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Porsche teases Taycan trim levels, over $130,000 price for “Turbo” variant
Porsche is expected to start the production of the Taycan, its first all-electric car, sometime in 2019. As the carmaker prepares to dip its feet into the premium EV market, some details about the upcoming vehicle are now starting to emerge. Take, for one, the names of the Taycan’s trim levels, as well as their corresponding price range.
Auto journalist Alex Roy recently shared a message he received from a Porsche Global Brand Ambassador as a response to an inquiry about the Taycan. As noted by the journalist, Porsche appears to be adopting a rather unique naming scheme for its Tesla Model S rival, particularly for the vehicle’s top trim.
Following is an excerpt from Porsche’s message to the journalist.
“I am following up on your inquiry on the upcoming Porsche Taycan. We are expecting to see the new model in about one year from now. Porsche is going to build three models — the Taycan, the Taycan 4S, and (the) Taycan Turbo. Pricing will start in the low $90,000 for the Taycan, high $90,000 for the 4S, and over $130,000 for the Turbo before options.”
Immediately noticeable is Porsche’s use of the word “Turbo” to denote the high-performance version of the Taycan. Such a naming scheme is a bit unusual for an electric car, considering that the vehicle would not have a turbo per se. That said, Roy noted in an article on The Drive that Porsche does tend to use the “Turbo” brand as a means to distinguish a halo vehicle from other cars in its lineup.
Thus, as unusual as it might be, calling the top-tier electric car the Taycan Turbo might actually be a very strategic move for the German legacy carmaker. After all, using familiar terminology on the electric car could help the company’s dedicated fanbase be more open to Porsche’s transition towards electrified mobility. Apart from this, using the “Turbo” designation for the Taycan’s top trim also gives the impression that the vehicle is a flagship car — one that the company intends to support for years to come.
Pricing-wise, the Taycan appears to be starting at a price above the entry-level Tesla Model S 75D. If the information provided by the Porsche Global Brand Ambassador proves accurate, the entry-level Taycan will start roughly $12,000 more than the entry-level Model S, which starts at $78,000. The midrange Taycan 4S, though, appears to be directly aimed at the Model S 100D, which starts at $96,000 before incentives.
Quite interestingly, the Taycan Turbo’s $130,000 starting price actually undercuts the Model S P100D’s current $135,000 starting price. That said, if the specs that Porsche announced for the vehicle — such as a 0-60 mph time of 3.5 seconds, a top speed of 155 mph, and a range of 310 miles per charge — are true for the Taycan Turbo, the vehicle would be slower off the line and have a slightly shorter range than Tesla’s flagship performance sedan. This would make the Taycan Turbo’s specs, down to its proficiency on the track, more comparable to the Model 3 Performance, which starts at a far more affordable price of $64,000.
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
