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Cadillac Lyriq vs Ford Mach-E vs Tesla Model Y: Features, price, and tech comparison
GM has entered the premium all-electric crossover SUV market, and its flagship vehicle is the rather eye-catching Cadillac Lyriq. Poised to hit the roads in the first half of 2022, the Lyriq will be entering an market already saturated by formidable opponents like the Ford Mustang Mach-E and the best-selling Tesla Model Y.
With the competiton in the EV SUV market in mind, it’s important to know how the Cadillac Lyriq stacks up against two of the strongest entries in the premium all-electric crossover segment today. Below is a comparison of the Cadillac Lyriq, the Ford Mustang Mach-E (both in SR and ER variants), and the Tesla Model Y Long Range Dual Motor AWD.
Size and Weight
The Cadillac Lyriq is quite a hefty vehicle, dwarfing the Mach-E and the Model Y with its 196.7-inch length, 77.8-inch width, and a 121.8-inch wheelbase. In comparison, the Mach-E has a length of 186.0 inches, and width of 74.0 inches, and a wheelbase of 117.0 inches. The Model Y has a length of 187.0 inches, a width of 75.6 inches, and a wheelbase of 113.8 inches. The Lyriq is precisely the same height as the Model Y at 63.9 inches, making it taller than the Mach-E, which has a height of 63.0 inches.
All this size translates to the Cadillac Lyriq’s curb weight, which also stands far above the Mach-E and the Model Y. The Lyriq has some serious heft at 5,610 pounds, while the Mach-E and Model Y are far lighter at 4,394-4,890 pounds for the Ford and 4,416 pounds for the Tesla.
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Interior Dimensions and Cargo Space
While the Cadillac Lyriq is significantly larger than the Mustang Mach-E and the Model Y outside, it is comparable to its two rivals when it comes to the interior. While it edges out its rivals in legroom, shoulder room, and hip room, in terms of headroom, the Lyriq is actually behind its competitors, with 38.6 inches in the front and 37.7 inches at the rear. Despite being smaller physically, the Mach-E features a front headroom of 40.4 inches and rear headroom of 39.3 inches. The Model Y has significantly more headroom than the Lyriq as well, with 41.0 inches at the front and 39.4 inches at the rear.
This trend continues all the way to the Lyriq’s cargo space when its second-row seats are folded down. With this setup, the Lyriq boasts 60.8 cubic feet of cargo space, which is slightly higher than the Mach-E’s 59.7 cubic feet, but significantly behind the Model Y, which offers a whopping 68 cubic feet of cargo space with the second-row seats folded down.
Battery and Estimated Range
The Cadillac Lyriq features a large 100 kWh battery, which GM notes should provide the all-electric SUV with about 300 miles of range. The Mustang Mach-E offers two battery sizes: a 75.7 kWh standard range unit that gives drivers about 211 miles of range and a 98.8 kWh extended range battery that provides 300 miles of range. The Model Y taps into Tesla’s vast experience as an all-electric car maker by drawing out 326 miles of EPA-rated range with a 75 kWh battery pack.
Performance and 0-60 Times
GM noted that the Lyriq’s electric motor produces 340 hp and 325 lb-ft of torque. GM’s estimates might seem conservative when compared to the Mach E, which produces 346 hp and 428 lb-ft of torque in its ER AWD version, and the Model Y Long Range, which has 384 hp and 376 lb-ft of torque. GM is also yet to release the 0-60 mph figures for the Lyriq, though Roadshow estimates that the vehicle, thanks to its large size and lower power, would likely be significantly slower than both the Mach-E Extended Range AWD and the Model Y Long Range, which boast a 5.5-second and 4.8-second 0-60 mph time, respectively.
Driver-Assist Technologies
GM’s brochure for the Lyriq notes that the all-electric SUV is equipped with the company’s award-winning Super Cruise, “the first truly hands-free driver assistance feature for compatible roads.” Super Cruise is impressive, though it only works on pre-mapped roads, and it requires users to have an active Cadillac Connected Services plan. Super Cruise-equipped vehicles like the Lyriq include 3 years of connectivity to support functionality, after which a Connected Services Plan must be purchased.
