News
Tesla Model S vs. Lucid Air: comparison of range, performance and price
Silicon Valley-based electric car startup Lucid Motors continues to make a name for itself as a real contender to Tesla, having recently debuted its long range Lucid Air ultra-luxury sedan across a series of meet-and-greet and test ride events in Southern California. Renowned tech reviewer MKBHD billed the Air as possibly being the Future of Luxury. But how does Lucid’s “private jet on wheels” stack up against Tesla’s Model S?
Ben Sullins of YouTube channel Telsanomics takes a deep dive into known published stats for each vehicle, and compares the two on range, performance, price, technology, and interior trim.
First, a disclaimer. Ben’s video was made before Tesla announced that the Model S 60 would no longer be available after April 17. Ben notes in the video description “In this video, I look at how this new base model Lucid Air stacks up against a Tesla Model S 60. Of course, since recording this Tesla has announced they no longer will be offering the 60 but the comparison is still relevant considering the primary variable is the range of the Model S.”
Range, Performance and Price
The base Lucid Air will offer 240 miles of range, rear wheel drive and have 400 horsepower through a single electric motor. Tesla’s base Model S 60 is rated at 210 miles of range with 320 horsepower, and also rear wheel drive.
Both vehicles will also be comparable in price. Lucid says its base model will start at $52,500 after deducting the $7,500 federal tax credit. By comparison, Tesla’s Model S 60 will be priced at $53,700 before incentives. If we are to factor in Tesla’s soon-to-be base Model S 75 into the equation, the price difference increases to a more dramatic $14,500.
Technology
The Lucid Air has 3 touch screens within the driver’s line of sight. The one located in the center of the car that displays less critical information can retracted into the dashboard when not in use. The other two flank the central instrument panel. There is another touchscreen available for rear seat passengers to adjust heating and cooling as well as sound system settings.
Both the Model S and the Lucid Air will be equipped with hardware that can facilitate fully autonomous driving. Feature updates will come via over-the-air software updates.
Interior
As pointed out by MKBHD in his review video of Lucid Air, the interior appointments of Lucid’s vehicle appear to be aimed more toward the luxury car buyer than those in the Model S. Some Tesla buyers who have purchased a Model S have critiqued Tesla for not matching their expectations when it comes to the quality of the interior materials used. MKBHD commented that the Lucid Air interior seems to have higher quality interior appointments, at least to his eye.
One thing that has impressed those who have ridden in the Lucid Air is the expansive front windshield. Like the Model X, it flows back over the heads of front seat passengers in one unbroken sweep of glass. In fact, the Air name was suggested by the light, airy feel created by all that glass. But that enormous front windshield will not be available on the entry level Air. The company says it will have an aluminum roof, 19″ wheels, and a 10-speaker audio system.
Availability
Tesla Model S and Lucid Air match up quite closely in terms of power, performance, and technology. Tesla CEO Elon Musk is always encouraging other manufacturers to build “compelling electric cars” and Lucid Motors is poised to be that manufacturer that has truly stepped up to the challenge.
Lucid, for the moment, has big plans. The company has identified a site for its factory in Casa Grande, Arizona and aiming for production beginning in late 2018 to early 2019.
Though Tesla has a 5-year head start on the buildout of its factory, distribution channel and charging network, is that enough to hold back Lucid from becoming a major force in the premium electric vehicle market? One that’s had time to learn, adapt and move arguably more efficiently than Tesla?
Lucid is a serious contender.
Here’s Teslanomics’ comparison of the Tesla Model S vs. Lucid Air. What are your thoughts?
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.”
News
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
