Today, a few hours before releasing their first quarter financial results, Tesla launched the highly anticipated Model 3 Performance. The new version starts at $45,490 (after applying the $7,500 Federal EV tax credit) and deliveries are scheduled to start in May.
With 510 horsepower and a top speed of 163 mph, the new Performance variant brings an improved sound system, a re-designed interior featuring more comfortable rear seats with some features coming directly from the recently revamped Model 3. Tesla also says that the new Performance model has “significantly less” road and wind noise thanks to the rear spoiler and changes to the front bumper.
“The front and rear fascias, rear diffuser and carbon fiber spoiler work together to help reduce drag and improve lift balance at high speeds”
Tesla’s most powerful Model 3 ever is now cheaper than the Model 3 Long Range after the federal tax credit. The Model 3 Performance model is the only Model 3 variant that is eligible for the government incentive.
Performance
The new Performance model comes with 20
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While the new Performance model is largely based on the recently revamped Model 3, while including design changes to the front and rear diffuser, as well as the addition of a rear spoiler. In terms of performance, the model announced today offers a 22% increase in continuous power, a 32% increase in peak power, and an additional 16% of peak torque. The Performance model now has 500 hp and includes a “performance” motor that’s unique to the Performance model.
0-60 mph in 2.9 510 hp / 741 Nm 163 mph top speed — Performance-tuned chassis Same quiet & comfortable cabin plus bespoke chassis hardware for improved stiffness and higher performance baseline.
The new Model 3 Performance is capable of going 0 to 60 in 2.9 seconds, 0.2 seconds faster than the previous incarnation. It didn’t take long for Tesla’s CEO Elon Musk to comment on X stating that the Model 3 Performance is “quicker than a Porsche 911.”
Specs of the new Tesla Model 3 Performance
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Track Mode V3
The new Model 3 Performance is equipped with an updated Track Mode, v3, that features an all-new calibration for the powertrain and adaptive suspension.
Tesla's Track Mode V3
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Range
The Model 3 Performance has an EPA range of 296 miles (476km) on a single charge, an increase of 10 miles (16km) when compared to the previous version while being slightly lower than the Long Range variant.
Rear Display
As seen in the revamped version of the Model 3, Tesla is also bringing the rear 8” touchscreen with climate controls, Bluetooth connectivity and entertainment for the rear passengers. With Tesla update 2024.14, Tesla is improving the rear screen by adding trip information, time and temperature information to the top of the display.
Exterior view of the new Tesla Model 3 Performance
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All-new Adaptive Suspension
According to Tesla, the new adaptive dampening system adjusts to driver and road input in real-time. While the new Model 3 already included suspension improvements over the previous generation, the Performance model takes it one step further.
New Seats
The new model includes the new Sport Seats that we’ve seen in spy shots before. Although the new model is officially named “Performance,” the sport seats feature the Ludicrous badge. The seats include improved side and cushion bolsters to help keep you in an ideal driving position
The new Sport seats feature the Ludicrous badge
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Deliveries
The model just went up for sale a few hours ago, but orders placed minutes after the launch show an estimated delivery of May/June 2024 in the United States. In Canada, where the Model 3 Performance starts at CA $69,990, the estimated delivery is currently slated for June/July.
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The map above compares Tesla's current geofence with their potential expansion in yellow.
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With Tesla’s first major expansion of the Robotaxi Geofence now complete and operational, they’ve been hard at work with validation in new locations - and some are quite the drive from the current Austin Geofence.
Validation fleet vehicles have been spotted operating in a wider perimeter around the city, from rural roads in the west end to the more complex area closer to the airport. Tesla mentioned during their earnings call that the Robotaxi has already completed 7,000 miles in Austin, and it will expand its area of operation to roughly 10 times what it is now. This lines up with the validation vehicles we’ve been tracking around Austin.
Based on the spread of the new sightings, the potential next geofence could cover a staggering 450 square miles - a tenfold increase from the current service area of roughly 42 square miles.
If Tesla decides to expand into these new areas, it would represent a tenfold increase over their current geofence, matching Tesla’s statement. The new area would cover approximately 10% of the 4,500-square-mile Austin metropolitan area. If Tesla can offer Robotaxi services in that entire area, it would prove they can tackle just about any city in the United States.
In the map below, the blue icons are sightings of Tesla validation vehicles, while the yellow map area represents their potential expansion. The map overlays Tesla’s phases 1 and 2 and compares them to Waymo’s first two phases. You can toggle each one by tapping the icon at the top left and choosing which geofences you’d like to view.
