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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.
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.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
