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Porsche Taycan’s repeatable performance claims put to the test by veteran drag racer
When Porsche launched the Taycan last year, its message was clear. It’s an all-electric performance car built for the track. You can take it with a battery half charged and you’ll still get the same level of performance you’d expect at full charge. At least that’s what Porsche promises.
DragTimes YouTube channel host and Tesla owner Brooks Weisblat recently put the Taycan Turbo’s repeatable performance claim to a real-world test. He took a Taycan Turbo and the more powerful Turbo S out on the track to see how they would perform launching from 0 to 60 mph and covering the 1/4 mile.
Weisblat specifically asked the engineers at Champion Porsche in Pompano Beach, FL to have both cars ready at full charge. However, while the Turbo had a 91% charge when he arrived, while the Turbo S was only at 57%. This presented a unique opportunity to test just how well the vehicles performed with such discrepancy in their battery levels.
At just a little bit more than half charge, the $185,000 Turbo S went from 0 to 60 mph in 2.67 seconds and ran a quarter-mile at 124 mph. It’s impressive for an all-electric vehicle but not so much for one housing the world’s first two-speed gearbox in an electric car.
“I kind of expected it to be a little better especially given it having the transmission,” Weisblat says. “I was expecting track speeds near 130 mph. The launch I wasn’t so sure because Porsche’s claiming it does 0 to 60 in 2.8 seconds.”
Previous testing done by DragTimes shows the Tesla Model S with a 96 percent charge can go from 0 to 60 mph in 2.45 seconds. That’s a couple of tenths of a second faster than the Turbo S, which has acceleration and speed advantages due to its two-speed transmission.
The Turbo, which has 90 less horsepower than the Turbo S, went from 0 to 60 mph at 2.8 seconds. It’s not as fast as the Turbo S but it’s nothing to scoff at. But here’s the kicker. After the first 60 mph, the Turbo S didn’t have much of an advantage over the less powerful Turbo. If the state of charge doesn’t matter as Porsche says, the Turbo should have at least similar or less performance.
But Weisblat’s testing shows the Turbo at 91% charge went from 60 to 100 mph in 8.41 seconds and took the 1/4 mile at 127 mph. That’s a whole 3 mph faster than the Turbo S, which was at 56% charge when testing began. Had both cars been raced against each other, the Turbo would have won hands down over the Turbo S. Weisblat also says that both Turbo and Turbo S used up about 2% of the battery after each 1/4 mile.
“State of charge does matter with the Porsche. There’s no question about it. Because the Taycan Turbo S sitting at 56 percent is tracking at 124 mph. The Turbo at 91 percent is going 3 mph faster. For those of you who don’t know about road racing or drag racing, that is a significant difference,” he said.
The results would have been different had both cars been charged fully. Weisblat estimates the Turbo S could go the 1/4 mile at 130 mph and launch from 0 to 60 mph at around 2.5 seconds so that it’s right in line with the Tesla Model S. However, he believes that the Turbo S would further drop to 7 seconds once it goes from 60 to 130 mph, just up to par with a Lamborghini Huracan. If so, he says the Model S could be “in trouble,” at least when you take it down to the race track.
To maintain these numbers, Porsche has to keep the Taycan’s battery at optimal temperatures using a unique battery thermal management system. Unfortunately, because the car relies purely on electricity, the Taycan uses up extra energy from the battery just to maintain its energy-intensive temperature control system.
It’s a double-edged sword, especially for an electric vehicle. Porsche had to sacrifice a few things in exchange for performance. A lot of people weren’t happy to hear that the EPA gave the Taycan Turbo S a range rating of 192 miles. The Taycan Turbo didn’t do much better at 201 miles, which is 182 whole miles less than the 373 miles of the Model S Long Range.
But then again, the Taycan isn’t exactly made for most people. In fact, with a six-figure price tag and the Porsche logo on its hood, it’s not even made for mainstream EV buyers. And it’s a good thing for the electric car market as a whole.
