Connect with us

News

Tesla Model S Plaid: Everything we know – performance, features, versions and more

Red Tesla Model S P100D+ spotted at the Nurburgring with rear diffuser (Photo: Teslarati)

Published

on

Elon Musk remarked during the recently-held third-quarter earnings call that Tesla is continuing the production of the Model S more for “sentimental reasons.” The vehicle, after all, is a niche product compared to the best-selling, reasonably-priced Model 3. Yet, the Model S remains Tesla’s flagship car, and it will remain so, if Musk’s statements are any indication. 

“The Model S literally won Motor Trend‘s best car ever in history by the way. It’s incredible, especially the new one with variable damping suspension, hospital operating room HEPA filter for air purification, the raven powertrain. It’s the fastest car in the world, and it’s just so easy to drive. It makes you feel like Superman driving that car. It’s incredibly safe. It’s just an amazing vehicle,” Musk said

The Model S is Tesla’s first car that it designed from the ground up, and thus, is already about seven years old. As such, it appears that the time is right for Tesla to look into updating the Model S for the Model 3 and Model Y era. 

Enter the “Plaid” Model S. The aggressively styled vehicles were brought to the Nurburgring seemingly as part of Tesla’s efforts at establishing its own record at the track, which just so happens to be the location where the Porsche Taycan — a car long expected to be a Model S rival — was tempered as it was refined for release. 

Red Tesla Model S P100D+ spotted at the Nurburgring with upgrade front spoiler (Photo: Teslarati)
Red Tesla Model S P100D+ spotted at the Nurburgring with upgraded front spoiler (Photo: Teslarati)

Based on images and videos of the Model S Plaid, the vehicle seems to be every bit of a monster as intended by the electric car maker. Here’s what you need to know about Tesla’s Model S with Plaid Powertrain. 

It will look slightly different

While the vehicles retain the classic general Model S look, Tesla’s Plaid prototypes in the Nurburgring today feature a widebody kit to accommodate wider tires. The vehicles are also optimized for track use, as could be seen in various aero improvements to the all-electric sedan. Among these are a larger front air intake, a front lip spoiler, large air vents behind the front wheels, a diffuser at the rear, and a new spoiler. 

Advertisement
-->

Being test units, it remains uncertain if the Plaid Model S production version will retain these aero enhancements. 

It will have three motors

Taking a page from the next-generation Tesla Roadster’s playbook, the Plaid Model S will have a three-motor configuration. Tesla has not announced details about this setup, though one can infer that it involves placing two motors at the rear and one motor at the front, just like the company’s upcoming all-electric supercar. 

It will be track-capable

The Model S, even at its P100D trim, was notoriously prone to throttling issues on the track. Not so with the Plaid version. The Plaid Model S is made to attack corners at incredibly high speeds and complete multiple laps around a track without losing performance. So far, comments from eyewitnesses at the Nurburging have remarked that the Plaid vehicles Tesla brought over are almost disturbingly fast, and even at their initial iterations, each vehicle was reportedly finishing five or six laps a day around the nearly 13-mile Nurburgring with optimum performance.

Blue Tesla Model S with Plaid Powertrain returns to the Nurburgring. (Credit: Teslarati)

It will likely have at least two trims

Tesla’s Plaid Powertrain appears to be a direct reference to the three electric motors in the vehicle. But it appears that the electric car maker will be releasing more than one variant of its tri-motor Model S. During its initial excursion to the Nurburging, it was reported that the blue Plaid Model S unit was able to complete a 7:40 lap, close to the results of the Taycan Turbo. The red Model S Plaid prototype, on the other hand, achieved a hand-stopped time of 7:23. 

This certainly seems to be an indication that the two prototypes correspond to different versions of the vehicle. It might be cliche or Elon Musk’s classic meme lord-worthy humor, but it appears that its red Plaid Model S is the faster of its two prototypes. This is quite interesting, as spy shots of the blue Plaid Model S seem to suggest that the car was stripped down, while the seemingly faster red Model S is attacking the track with all its door panels and extra seats. 

Its price will be expensive but cheaper than the Taycan Turbo

Elon Musk has noted on Twitter that the Plaid Model S will be priced higher than the Raven Performance version that is on sale today, though he also noted that the vehicle will cost “less than our competitors.” With this in mind, it appears that a Plaid Model S will start between the $100k-$150k range. This seems to be the case considering that Porsche priced its Taycan Turbo variant at just over $150k before options. 

Advertisement
-->

It will enter production in less than a year

Elon Musk has stated that the Tesla Model S Plaid units are set for production around Summer 2020, which is also around the same time that the company will start manufacturing the Model Y crossover. This is quite in line with previous leaks from the Fremont plant, which pointed to the electric car maker tooling the facility for the production of the Model Y and an updated Model S. 

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

Advertisement
Comments

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.” 

Published

on

Credit: @BLKMDL3/X

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. 

Advertisement
-->

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.”

Continue Reading

News

Tesla earns top honors at MotorTrend’s SDV Innovator Awards

MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

Published

on

Credit: Tesla China

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.

Advertisement
-->

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.

Continue Reading

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.

Published

on

Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

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.

Advertisement
-->

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.

Continue Reading