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Porsche Taycan vs Tesla Model S: Powertrain, battery, performance, and features
The Tesla Model S has been sitting on top of the full-sized electric sedan market for a while now — and for good reason. The vehicle, after all, has played a huge part in changing the public’s perception of what electric cars are capable of. Fast, sleek, and equipped with real range, the Model S is a true no-compromises vehicle.
Among all the competitors for the Model S, there is one that is being developed to compete directly with the electric car. That is the Porsche Taycan, formerly known as the Mission E sedan. The Taycan made its debut during the 2015 Frankfurt Motor Show, and it has captured the imagination of EV enthusiasts ever since. Porsche is yet to unveil the production version of the Taycan, though it has several camouflaged units doing real-world tests today.
Porsche appears to be a legacy automaker that is really serious about making the Taycan a successful vehicle — so much so that the company actually released the car’s specs earlier this year. That said, how does the Taycan compare to the golden standard of four-door electric sedans? Here’s a brief comparison.
Powertrain
The Tesla Model S was initially released with an RWD option, though all variants of the vehicle today are now Dual Motor AWD. The Model S uses three-phase, four pole AC induction motors with copper rotors as its powertrain. The car is also equipped with a drive inverter with variable frequency drive and regenerative braking system.
In contrast, Porsche is using permanently excited synchronous motors (PSM) for the Taycan. In true Porsche tradition, the PSM motors are race-bred, having been used in the Porsche 919 Hybrid racecar. Naser Abu Daqqa, Porsche’s director of electric drive systems, notes that the coils used in the Taycan’s PSM motors are “made of wires that aren’t round, but rather rectangular, making it possible to pack the wires more tightly and get more copper into the coil machines—increasing power and torque with the same volume.”
Batteries and Charging
Tesla’s battery packs hold the standard as some of the finest in the industry. With the Model S, Tesla is using 75 kWh or 100 kWh microprocessor controlled, lithium-ion batteries. The Model S also uses 18650 cells as the components of its packs, which allow the vehicle to reach up to 315 miles per charge. The Tesla Model S is fully compatible with the ~120 kW Supercharger Network, which currently has more than 10,900 stalls worldwide.
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The Porsche Taycan is set to use lithium-ion batteries as well. In a press release about the vehicle, the German legacy automaker noted that it would use 4-volt cells in the Taycan’s 800-volt battery pack. Porsche is designing the Taycan for rapid charging at speeds of up to ~350 kW through the upcoming IONITY Network, whose initial construction is underway.
The Porsche Taycan track testing at the Nurburgring.
Performance
The Tesla Model S has a reputation for being a family sedan that can humiliate supercars on the drag strip. The Model S P100D, the vehicle’s top trim, is capable of going from 0-60 mph in just 2.4 seconds with its Ludicrous Mode upgrade. The vehicle’s top speed is software-limited to 155 mph.
Porsche notes that the Taycan would have a 0-60 mph time of 3.5 seconds and a top speed of 155 mph. While this is not as quick as the top-tier Model S P100D, Porsche maintains that the Taycan would be able to handle extended track driving — an area that the Model S does not excel in. Porsche appears to be putting its foot where its mouth is with the Taycan’s track capabilities, as the vehicle has been spotted testing in the Nurburgring multiple times over the past few months.
Software
Tesla is noted for its Autopilot driver-assist system and firmware updates that add features to its vehicles. This was particularly exhibited last year when the company opted to “uncork” the 75D and 100D variants of the Model S and Model X, which lowered the vehicles’ 0-60 mph times. Tesla CEO Elon Musk also noted during the company’s Q2 2018 earnings call that Software V9 would be coming soon, which should introduce the first features of Tesla’s Full Self-Driving suite.
Porsche plans to feature the same system for the Taycan. In an interview with Autocar at the Geneva Motor Show, Porsche chairman Oliver Blume stated that the automaker is also looking to give the Taycan (then called the Mission E sedan) firmware upgrades that improve the car’s performance. Blume also alluded to some degree of self-driving for the vehicle, stating that “there are situations in traffic jams where you will be able to read a newspaper, but our customers take pleasure from driving and this will remain.”
Cargo Space
The Tesla Model S features a lot of space for cargo. The vehicle has a total cargo volume of 31.6 cu ft, comprised of 5.3 cu ft in the frunk, and 26.3 cu ft at the rear. With the back seats folded, the Model S features a very spacious 58.1 cu ft, which is enough to fit an inflatable twin mattress, for those times when drivers would prefer to sleep in their vehicles.
Porsche has not revealed the storage capacity of the Taycan yet, but Stefan Weckbach, the head of electric vehicles at the company, did mention that the car would have 100 liters of storage in the frunk. That’s about 3.53 cu ft, which is smaller than the Model S.
