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Ford’s Mustang Mach E is a valuable Tesla Model Y ally in the crossover segment
With Ford’s release of the Mustang Mach E all-electric crossover, it seems like Tesla is not alone anymore in its efforts at transitioning the mainstream auto market towards sustainability. The Mach E’s combination of price, performance, and range, not only makes it a legitimate and honest effort on Ford’s part, but it also makes the EV a serious threat to mainstream crossover SUVs.
The Ford Mustang Mach E is an all-electric vehicle that will place it in the same segment as the upcoming Tesla Model Y. The two vehicles are priced in pretty much the same ballpark, with the Mach E’s standard range RWD version starting at around $43,900 in comparison to the Standard Range RWD Model Y’s $39,000. That’s a $4,900 difference, but Ford still has the full $7,500 tax credit, which makes the Mach E actually less expensive than the Model Y.
Looking at the price and performance figures of the Mustang Mach E, it is evident that the vehicle is meant to be competitive. The entry-level “Select” variant, for one, will be offered at both RWD and AWD versions, and both will be equipped with a 75.7kWh “standard range” battery pack. The RWD variant will have a range of 230 miles and a 0-60 mph time of about 6-7 seconds, while the AWD version will have a range of 210 miles and be about a second quicker from 0-60. The Mach E Select variants will be shipping in Spring 2021.
Following the Select variants is the “Premium” trim, which starts at $50,600 and ships late 2020, just a few months later than the Model Y’s estimated Summer 2020 release. Premium Mach Es can be equipped with either a standard range pack or an extended range battery, and RWD or AWD. With this, a Premium Mach E could have a range anywhere between 210 miles per charge for the standard range AWD trim, all the way to 300 miles per charge for the extended range with RWD. AWD versions of the Mach E Premium trim can hit 60 mph in the over 5 seconds, while the RWD versions will hit highway speeds in the mid-6s.
While this may seem like a lot of options already, there is still more. The “California Route 1” Mustang Mach E will be arriving in early 2021 for $52,400. This configuration is designed for long travel. As such, it is equipped with an extended range battery pack and 300 miles of range. A “First Edition” Mach E will also be offered in late 2020 with AWD and an extended range battery pack, which gives the vehicle 270 miles of range per charge. Finally, there’s the range-topping Mach E GT, which starts at $60,500, feature AWD, bigger motors, 235 miles of range, and a 0-60 mph time in the mid-3s.
While comparisons to the Model Y will be unavoidable, it should be noted that the Ford Mustang Mach E is every bit more of a traditional crossover rival than it is a competitor for Tesla’s seven-seater. Both vehicles are aimed at the crossover SUV segment, after all, and that is a market that is so vast right now, it is practically impossible for a single automaker to dominate on its own. There is no question that the Model Y will sell in larger numbers than any of Tesla’s other cars — Elon Musk has said as much. But there is also no question that the Mach E, provided that Ford dealers do not nip the market’s enthusiasm in the bud, will be a huge success as well.
This is something that Tesla CEO Elon Musk highlighted in a tweet following Ford’s reveal of the Mach E. While the American automaker was mum about Tesla’s contribution to electric vehicle design and innovation, Musk nevertheless credited the carmaker for its efforts at bringing about sustainable transportation. Ford, at least in its response to Musk, seemed eager to be on board the EV transition.
And this is really the crux of the matter. The Mach E, at least specs-wise, is a serious electric car that is designed for serious users. Its Mustang name may be debated for years to come, but there is little doubt that Ford put a lot of effort into its all-electric crossover, and the results of these are far beyond that of any other legacy automaker so far. It could even be said that with the Mach E in the picture, more expensive, similar-sized all-electric EVs from other veteran automakers such as the Jaguar I-PACE are in for some tough competition. Companies with all-electric cars that are under-utilized and under-promoted like GM and its Chevy Bolt are also at risk of being considered as the final compliance cars of a bygone era.
Ford has played its hand, and it did so with a strong statement in support of all-electric vehicles. With the Mach E, Tesla is no longer alone in the electric assault on the crossover segment. The question now is, will other automakers follow suit with similarly priced and specced vehicles? The next few years will definitely be very interesting.
More information about the Ford Mustang Mach E could be accessed here.
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
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:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
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.
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.
Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.
The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:
“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”
However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.
I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.
The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.
Hurry Mode Results
On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:
Roughly :31 between first touching the center screen and getting the first nag
— TESLARATI (@Teslarati) June 3, 2026
Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.
Here’s an 80-second phone nag test on Tesla FSD v14.3.3.
No alerts, no nagging, no annoyance. https://t.co/1dxvTOw5Cn pic.twitter.com/vYViFpjfoK— TESLARATI (@Teslarati) May 29, 2026
Mad Max Results
I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.
With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nags on Mad Max https://t.co/qZALU2OujY pic.twitter.com/XddOJ0D47x
— TESLARATI (@Teslarati) June 3, 2026
As well as adjusting Navigation, when I received two nags:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nag while adjusting navigation
Two nags here https://t.co/qZALU2OujY pic.twitter.com/xa3dtaDG1L— TESLARATI (@Teslarati) June 3, 2026
These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.
These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.
You can watch the full drive on YouTube below:
Tesla has responded to the skeptics of its Robotaxi program by launching a massive expansion of the unsupervised program in its initial rollout city of Austin.
The company’s geofence, the enabled area of operation for rides, now covers the entire Austin Metropolitan area, an incredible move just days after media headlines attempted to discredit the ride-hailing service.
Those who have access to the Tesla Robotaxi app on their smartphones can now request a ride in any portion of the Austin Metro area. The company confirmed this on the social media platform X:
Unsupervised Robotaxi now in the entire Austin Metro area https://t.co/eXNBdarvVS
— Tesla Robotaxi (@robotaxi) June 3, 2026
This is Tesla’s fifth expansion of the geofence, with the others occurring in July, early August, late August, and late October 2025. It has remained at that size since October 26, but Tesla has now more than doubled that size.
It is now covering the entire area, including suburbs like Pflugerville and Manor, as well as I-35 highways, Gigafactory Texas, and the Austin-Bergstrom Airport.
The move comes just days after various media outlets highlighted the small fleet size of Tesla’s Robotaxi fleet in Austin, something that is a reasonable criticism but an understandable move on the company’s part to prioritize safety.
Tesla has expanded its Robotaxi geofence many times, but its fleet has remained at a relatively conservative size as the company continues to push safety as its most crucial metric.
The latest expansion is a key indicator of Tesla’s comfort level to expand the ride-hailing service. The move shows Tesla is scaling unsupervised autonomy, as it demonstrates that the company’s Full Self-Driving system has reached sufficient reliability for a broader real-world deployment, which is something the company has worked on extensively.
It also shows Tesla is game for a competition with its rivals in the autonomous ride-hailing sector. Tesla has often matched or exceeded competitors like Waymo in coverage area, despite its smaller fleet. This step highlights Tesla’s iterative, data-driven progress toward a high-margin, app-based Robotaxi network.
It’s not the absolute largest area expansion ever, but achieving full unsupervised operations across a major metro is a key moment in the Robotaxi story. It shifts the program from limited pilot/testing toward a more mature commercial service, while gathering the miles needed for faster growth.
Tesla piggybacks recent Supercharger feature with update that takes it further
Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it