Elon Musk
Elon Musk reveals date of Tesla Full Self-Driving’s next massive release
Initially planned for a January or February release, v14.3 aims to add some reasoning and logic to the decisions that Full Self-Driving makes, which could improve a lot of things, including Navigation, which is a major complaint of many owners currently.
Tesla CEO Elon Musk revealed the date of Full Self-Driving’s next massive release: v14.3.
For months, Tesla owners with Hardware 4 have been utilizing Full Self-Driving v14.2 and subsequent releases. Currently, the most up-to-date FSD version is v14.2.2.5, which has definitely brought out mixed reviews. With releases, some things get better, and other things might regress slightly.
For the most part, things are better in terms of overall behavior.
However, many owners have been looking forward to the next release, which is v14.3, about which Musk has said many great things. Back in November, Musk said that v14.3 “is where the last big piece of the puzzle lands.”
He added:
“We’re gonna add a lot of reasoning and RL (reinforcement learning). To get to serious scale, Tesla will probably need to build a giant chip fab. To have a few hundred gigawatts of AI chips per year, I don’t see that capability coming online fast enough, so we will probably have to build a fab.”
Initially planned for a January or February release, v14.3 aims to add some reasoning and logic to the decisions that Full Self-Driving makes, which could improve a lot of things, including Navigation, which is a major complaint of many owners currently.
Tesla Full Self-Driving v14.2 is a considerable improvement from early versions of the suite, but we have written about the somewhat confusing updates that have come with recent versions.
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
They’ve been incredibly difficult to gauge in terms of progress because some things have gotten better, but there seems to be some real regression on a handful of things, especially with confidence and assertiveness.
Musk confirmed today on X that Tesla is already testing v14.3 internally right now. It will hit a wide release “in a few weeks,” so we should probably expect it by late April.
It’s in testing right now. Wide release in a few weeks.
— Elon Musk (@elonmusk) March 19, 2026
Overall, there are high hopes that v14.3 could be a true game changer for Tesla Full Self-Driving, as many believe it could be the version that Robotaxis in Austin, Texas, some of which are driverless and unsupervised, are running.
It could also include some major additions, including “Banish,” also referred to as “Reverse Summon,” which would go find a parking spot after dropping occupants off at their destination.
What Tesla will roll out, and when exactly it arrives, all remain to be seen, but fans have been ready for a new version as v14.2.2.5 has definitely run its course. We have had a lot of readers tell us their biggest request is to fix Navigation errors, which seem to be one of the most universal complaints among daily FSD users.
Cybertruck
Chattanooga Charge: Tesla and EV fans ready for the Southeast’s wildest Tesla party
From Cybertruck Convoys to Kid-Friendly Fun Zones: The Chattanooga Charge Has Something for Everyone
Hundreds of like-minded Tesla and EV enthusiasts are descending on Chattanooga Charge this weekend for the largest Tesla meet in the Southeast. Taking place on March 20–22, 2026 at the stunning Tennessee Riverpark.
If you were there last year, you’ll know that it’s the ultimate experience to see the wildest Teslas in action, see the best in EV tech, and arguably the most fun – finally put a name to the face and connect with those social media buddies IRL! Oh, and that epic night time Tesla light show is a once-in-a-lifetime experience that will transform the Riverpark into something out of a sci-fi film that’s remarkably unforgettable and must be seen in person.
This year’s event takes everything up a notch, with over 100 Cybertrucks expected to be on display, many sporting jaw-dropping modifications and custom wraps that push the boundaries of what these stainless steel beasts can look like.
Whether you’re a diehard Tesla fan, EV supporter, or just EV-mod-curious, the sheer spectacle is worth the drive.
The Chattanooga Charge doesn’t wait until Saturday morning to get started. The weekend technically kicks off Friday, March 20th, and the venue sets the tone immediately. Come share roadtrip stories over drinks at the W-XYZ Rooftop Bar on the top floor of the Aloft Chattanooga Hamilton Place Hotel, with sunset views over the city.
