Tesla did not waste any time highlighting the Model S Plaid’s killer metric: 0-60 mph in 1.99 seconds. This figure, which can be attained on a prepped drag strip as per MotorTrend‘s formal tests, has effectively dominated news about the flagship sedan — so much so that some of the vehicle’s other notable capabilities have been overshadowed. Among these are its 60-130 mph time, which is arguably the Model S Plaid’s true killer metric.
What has to be said is that the Model S Plaid is a car that continues to pull really strongly far beyond 60 mph. This could be experienced in the vehicle’s acceleration and power at higher speeds. Tests of the Tesla Model S Plaid have revealed that the flagship sedan could go from 60-130 mph in 4.71 seconds. This is undoubtedly impressive on its own, but when one compares this to the 60-130 mph performance of some of the world’s best supercars and electric cars, one could see just how far Tesla has gone with the Model S Plaid.
A stock McLaren 765LT, arguably one of the best supercars today, goes from 60-130 mph in 4.76 seconds. The McLaren P1, one of the “Holy Trinity” of hypercars, does the same in 4.8 seconds. The Ferrari SF90 accelerates from 60-130 mph in 4.97 seconds, while the Ferrari LaFerrari, another one of the hypercar “Holy Trinity,” achieves the same feat in about 5 seconds. These numbers, however, are not the most shocking part of the Model S Plaid’s 60-130 mph performance.
The Model S Raven Performance, Tesla’s previous quickest sedan, takes a whopping 9.4 seconds to go from 60-130 mph as per Car and Driver‘s tests. As noted by Tesla community member u/cookingboy at the r/TeslaMotors subreddit, this was one of the reasons why the Model S had been criticized in the past as a “one-trick pony.” The Raven Performance may go from 0-60 mph in a ludicrous 2.3 seconds, but after achieving highway speeds, its power tapers off.
This could be seen in the Model S Raven Performance’s drag races against the Porsche Taycan Turbo S, a vehicle with a two-speed transmission that achieves 60-130 mph in 8.1 seconds. Races between the Model S Raven Performance and the Taycan Turbo S usually ended up going down to drivers’ reaction times, though the Tesla tended to either lose its lead or fall back further as the race went on and higher speeds are achieved.
This would not be happening with the Model S Plaid. Looking at the vehicle’s 4.71-second 60-130 mph capability, it seems safe to state that Tesla, in its continued pursuit to improve its flagship sedan, effectively made the Model S Plaid twice as quick at 60-130 mph as its previously quickest Model S. Interestingly enough, the Model S Plaid’s high-speed capabilities are rarely highlighted by the company, perhaps because its 1.99-second 0-60 mph time is a more compelling metric.
What is truly remarkable with the Model S Plaid’s 60-130 mph time is that Tesla was able to achieve these figures through its own means. Porsche was able to provide the Taycan Turbo S with amazing high-speed performance using a two-speed gearbox, a mark of its pedigree as a veteran sports car maker. Tesla, on the other hand, was able to attain the Model S’ unearthly metrics using carbon-wrapped electric motors and continued improvements to its battery tech, highlighting its roots in tech and Elon Musk’s physics-heavy background.
Do you have anything to share with the Teslarati Team? We’d love to hear from you, email us at tips@teslarati.com.
Elon Musk
Starlink passes 9 million active customers just weeks after hitting 8 million
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
SpaceX’s Starlink satellite internet service has continued its rapid global expansion, surpassing 9 million active customers just weeks after crossing the 8 million mark.
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
9 million customers
In a post on X, SpaceX stated that Starlink now serves over 9 million active users across 155 countries, territories, and markets. The company reached 8 million customers in early November, meaning it added roughly 1 million subscribers in under seven weeks, or about 21,275 new users on average per day.
“Starlink is connecting more than 9M active customers with high-speed internet across 155 countries, territories, and many other markets,” Starlink wrote in a post on its official X account. SpaceX President Gwynne Shotwell also celebrated the milestone on X. “A huge thank you to all of our customers and congrats to the Starlink team for such an incredible product,” she wrote.
That growth rate reflects both rising demand for broadband in underserved regions and Starlink’s expanding satellite constellation, which now includes more than 9,000 low-Earth-orbit satellites designed to deliver high-speed, low-latency internet worldwide.
Starlink’s momentum
Starlink’s momentum has been building up. SpaceX reported 4.6 million Starlink customers in December 2024, followed by 7 million by August 2025, and 8 million customers in November. Independent data also suggests Starlink usage is rising sharply, with Cloudflare reporting that global web traffic from Starlink users more than doubled in 2025, as noted in an Insider report.
Starlink’s momentum is increasingly tied to SpaceX’s broader financial outlook. Elon Musk has said the satellite network is “by far” the company’s largest revenue driver, and reports suggest SpaceX may be positioning itself for an initial public offering as soon as next year, with valuations estimated as high as $1.5 trillion. Musk has also suggested in the past that Starlink could have its own IPO in the future.
News
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine.
NVIDIA Director of Robotics Jim Fan has praised Tesla’s Full Self-Driving (Supervised) v14 as the first AI to pass what he described as a “Physical Turing Test.”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine. And just like smartphones today, removing it now would “actively hurt.”
Jim Fan’s hands-on FSD v14 impressions
Fan, a leading researcher in embodied AI who is currently solving Physical AI at NVIDIA and spearheading the company’s Project GR00T initiative, noted that he actually was late to the Tesla game. He was, however, one of the first to try out FSD v14.
“I was very late to own a Tesla but among the earliest to try out FSD v14. It’s perhaps the first time I experience an AI that passes the Physical Turing Test: after a long day at work, you press a button, lay back, and couldn’t tell if a neural net or a human drove you home,” Fan wrote in a post on X.
Fan added: “Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies.”
The Physical Turing Test
The original Turing Test was conceived by Alan Turing in 1950, and it was aimed at determining if a machine could exhibit behavior that is equivalent to or indistinguishable from a human. By focusing on text-based conversations, the original Turing Test set a high bar for natural language processing and machine learning.
This test has been passed by today’s large language models. However, the capability to converse in a humanlike manner is a completely different challenge from performing real-world problem-solving or physical interactions. Thus, Fan introduced the Physical Turing Test, which challenges AI systems to demonstrate intelligence through physical actions.
Based on Fan’s comments, Tesla has demonstrated these intelligent physical actions with FSD v14. Elon Musk agreed with the NVIDIA executive, stating in a post on X that with FSD v14, “you can sense the sentience maturing.” Musk also praised Tesla AI, calling it the best “real-world AI” today.
News
Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
The update was released just a day after FSD v14.2.2 started rolling out to customers.
Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers.
Tesla owner shares insights on FSD v14.2.2.1
Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.
Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.
“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.
Tesla’s FSD v14.2.2 update
Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures.
New Arrival Options also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.
Starlink passes 9 million active customers just weeks after hitting 8 million
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
