.6 MPGe average in that period,” Hodge noted. 

Tesla has a habit of rolling out improvements to its vehicles as soon as they are available. The latest Teslas are therefore expected to have the best tech that the company has to offer at the time of their production. With this in mind, and as per the findings of auto teardown expert Sandy Munro, the Model Y is indeed equipped with Tesla’s best, both in tech and in design. And considering that the all-electric crossover is expected to share components with its sedan sibling, it is not very surprising to see the Model 3 experience efficiency gains as soon as the Model Y started ramping up. Such is simply the nature of Tesla. 

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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SpaceX reveals what Anthropic will pay for massive compute deal

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Rendering of Elon Musk overlooking a Starship fleet (Credit: Grok)
Rendering of Elon Musk overlooking a Starship fleet (Credit: Grok)

SpaceX has disclosed the full financial details of its groundbreaking agreement with Anthropic, confirming that the AI company will pay $1.25 billion per month for dedicated high-performance computing resources.

The revelation came through SpaceX’s latest securities filing in preparation for its initial public offering, shedding light on one of the largest compute deals in the artificial intelligence sector to date. The prospectus was released last night, as SpaceX is heading toward its IPO.

This arrangement underscores the fierce demand for specialized infrastructure as frontier AI models require unprecedented levels of processing power to train and operate effectively. Industry analysts see the disclosure as a significant milestone, highlighting how top AI labs are locking in massive capacity to stay ahead in a rapidly accelerating field.

For SpaceX, it feels like a massive move that pushes its perception as a company from space exploration to artificial intelligence.

SpaceX is following in Tesla’s footsteps in a way nobody expected

The comprehensive deal grants Anthropic exclusive access to SpaceX’s Colossus clusters, encompassing Colossus I and the substantially expanded Colossus II, which together deliver hundreds of megawatts of power along with more than 200,000 NVIDIA GPUs.

Payments extend through May 2029, totaling nearly $45 billion overall; capacity is scheduled to ramp up during May and June 2026 at an initial discounted rate to facilitate seamless integration. Both companies retain the option to terminate the agreement with ninety days’ notice, so there is definitely some flexibility for both.

This pact not only enhances Anthropic’s ability to scale usage limits for Claude users but also injects substantial recurring revenue into SpaceX, bolstering its expansion into advanced data center operations and future orbital computing initiatives.

Observers describe the collaboration between the two companies as strategically advantageous because it gives Anthropic cutting-edge AI development the opportunity to collaborate with SpaceX’s expertise in rapid, large-scale infrastructure deployment.

This disclosure arrives at a pivotal moment when computing resources have become the primary bottleneck for AI progress.

As leading organizations compete to build more powerful systems, securing reliable, high-density facilities has emerged as a key differentiator.

SpaceX’s sites, such as those in Memphis, offer superior power availability and advanced cooling solutions that set them apart from conventional providers. For Anthropic, the added capacity is expected to deliver tangible improvements, including extended context windows, quicker inference times, and innovative features that appeal to both enterprise clients and individual users.

Looking ahead, the partnership paves the way for ambitious joint projects, including potential space-based AI compute platforms designed to overcome terrestrial limitations on energy and thermal management. Such efforts could redefine sustainable computing at massive scales.

Financially, the deal solidifies SpaceX’s diverse revenue profile ahead of its public market debut, extending beyond traditional aerospace activities. The massive check SpaceX will cash each month opens up the idea that additional

While some experts question the sustainability of these enormous expenditures given ongoing efficiency gains in AI architectures, the commitment reflects a strong belief in sustained demand growth.

The agreement also exemplifies productive synergies across sectors, with aerospace engineering insights optimizing AI hardware performance. As global attention on technology concentration increases, arrangements of this nature may help shape equitable access to critical resources.

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SpaceX just filed for the IPO everyone was waiting for

SpaceX filed its public S-1, revealing $18.7 billion in revenue and billions in losses.

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SpaceX publicly filed its S-1 registration statement with the Securities and Exchange Commission on May 20, 2026, making its financial details available to the public for the first time ahead of what could be the largest IPO in history.