Come morning, nurse your hangover with a some good coffee, and convoy with hundreds of other Tesla and EV drivers through Chattanooga to the event for some morning meet and greets before the speaker panel starts and the food trucks fire up.
Tesla owner clubs travel from across the country to be here, not just to show off their vehicles,, but to connect, share, and celebrate a shared passion for the future of driving.
Sounds like a plan to me. See you there, guys. Don’t miss it. Get your tickets at ChattanoogaCharge.com and join the charge. 🔋⚡
Chattanooga Charge is a premier Tesla and EV gathering inspired by the X Takeover, known as one of the largest Tesla event gatherings. What began as a bold idea from the team at DIY Wraps/TESBROS, hosted in their hometown of Chattanooga, Tennessee, the event quickly became a movement across social media. The first annual Chattanooga Charge united over 16 Tesla clubs from 16 states, proof that the EV community was hungry for something big in the South. Year after year, the event has grown in scale, ambition, and heart.
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Tesla Full Self-Driving gets latest bit of scrutiny from NHTSA
The analysis impacts roughly 3.2 million vehicles across the company’s entire lineup, and aims to identify how the suite’s degradation detection systems work and how effective they are when the cars encounter difficult visibility conditions.
The National Highway Traffic Safety Administration (NHTSA) has elevated its probe into Tesla’s Full Self-Driving (Supervised) suite to an Engineering Analysis.
The analysis impacts roughly 3.2 million vehicles across the company’s entire lineup, and aims to identify how the suite’s degradation detection systems work and how effective they are when the cars encounter difficult visibility conditions.
The step up into an Engineering Analysis is often required before the NHTSA will tell an automaker to issue a recall. However, this is not a guarantee that a recall will be issued.
🚨 The NHTSA said it was upgrading a probe into Tesla’s Full Self-Driving (Supervised) platform to an “engineering analysis”
It will examine 3.2 million vehicles and aims to determine its effectiveness in evaluating degraded road conditions pic.twitter.com/2dkrv1mR8o
— TESLARATI (@Teslarati) March 19, 2026
The NTHSA wants to examine Tesla FSD’s ability to assess road conditions that have reduced visibility, as well as detect degradation to alert the driver with sufficient time to respond.
The Office of Defects Investigation (ODI) will evaluate the performance of FSD in degraded roadway conditions and the updates or modifications Tesla makes to the degradation detection system, including the timing, purpose, and capabilities of the updates.
Tesla routinely ships software updates to improve the capabilities of the FSD suite, so it will be interesting to see if various versions of FSD are tested. Interestingly, you can find many examples from real-world users of FSD handling snow-covered roads, heavy rain, and single-lane backroads.
However, there are incidents that the NHTSA has used to determine the need for this probe, at least for now. The agency said:
“Available incident data raise concerns that Tesla’s degradation detection system, both as originally deployed and later updated, fails to detect and/or warn the driver appropriately under degraded visibility conditions such as glare and airborne obscurants. In the crashes that ODI has reviewed, the system did not detect common roadway conditions that impaired camera visibility and/or provide alerts when camera performance had deteriorated until immediately before the crash occurred.”
It continues to say in its report that a review of Tesla’s responses revealed additional crashes that occurred in similar environments showed FSD “did not detect a degraded state, and/or it did not present the driver with an alert with adequate time for the driver to react. In each of these crashes, FSD also lost track of or never detected a lead vehicle in its path.”
The next steps of the NHTSA Engineering Analysis require the agency to gather further information on Tesla’s attempts to upgrade the degradation detection system. It will also analyze six recent potentially related incidents.
The investigation is listed as EA26002.
Elon Musk reveals date of Tesla Full Self-Driving’s next massive release
Chattanooga Charge: Tesla and EV fans ready for the Southeast’s wildest Tesla party
