News
Tesla Model 3 Performance endures 31 hard launches with no throttling
The Tesla Model 3 could be considered as the electric car maker’s endurance champion in its current lineup. Not quite as quick as a Model S or Model X Performance in Ludicrous Plus Mode but capable of being driven hard for extended periods in a racetrack, the Model 3 Performance is a vehicle that has charmed even the staunchest gearheads of motoring media. Top Gear host Chris Harris, for one, described the Model 3 Performance as an “AK-47 disguised as a butter knife” during his review of the vehicle, which he found to be too plain in design compared to comparable ICE cars like the BMW M3. It should be noted that after his review, Harris noted on Twitter that he will be buying a Model 3 Performance for himself soon.
The Model 3’s endurance, both on the track and the highway, has been tested and proven by professionals and enthusiasts alike. Tesla and electric vehicle veteran Bjorn Nyland tested the Model 3 in the Autobahn last June, going flat at full speed in an attempt to overheat the car. He failed. The same is true for other reviewers such as Harris, who pitted the Model 3 Performance against the BMW M3-beating Alfa Romeo Giulia Quadrifoglio in a time attack battle. True to Elon Musk’s statements on Twitter, the Model 3 Performance, thanks to its instant torque that allows the vehicle to launch from 0-60 mph in 3.2 seconds, soundly beat the Giulia Q4 in a closed circuit.
Last week, Porsche made headlines when the company allowed Fifth Gear and Fully Charged host Jonny Smith to take one of its Taycan Turbo pre-production vehicles for a launch mode repeatability test. Conducted on an empty airfield, the test involved the EV veteran launching the Taycan Turbo at max power 26 times with no power throttling. The exhibition was impressive, and it invoked just how much work Porsche has put into the Taycan and its development. The Taycan’s feat also brought comparisons to Tesla’s Model S P100D, which was quicker off the line with its 0-60 mph time of 2.4 seconds, but is prone to limiting its power after multiple max power launches.
After watching the Taycan’s demonstration, Tesla owner Patrick Lawson opted to see if his vehicle, a Tesla Model 3 Performance, could accomplish multiple max power launches without losing power as well. Accompanied by his son, Lawson headed to a (mostly) empty stretch of road to test the endurance of his Model 3. In a message to Teslarati, the Tesla owner noted that with Track Mode on, he figured that his vehicle should be able to perform comparably to the Taycan.
By the 10th 0-60 mph test, Lawson noted that he was already feeling the effects of the Model 3’s multiple hard launches. The father and son duo continued over the next 30 minutes, hitting 31 consecutive launches in the Model 3. At that point, Lawson noted that his son was probably good for about 10 more launches, but that was about all he could handle. Interestingly, the Model 3 Performance, just like the Porsche Taycan Turbo, did not throttle its power at all. The 31st launch registered a 0-60 mph time of 3.11 seconds, which is in the same territory as the Taycan Turbo.
Granted, Lawson’s test did not involve the same parameters as Fully Charged’s test of Porsche’s all-electric car. The Taycan Turbo, for one, performed 26 runs that topped up at speeds of 200 kph (124 mph), while Lawson’s Model 3 Performance test only involved 31 0-60/0-70 mph runs. Nevertheless, it should be noted that the Tesla owner’s tests were conducted on a public road in the United States, which usually have speed limits of around 60-70 mph.
The Tesla Model 3 could be considered, in more ways than one, as a Trojan Horse of sorts. While the vehicle is considered as the “cheaper” Tesla (and this is accurate, of course), and while the vehicle experienced a notable period of anti-selling by the company, the electric car has been showing signs that there is more to it than meets the eye. With track capability and a price point that is notably more affordable than other premium EVs in the market, the Model 3 will likely be the vehicle that ultimately brings electric cars into the mainstream.
Watch Partick Lawson and his son’s Tesla Model 3 Performance 31-launch endurance test in the video below.
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