Ford, for its part, has recently announced its BlueCruise, a Level 2 driver-assist technology that also, in the carmaker’s words, offers a “true hands-free driving experience while in Hands-Free Mode that does not require a driver’s hands to stay in contact with the steering wheel, unless prompted by vehicle alerts.” Mach-E customers would be able to purchase BlueCruise software, including a three-year service period, for $600 in the second half of 2021, when the service is expected to launch.
Last but not least, the Tesla Model Y is equipped with basic Autopilot for free, though customers could opt-in for the carmaker’s Full Self-Driving suite for a $10,000 charge. Basic Autopilot includes key functions like Traffic-Aware Cruise Control and Autosteer, while FSD includes advanced features like Navigate on Autopilot with Auto Lane Change, Autopark, Summon, and Traffic Light and Stop Sign Control. Unlike Ford and GM, however, Tesla’s Autopilot and FSD suite are, in their current iteration, not hands-free.
Price
The Cadillac Lyriq stays true to its brand, starting at $59,990. That’s far more expensive than the Mustang Mach-E, which starts at a more modest $43,995. The Tesla Model Y Long Range slots right in the middle of the Lyriq and Mach-E, with its current starting price of $51,690 including destination charges.
Check out the Cadillac Lyriq’s brochure below.
My23 Lyriq PDF Brochure v14 Final by Maria Merano on Scribd
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Tesla FSD v14.2.2 is getting rave reviews from drivers
So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Tesla Full Self-Driving (Supervised) v14.2.2 is receiving positive reviews from owners, with several drivers praising the build’s lack of hesitation during lane changes and its smoother decision-making, among others.
The update, which started rolling out on Monday, also adds features like dynamic arrival pin adjustment. So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Owners highlight major improvements
Longtime Tesla owner and FSD user @BLKMDL3 shared a detailed 10-hour impression of FSD v14.2.2, noting that the system exhibited “zero lane change hesitation” and “extremely refined” lane choices. He praised Mad Max mode’s performance, stellar parking in locations including ticket dispensers, and impressive canyon runs even in dark conditions.
Fellow FSD user Dan Burkland reported an hour of FSD v14.2.2’s nighttime driving with “zero hesitations” and “buttery smooth” confidence reminiscent of Robotaxi rides in areas such as Austin, Texas. Veteran FSD user Whole Mars Catalog also demonstrated voice navigation via Grok, while Tesla owner Devin Olsen completed a nearly two-hour drive with FSD v14.2.2 in heavy traffic and rain with strong performance.
Closer to unsupervised
FSD has been receiving rave reviews, even from Tesla’s competitors. Xpeng CEO He Xiaopeng, for one, offered fresh praise for FSD v14.2 after visiting Silicon Valley. Following extended test drives of Tesla vehicles running the latest FSD software, He stated that the system has made major strides, reinforcing his view that Tesla’s approach to autonomy is indeed the proper path towards autonomy.
According to He, Tesla’s FSD has evolved from a smooth Level 2 advanced driver assistance system into what he described as a “near-Level 4” experience in terms of capabilities. While acknowledging that areas of improvement are still present, the Xpeng CEO stated that FSD’s current iteration significantly surpasses last year’s capabilities. He also reiterated his belief that Tesla’s strategy of using the same autonomous software and hardware architecture across private vehicles and robotaxis is the right long-term approach, as it would allow users to bypass intermediate autonomy stages and move closer to Level 4 functionality.
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Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.
The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil.
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.
xAI Integration
As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.
“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release.
Strategic advantages
The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.
“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.
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Tesla FSD (Supervised) v14.2.2 starts rolling out
The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Key FSD v14.2.2 improvements
As noted by Not a Tesla App, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures. New Arrival Options let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.
Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.
FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.
Key FSD v14.2.2 release notes
Full Self-Driving (Supervised) v14.2.2 includes:
- Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
- Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
- Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
- Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
- Camera visibility can lead to increased attention monitoring sensitivity.
Upcoming Improvements:
- Overall smoothness and sentience.
- Parking spot selection and parking quality.
Tesla FSD v14.2.2 is getting rave reviews from drivers
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
