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Lucid Air Pure, Air Touring debut with landmark drag coefficient for production cars
The Lucid Air Pure and Air Touring just debuted. Along with their launches, Lucid also announced a landmark drag coefficient for all Air models.
“Performance. Range. Luxury. Technology. Design. It’s all here in the newly expanded Lucid Air model lineup as Air Pure and Air Touring – with their remarkably spacious interiors – take their place alongside Air Grand Touring, Grand Touring Performance, and the recently announced Air Sapphire,” said Lucid Group CEO and CTO Peter Rawlinson.
“Air Touring matches the landmark 4.6 miles per kWh efficiency of the Grand Touring – albeit at a more affordable price point – an important incremental step to making ultra-efficient EVs more attainable,” he added.
Drag Coefficient of Lucid Air Models
During Lucid Air Pure and Air Touring development, the EV automaker improved the drag coefficient (Cd) of all Air models. Last November, the Lucid Air impressed with a drag coefficient of .200. For comparison, the Tesla Model S Plaid has a drag coefficient of .208.
This year, Lucid topped itself by dropping the drag coefficient of all Air models down to .197. The company emphasized that the new drag coefficient of its Air models makes the lineup the most aerodynamically efficient production cars on the market.
The Lucid Air Pure Debut
On November 15, the Lucid Air Pure debuted. It comes in two configurations: the Dual-Motor, All-Wheel-Drive (AWD) Air Pure and the single-motor, Rear-Wheel-Drive version. The Dual-Motor AWD Air Pure delivers up to 480 horsepower.
The Air Pure uses Lucid’s Long Range battery pack, made of 18 modules instead of the 22 modules that comprise the Extended Range battery pack. The Long Range battery pack’s fewer modules make the Air Pure more efficient on the road.
The AWD variant received an EPA-estimated range of 410 miles. The Air Pure comes standard with Lucid’s Wunderbox technology with high-speed charging rates that deliver up to 200 miles of additional range within 15 minutes.
Lucid plans to start producing Dual-Motor AWD Air Pure vehicles next month. Initial customer deliveries of Dual-Motor AWD Air Pure EVs are expected to begin before the end of the year. In 2023, Lucid plans to launch the single motor RWD Air Pure variants.
The Lucid Air Touring Debut
While all the Lucid Air models are impressive, the Air Touring offers the most impressive options for customers at an excellent price point.
“Lucid Air Touring offers more power, greater range, and faster charging than anything else in its category, with an extraordinary fusion of performance and interior space. It sits in the heart of the Lucid Air family and offers the most options and flexibility – allowing customers to create a version that precisely fits their needs,” noted the company.
The Lucid Air Touring launches with a Dual-Motor AWD powertrain, which delivers 620 horsepower. It can accelerate from 0-60 mph in 3.4 seconds.
The Air Touring is equipped with Lucid’s 18-module Long Range battery pack like the Air pure. With the Long Range battery Pack, the Air Touring has the highest driving efficiency of any Lucid Air vehicle to date at 4.62 miles per kilowatt hour. It has an EPA-estimated range of 425 miles.
Air Pure, Air Touring Prices
The Lucid Air Pure starts at $87,400 plus an additional $5,500 for the Dual-Motor AWD drivetrain. Air Pure purchases include the Lucid User Experience with Navigation, Lucid’s DreamDrive advanced driver assistance system, and complimentary charging at Electrify America stations.
The Dual-Motor AWD Lucid Air Touring starts at $107,400. Features included in the Air Touring are the Lucid User Experience with Navigation, and complimentary charging at Electrify America stations. Lucid’s DreamDrive will be available with the Air Touring by Q1 2023.
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Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
