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Tesla Model S vs. Lucid Air: comparison of range, performance and price

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Photo credit: New Car via YouTube

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.

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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.

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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?

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Lucid is a serious contender.

Here’s Teslanomics’ comparison of the Tesla Model S vs. Lucid Air. What are your thoughts?

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Tesla Hardware 3 owners could be made whole this month

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Credit: Tesla Asia/Twitter

Tesla Hardware 3 owners are set to get a new Full Self-Driving version this month as the company plans to release what it is referring to as v14 Lite.

The rollout is not yet confirmed for June, but Tesla executives have stated on several occasions that this more refined FSD iteration will work with their cars and increase its capabilities.

This comes after Tesla admitted during its last Earnings Call that these Hardware 3 vehicles would not be able to achieve Full Self-Driving, something that they did not know when they bought these cars. We regularly receive messages from Hardware 3 owners asking when v14 Lite will come out, what they should expect, and whether it is worth it to upgrade the self-driving computer or buy a new car altogether.

It is hard not to feel for them; Tesla CEO Elon Musk said at the company’s 2019 Autonomy Day that all vehicles produced at the time, including Hardware 3 cars, had “all the hardware necessary, compute and otherwise, for Full Self-Driving.”

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Musk also said in March of that year that, “Anyone who purchased Full Self-Driving will get FSD computer upgrade for free.”

However, during the Q1 2026 Earnings Call, Musk admitted that Hardware 3 vehicles would not be capable of FSD, as “It has only 1/8th the memory bandwidth of Hardware 4, and memory bandwidth is one of the key elements needed for unsupervised FSD.”

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Tesla has made some effort to remedy these Hardware 3 owners by offering:

  • Discounted trade-ins toward AI4 cars
  • Hardware retrofits, which would replace the self-driving computer and upgrade all cameras
  • Full Self-Driving v14 Lite

The issue is that many of these owners were led to believe their cars would be capable of unsupervised self-driving. Now, they’re left scrambling for options, and while there are several, they will all require more money out of their pockets.

Expectations for Tesla v14 Lite for Hardware 3 Owners

The big differences between the AI4 v14 and v14 Lite for Hardware 3 owners will stem primarily from hardware constraints. Tesla developed v14 Lite with an optimized frame of mind; the v14 neural nets are toned down to run on an HW3 computer.

Tesla v14 will use the same behavior, but its limits will be hardware-related, especially given that the cameras on HW3 vehicles are lower-resolution.

Tesla reveals its plans for Hardware 3 owners who are eager for updates

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This will result in potentially more edge cases due to the lower quality perception and less long-range detection, but reaction time and overall confidence should be more refined.

There should also be a handful of additional features that are available on AI4 cars, such as:

  • Starting Full Self-Driving from Park
  • Auto Shift
  • Streaks
  • Speed Profiles
  • Improved Dynamics, like Pulling Over for Emergency Vehicles

Tesla plans to release v14 Lite this month, but we are all familiar with how the company can be with timelines. Additionally, if v14 Lite has not proven to be ready for a wide release, Tesla will slam the brakes on the rollout.

We would anticipate that Tesla is testing v14 Lite internally, and likely has been for several months.

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SpaceXAI just launched into your kitchen with their new app

SpaceXAI just powered its first consumer app and it predicts what you want to buy.

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SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.

Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.

Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.


Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.

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Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”

Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO

The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.

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Tesla adds new Supercharger feature for a better idea of what to expect

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Credit: Tesla

Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.

This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.

The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.

Tesla supplements Holiday Update by sneaking in new Full Self-Driving version

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Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.

Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:

This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.

Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.

Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.

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Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.

In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.

As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.

With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.

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