An S-1 is the formal document a company must submit to the SEC before going public. It includes audited financials, risk factors, business descriptions, and how the company plans to use the money it raises. Companies are required to file one before selling shares to the public, and it must be published at least 15 days before the investor roadshow begins. SpaceX had already submitted a confidential draft to the SEC in April, which allowed regulators to review the filing privately before it went public.

The S-1 reveals that SpaceX generated $18.7 billion in consolidated revenue in 2025, driven largely by its Starlink satellite internet division, which posted $11.4 billion in revenue, growing nearly 50% year over year. Despite that growth, the company lost about $4.9 billion in 2025 and has burned through more than $37 billion since its founding.

SpaceX just forced Verizon, AT&T and T-Mobile to team up for the first time in history

A significant portion of those losses trace back to xAI, Elon Musk’s artificial intelligence company, which was recently merged into SpaceX. SpaceX directed roughly 60% of its capital spending in 2025 to its AI division, totaling around $20 billion, yet that division lost billions and grew revenue by only about 22%.

SpaceX plans to list its Class A common stock on Nasdaq under the ticker SPCX, with Goldman Sachs, Morgan Stanley, and Bank of America leading the offering. The dual-class share structure means going public will not meaningfully reduce Musk’s control, as Class B shares he holds carry 10 votes per share compared to one vote for public Class A shares.

The company is targeting a raise of around $75 billion at a valuation of roughly $1.75 trillion, which would make it the largest IPO ever. The investor roadshow is reportedly planned for June 5.

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Tesla scales back driver monitoring with latest Full Self-Driving release

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tesla cabin facing camera
Tesla's Cabin-facing camera is used to monitor driver attentiveness. (Credit: Andy Slye/YouTube)

Tesla has scaled back driver monitoring to be less naggy with the latest version of the Full Self-Driving (Supervised) suite, which is version 14.3.3.

The latest version is already earning praise from owners, who are reporting that the suite is far less invasive when it comes to keeping drivers from taking their eyes off the road. The first to mention it was notable Tesla community member on X known as Zack, or BLKMDL3.

Musk confirmed that v14.3.3 was made to nag drivers significantly less, something that Tesla has worked toward in the past and has said with previous versions that it is less likely to push drivers to look ahead, at least after looking away for a few seconds.

This refinement aligns with Tesla’s ongoing push toward unsupervised FSD. The update also brings faster Actual Smart Summon (now up to 8 mph), reliable “Hey Grok” voice commands, richer visualizations, smoother Mad Max acceleration, and an intervention streak counter that rewards consistent use. Reviewers describe the drive as more human-like and confident, with fewer twitches or unnecessary maneuvers.

Musk has repeatedly signaled this direction. In late 2025, he stated that FSD would allow phone use “depending on context of surrounding traffic,” noting safety data would justify relaxing rules so drivers could text in low-risk scenarios like stop-and-go traffic.

We tested this, and even still, the cell phone monitoring really seems to be less active in terms of alerting drivers:

Tesla Full Self-Driving v14.2.1 texting and driving: we tested it

Earlier, ahead of v14, Musk promised the system would “nag the driver much less” once safety metrics improved.

In 2023, he confirmed the steering wheel torque nag would be “gradually reduced, proportionate to improved safety,” shifting reliance to the cabin camera. Subsequent updates like v13.2.9 and v12.4 further loosened monitoring, cracking down on workarounds while easing legitimate distractions.

These steps reflect Tesla’s data-driven approach: FSD’s safety record—reportedly averaging millions of miles per crash—now outpaces human drivers in many scenarios, giving the company confidence to dial back interventions. Reduced nags improve usability and trust, encouraging more drivers to rely on the system rather than disengaging out of frustration.

However, there are certainly still some concerns. In many states, it is illegal to handle a cell phone in any way, requiring the use of hands-free devices. In Pennsylvania, it is illegal to use your cell phone at stop lights, which is definitely a step further than using it while the car is actively in motion.

v14.3.3 represents tangible progress. Making FSD less adversarial and more seamless is definitely a step forward, but drivers need to be aware of the dangers of distracted driving. FSD is extremely capable, but it is in no way fully autonomous, nor does its performance warrant owners to take their attention off the road.

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