Price
The Model S 75D (the current base model) starts at $74,500, though higher trims like the supercar-slaying P100D could cost as much as $135,000. On the other hand, Porsche expects the Taycan to start at around the ~$75,000 – $85,000 range, putting it close to the price of an entry-level Panamera.
Availability
The Tesla Model S is currently available for purchase, though there are rumors that a refresh featuring an updated interior would be rolled out within the next few quarters. The Porsche Taycan, on the other hand, is expected to start production sometime in 2019, with deliveries likely hitting their stride around 2020.
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Tesla has started rolling out a broader change to the ride experience for its Robotaxi fleet by silencing turn signals, but the change is certainly polarizing.
Tesla has generally made it clear that its purpose-built ride-hailing platform, Robotaxi, will cater to the rider in nearly every way possible. This includes having climate preferences, music, and other personal settings loaded up in the car as the rider enters.
But Tesla is taking it a step further by muting turn signal chimes altogether, a change that appears to be a way to make the ride more peaceful:
Tesla has finally turned off the blinker/turn signal noises in their Model Y Robotaxis.
This is a small update, but will definitely be noticeable for riders. It didn’t really make much sense to leave the turn signal sound on when it’s Unsupervised. pic.twitter.com/ITwx60PAMO
— Sawyer Merritt (@SawyerMerritt) July 27, 2026
However, there are a handful of people who are not thrilled about this change. Turn signals are a conditioned part of the human mind for those who ride in a car regularly.
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Taking a turn without one feels strange and odd, and not hearing it click while activated could set off some alarms for riders, who might use the noise as confirmation that other drivers know of their intention to turn.
I kind of like it being on, threw me off when riding with Zoox who has had it disabled
— Dan Burkland (@DBurkland) July 27, 2026
Turn signal noises are still audible in customer cars, so if you use FSD in your personal vehicle, you will still hear the turn signal.
The move is certainly one that is unique, but not one that separates it from other ride-sharing services. In a normal car, the clicking sound confirms to the driver that the blinker is active. In a fully driverless Robotaxi, that feedback serves no purpose for passengers, other than peace of mind.
Tesla released Full Self-Driving version 14.3.6 last week, and after what was potentially one of the best FSD releases in v14.3.5, there has been a bit of a regression. While there are some bright spots, the changes made to v14.3.6 seem to have backtracked some behaviors.
Overall, it is hard to really complain about FSD in any sense; it has revolutionized how I travel literally anywhere. According to my self-driving app, the last time I went a day without using it was 59 days ago.
However, I think it’s also important to recognize when things are just plain bad with FSD. There are times it does truly mind-boggling things, and I’ll dive into those here. Additionally, I only had these issues on local roads, not on highways. Highway operation, generally, is always incredible other than the occasional complaint about speed or left lane camping.
With those things being said, my personal experience may not represent others’ experiences. A handful of people have said they have had a similar experience on v14.3.6, while others have said it is more than normal.
Turning Hesitancy, Inaccuracy
I’ve noticed more inaccuracy turning into multi-lane stretches of road than in any version I can remember. I’ve had at least three instances of FSD turning into a stretch of roadway that has two or more lanes, and not selecting a lane confidently as it has in past versions.
I think Tesla FSD v14.3.6 is a regression from previous .3 branches
This version in particular has been incredibly hesitant, jerky, and indecisive at times. There’s actually been two drives that I have decided to not used FSD for the remainder of the trip. These were local trips… pic.twitter.com/YobHDOKRS6
— TESLARATI (@Teslarati) July 26, 2026
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Instead, the car will drive over one of the dashed road lines, and the steering wheel will jerk back and forth before picking the lane. It should be said that it has always picked the correct lane when choosing based on the navigation, but it is still very indecisive. The steering wheel jerking is reminiscent of some of the later versions of v13.
I admit I really hate to see the steering wheel jerking come back. However, I think when Tesla releases v14.3.7, it won’t be present. When there are occurrences of it in FSD versions, it is usually resolved by the following release.
FSD Disregards Manual Turn Signals
This is my biggest bone to pick with FSD other than Navigation issues, but this one seems like it would be such an easy fix.
If Tesla is going to put the word “Supervised” on the end of “Full Self-Driving,” then when I tell the car to do something, it should do it. If I input an increase in speed by pressing the accelerator, the car will immediately respond. It does not disregard my input because it feels it is traveling at the right speed.
