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First Tesla Model 3 Performance VBOX test yields 0-60 mph in 3.32 seconds

[Credit: My Tesla Adventure/Instagram]

Published

8 years ago

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The Tesla Model 3 Performance is intended to be a vehicle that is quick off the line and balanced enough to endure extended track driving.

Videos of the Model 3 Performance doing acceleration runs began to emerge online almost immediately after the company began to offer test drives in select showrooms across the US. A Model 3 Performance test drive unit from Tesla’s Costa Mesa Sales & Delivery Center in Orange County, CA was filmed doing a 0-60 mph run in 4 seconds flat while carrying four adults. More recently, Tesla owner-enthusiast Erik Strait, better known as the host of YouTube’s DÆrik channel, also shared a video showcasing the Model 3 Performance’s 0-60 mph acceleration. 

Tesla enthusiast Eli of My Tesla Adventure was able to get behind the wheel of a fully stock Model 3 Performance earlier this week. Eli noted that he was able to use his VBOX, a device that measures a vehicle’s acceleration, speed, and overall stats during a specific run, when he took the Model 3 Performance for a spin. While a video is unavailable as per the electric car owner’s request, the YouTube host was able to share the data gathered by his VBOX in social media. Following are screenshots from the My Tesla Adventure host’s VBOX app on his smartphone.

The Model 3 Performance’s VBOX data during a 0-60 mph run. [Credit: My Tesla Adventure/Instagram]

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As could be seen in the Model 3 Performance’s VBOX data, the electric car was able to hit the 60 mph mark in 3.32 seconds, the speed mentioned by Elon Musk when he tweeted about the vehicle’s optimum performance. According to Musk, the electric car’s 20″ Performance Wheels and Michelin Pilot Sport 4S summer tires are balanced for speed and range. Musk suggested that thicker and stickier tires at the rear of the Model 3 Performance should help the vehicle lower its 0-60 mph time to 3.3 seconds. If the recent VBOX data is any indication, however, it seems like a 3.3-second 0-60 mph run is already possible even if the vehicle is completely stock.

Tesla tends to underrate its electric cars’ performance figures. When the Long Range RWD Model 3 started making its way to reservation holders, racing enthusiasts such as Brooks of DragTimes were able to get 0-60 times in the 4.5-second range, far quicker than Tesla’s listed 0-60 time of 5.1 seconds for the vehicle. Over the past few months, however, it appears like Tesla has adjusted the Long Range RWD Model 3’s acceleration, with the sedan’s 0-60 mph performance now being more consistent to Tesla’s 5.1-second estimate. In a recent update on the r/TeslaMotors subreddit, Model 3 Dual Motor AWD owner u/Cynapse noted that his electric car showed a 0-60 mph time of 4.33 seconds with 18″ Aero Wheels. Tesla’s specs for the vehicle list a 0-60 mph time of 4.5 seconds.

During Tesla’s Q2 2018 earnings call, Tesla worldwide head of sales Robin Ren stated that orders for the Model 3 Performance and the Dual Motor AWD have been encouraging, and interest for the vehicle even among non-reservation holders remain high. With Tesla now delivering the Model 3 Performance and Dual Motor AWD to customers, it would only be a matter of time before the electric cars are analyzed by VBOX data on the track. 

For now, here is a video of a Tesla Model 3 Performance doing a 0-60 mph run on a freeway as measured by Dragy, another performance-measuring device. The electric car, whose battery was at the low 80s during the run, was equipped with Tesla’s stock 18″ wheel package with Aero hubcaps off.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla piggybacks recent Supercharger feature with update that takes it further

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4 hours ago

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June 3, 2026

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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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Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it

Published

5 hours ago

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June 3, 2026

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Credit: TESLARATI

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.

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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:

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.

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:

As well as adjusting Navigation, when I received two nags:

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:

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Tesla responds to Robotaxi skeptics with a massive move in Austin

Published

7 hours ago

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June 3, 2026

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Credit: @AdanGuajardo/X

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:

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.

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Tesla expands Robotaxi geofence, but not the garage

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.

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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.

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