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Porsche Taycan Turbo specs: 96 kWh battery, 600+ hp, air suspension, and repeatable peak performance
The Porsche Taycan is arguably one of the most highly-anticipated electric cars this year, and for good reason. The Taycan is Porsche’s first modern all-electric car, bred with racing DNA and technology honed in the track from hybrids like the 918 Spyder and the 919 Hybrid Evo. It is then incredibly pertinent for Porsche to ensure that the Taycan, particularly its top-tier “Turbo” variant, will not disappoint in any way.
A recent review of a Taycan Turbo pre-production prototype suggests that the top-tier variant of Porsche’s electric car could live up to its name, and then some. During a ride-along, Car Magazine European editor Georg Kacher was able to get up close with the upcoming vehicle as it tore through the streets with Porsche’s chief engineer Stefan Weckbach.
Equipped with a 96 kWh lithium-ion battery that weighs 650 kg (1,433 lbs), a 215 bhp/221 lb-ft powerplant on the front axle, and a 402 bhp/406 lb-ft motor at the rear, the Taycan boasts 649 lb-ft of peak torque. That’s enough to propel the car from a dead stop to 60 mph in just over 3 seconds and into 124 mph in less than 10 seconds. It’s not just acceleration, too, as the vehicle is capable of cruising at 162 mph for miles without its battery overheating. Couple that with standard air suspension and a regenerative braking system that is controlled through the steering wheel, and the Taycan becomes an EV that is made from the ground up like every other Porsche: a car that is simply fun to drive.
Porsche notes that the Taycan can perform ten full-throttle 0-62 mph and four 0-124 mph launches without seeing a decrease in performance. The vehicle does enter a “limp mode,” but only when the distance to empty reads zero. With a 96 kWh battery and a claimed 320 miles of range per charge, Taycan drivers would likely enjoy a lot of spirited driving before they need to recharge their vehicles. Porsche admits that the Taycan is not as quick off the line as a Tesla Model S Performance with Ludicrous Mode, but the company noted that the repeatability of peak performance would be the difference-maker.
It is then interesting to note that the Taycan, which is designed from the ground up to be a high-performance electric car, will likely be competing mostly with the Model 3 Performance, Tesla’s track-capable electric sedan. In a way, this would be fitting as the Taycan’s 2910 mm wheelbase is closer to the Model 3’s 2,875 mm than the Model S’ 2,959 mm wheelbase. This is the same for the interior of the vehicles as well, as shown in a review of a Taycan prototype which revealed that the Porsche’s back seats are notably less spacious than a Model S.
From its wide tires to its low profile and its sports car seating, the Porsche Taycan seems intent to capture the crown of the auto industry’s best track-capable EV. This would put it in direct competition with the Tesla Model 3 Performance, a vehicle that has been developing a reputation for competing and winning against the world’s best track-capable sedans like the BMW M3. As shown in Top Gear‘s test, the Model 3 Performance could do quick work of the BMW M3; but with the Taycan as a rival, Tesla’s track competitor would likely be facing a completely different animal.
What is rather interesting is that the Model 3 Performance and the Taycan share some similarities. When the Taycan gets released later this year, for example, the vehicle will be capable of charging up to 250 kW at an 800-volt charging point. The car is compatible with 350 kW charging, but that would come by 2021 at the latest. The Model 3 Performance also charges at rates of up to 250 kW using Tesla’s Supercharger V3 network.
If there is one thing that the Taycan and the Model 3 Performance share no middle ground in, it would be their price. The Taycan is a Porsche, and it is priced like one. The base Taycan will be RWD only, and it will come with an 80 kWh battery pack and a choice of 322 bhp or 376 bhp motors, as well as a low ~$90,000 starting price. The mid-range Taycan Carerra 4S, estimated to be priced in the high ~$90,000 range, will be fitted with a 96 kWh battery pack and offer 429 bhp or 483 bhp.
The Taycan Turbo, which is also equipped with a 96 kWh battery, is expected to cost around £120,000 ($149,000. That’s almost 50% more expensive than a Tesla Model S Performance with Ludicrous Mode, which currently costs just below $100,000. An even more potent Taycan Turbo S with 724 bhp and an RWD Taycan GTS are also in the works. In comparison, the Model 3 Performance is currently priced at less than $55,000 with basic Autopilot as standard.
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