FSD should never disobey and turn off turn signals that the driver inputs. Trying to direct the car into the correct lane, I had initiated the left turn signal not once, not twice, but three times, with the car turning it off all three times and continuing in a lane that would end in just one block. The only solution at this point would be to zipper merge.
This goes back to the fact that self-driving’s biggest bottleneck might be rider preference. A zipper merge might have been more than reasonable, might have saved me time that I spent sitting through an additional light cycle, and might be something many drivers would do. I was in no hurry, I traditionally do not try to zipper merge because it feels inconsiderate, and lastly, the car should have just followed my input.
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This caused me to disengage and drive manually the rest of the way home. Sometimes I just do not need FSD to try to pass every car it can at intersections.
Bird Braking is a Thing of the Past
The big complaint with recent versions of Full Self-Driving has been what we’ve coined as “bird braking,” which is when the car will brake suddenly as a bird flies past.
There have been zero issues with this so far in v14.3.6, which is an excellent improvement.
FSD Might Already Be Taking Note of Driver Preferences
Another thing I have noticed over the past few days is that v14.3.6 seems to already be taking my preferences with navigation into account.
This is something that is supposed to be rolling out with the Summer Update, but I have a hunch it’s already present and might have been included in this v14.3.6 build. On Friday, FSD pulled into an entrance to a local convenience store that it had never attempted to go into before.
Typically, I manually pull into this entrance because it avoids heavy cross traffic at the main entrance. FSD has always chosen that congested main entrance.
I don’t want to get anyone excited but my Tesla running FSD v14.3.6 just:
✅ Pulled into an entrance at my local Sheetz that I routinely pull into manually but FSD never has entered
-✅ Pulled into my assigned parking space at home despite many other spots being vacant https://t.co/ZUShvknTWO pic.twitter.com/83O5a2S0eh
— TESLARATI (@Teslarati) July 24, 2026
Additionally, FSD has pulled into my assigned parking spot at my townhouse community on multiple occasions with this release. This is something that used to happen ocassionally, but not consistently.
It also navigated back to the same convenience store last night, drove through crazy cars scrambling to gas pumps, navigated out of the parking lot correctly, drove me home, and, once again, parked in my assigned spot.
As previously stated, this release just seems to have a few things that need to be brought to Tesla’s attention, and also to make others who use FSD aware of some things that I’ve experienced. I look forward to the next release that will remedy these issues, just as Tesla has always done in the past.
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Elon Musk’s massive Terafab project, which will be the first true conglomeration between each of his major entities, is set to get its final location soon, the CEO said on Tesla’s recent earnings call.
“The Terafab, we expect to announce a location soon, and provide more details about our plans in that regard. We’ll leave that to the product, the launch announcement rather than try to squeeze it into an earnings call,” Musk said last Wednesday.
Tesla Terafab set for launch: Inside the $20B AI chip factory that will reshape the auto industry
Terafab was announced by Musk back in March and was essentially a massive, vertically integrated semiconductor manufacturing project that would provide all the chips the three companies needed for their AI initiatives without needing third-party companies.
The plant will produce over 1 terawatt of AI compute each year, and will help back up projects like Optimus, Full Self-Driving, and other AI-based projects that Musk’s companies are working on.
In April, less than a month after the project was launched, Intel announced it would join the project, contributing manufacturing expertise and consulting to Terafab as a whole. Intel is one of three chip manufacturers that produce sub-5 nanometer chips at scale. TSMC and Samsung are the other two.
However, there was no true indication of where Terafab would end up, but most believe it will likely be somewhere in Texas. Business Insider has reported that SpaceX plans to build out Terafab in Grimes County, Texas, but this is unconfirmed.
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Musk confirmed recently that it would not be on Giga Texas property, as it is simply too large.
The sheer scale of TERAFAB is going to be insane.
Elon said it wouldn’t be suitable for anywhere on Giga Texas property because it’s too big:
“We couldn’t possibly fit the Terafab on the GigaTexas campus. It will be far bigger than everything else combined there.
Several… pic.twitter.com/79GbhNNuf4
— TESLARATI (@Teslarati) March 23, 2026
Terafab holds much of Musk’s grand ambitions for the future within its construct. It holds so much responsibility for the future and the biggest projects that Musk’s companies can imagine.
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“I think this is a very big announcement and it deserves to have its own day in the spotlight and not be squeezed into an earnings call,” he said. “I do think Terafab is going to be an amazing initiative and a necessary one, and one without which we will be constrained in our ability to scale Optimus production, because we simply won’t have enough AI chips.”
He continued by stating that Terafab is necessary for scaling Optimus, which Musk said could be the biggest product of any kind of all time. “It’s crucial to solve that, and we’ll have to solve memory, logic, and packaging in order to scale Optimus.”
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