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Tesla Model S P100D still king, but Elon Musk dubs Model 3 Performance as ‘higher value for money’
Tesla continues to actively promote the Model 3 to customers, with CEO Elon Musk recently stating that the Model 3 Performance is “higher value for money” compared to the company’s top-tier vehicle — the Model S P100D.
Musk’s latest push for the Model 3 Performance came as a response to a Model S P85D owner, who inquired if it is worth trading in his larger vehicle to the smaller but seemingly more nimble Model 3 Performance. For the first time since the Model 3’s launch, Musk compared the car favorably against the Model S P100D, at least when it comes to value for money.
Model S P100D is def still the top end, but Model 3 Performance is higher value for money
— Elon Musk (@elonmusk) August 5, 2018
In a lot of ways, Elon Musk’s statement does ring true. After all, the difference between a fully loaded Model S P100D and a fully-optioned Model 3 Performance is substantial. In Tesla’s design page, the Model S P100D is listed with an estimated cost of $135,200 with all options included. The Model 3 Performance, on the other hand, costs $80,000 fully-loaded. That’s a difference of roughly $55,000 — just slightly above the cost of a non-performance Tesla Model 3 Dual Motor AWD before any options.
This is not to say that Tesla is dissuading customers from purchasing the Model S P100D, of course. As mentioned by Musk in his tweet, the P100D is still the top end of Tesla’s offerings. With its gut-wrenching 0-60 mph time of 2.28 seconds with Ludicrous Mode, it is far quicker than the Model 3 Performance, which has a 0-60 mph time of 3.5 seconds. Nevertheless, the Model S P100D is known for severely throttling its performance when driven hard around the track — an issue that is not present in the Model 3 Performance, thanks to a clever battery and electric motor cooling system. The Model 3’s electric motors and battery use cooling circuits that are independent but linked. In the event that one component heats up, the system shifts cooling capacity where it’s needed. The system can also use the battery as a heat sink to shed excess thermal load from the motors.
Elon Musk’s latest tweet about the Model 3 Performance says a lot about the company’s strategy in the coming quarters. In the recently-held Q2 2018 earnings call, Musk and Tesla’s executives stood firm on their target of making the company profitable in the third quarter. Musk mentioned this in the call, when he linked the company’s profitability target to the Model 3 ramp.
“At a production rate of 7,000 cars a week, we believe we can be sustainably profitable from Q3 onwards. We’re going to try to raise that rate of the Model 3 production steadily in the coming quarters and try to get to the 10,000 cars a week number as soon as we can. I feel comfortable achieving a GAAP income positive and cash flow positive quarter every quarter from here on out,” Musk said.
So why the Model 3 Performance? Tesla likely makes a good amount of profit from the Model S P100D, but the full-sized sedan’s production has pretty much plateaued over the years. The Model 3 ramp, on the other hand, is still ongoing, and is expected to rise significantly in the coming quarters. Tesla is aiming to hit a gross margin of 25% for the Model 3, and with the vehicle’s production estimated to hit 10,000/week sometime next year, Tesla appears to have a solid shot at making its sustained profitability goals a reality.
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