From Urban Core to Rural Roads
The locations of the validation vehicles show a clear intent to move beyond the initial urban and suburban core and prepare the Robotaxi service for a much wider range of uses.
In the west, validation fleet vehicles have been spotted as far as Marble Falls - a much more rural environment that features different road types, higher speed limits, and potentially different challenges.
In the south, Tesla has been expanding towards Kyle, which is part of the growing Austin-San Antonio suburban corridor spanning Highway 35. San Antonio is only 80 miles (roughly a 90-minute drive) away, and could easily become part of the existing Robotaxi area if Tesla obtains regulatory approval there.
In the East, we haven’t spotted any new validation vehicles. This is likely because Tesla’s validation vehicles originate from Giga Texas, which is located East of Austin. We won’t really know if Tesla is expanding in this direction until they start pushing past Giga Texas and toward Houston.
Finally, there have been some validation vehicles spotted just North of the new expanded boundaries, meaning that Tesla isn’t done in that direction either. This direction consists of the largest suburban areas of Austin, which have so far not been serviced by any form of autonomous vehicle.
Rapid Scaling
This new, widespread validation effort confirms what we already know. Tesla is pushing for an intensive period of public data gathering and system testing in a new area, right before conducting geofence expansions. The sheer scale of this new validation zone tells us that Tesla isn’t taking this slowly - the next step is going to be a great leap instead, and they essentially confirmed this during this Q&A session on the recent call. The goal is clearly to bring the entire Austin Metropolitan area into the Robotaxi Network.
While the previous expansion showed off just how Tesla can scale the network, this new phase of validation testing is a demonstration of just how fast they can validate and expand their network. The move to validate across rural, suburban, and urban areas simultaneously shows their confidence in these new Robotaxi FSD builds.
Eventually, all these improvements from Robotaxi will make their way to customer FSD builds sometime in Q3 2025, so there is a lot to look forward to.
For years, the progress of Tesla’s FSD has been measured by smoother turns, better lane centering, and more confident unprotected left turns. But as the system matures, a new, more subtle form of intelligence is emerging - one that shifts its attention to the human nuances of navigating roads. A new video posted to X shows the most recent FSD build, V13.2.9, demonstrating this in a remarkable real-world scenario.
Toll Booth Magic
In the video, a Model Y running FSD pulls up to a toll booth and smoothly comes to a stop, allowing the driver to handle payment. The car waits patiently as the driver interacts with the attendant. Then, at the precise moment the toll booth operator finishes the transaction and says “Have a great day”, the vehicle starts moving, proceeding through the booth - all without any input from the driver.
If you notice, there’s no gate here at this toll booth. This interaction all happened naturally with FSD.
While the timing was perfect, the FSD wasn’t listening to the conversation for clues (maybe one day, with Grok?) The reality, as explained by Ashok Elluswamy, Tesla’s VP of AI, is even more impressive.
It can see the transaction happening using the repeater & pillar cameras. Hence FSD proceeds on its own when the transaction is complete 😎
FSD is simply using the cameras on the side of the vehicle to watch the exchange between the driver and attendant. The neural network has been trained on enough data that it can visually recognize the conclusion of a transaction - the exchange of money or a card and the hands pulling away - and understands that this is the trigger to proceed.
The Bigger Picture
This capability is far more significant than just a simple party trick. FSD is gaining the ability to perceive and navigate a world built for humans in the most human-like fashion possible.
If FSD can learn what a completed toll transaction looks like, it’s an example of the countless other complex scenarios it’ll be able to handle in the future. This same visual understanding could be applied to navigating a fast-food drive-thru, interacting with a parking garage attendant, passing through a security checkpoint, or boarding a ferry or vehicle train — all things we thought that would come much later.
These human-focused interactions will eventually become even more useful, as FSD becomes ever more confident in responding to humans on the road, like when a police officer tells a vehicle to go a certain direction, or a construction worker flags you through a site. These are real-world events that happen every day, and it isn’t surprising to see FSD picking up on the subtleties and nuances of human interaction.
This isn’t a pre-programmed feature for a specific toll booth. It is an emergent capability of the end-to-end AI neural nets. By learning from millions of videos across billions of miles, FSD is beginning to build a true contextual understanding of the world. The best part - with a 10x context increase on its way, this understanding will grow rapidly and become far more powerful.
These small, subtle moments of intelligence are the necessary steps to a truly robust autonomous system that can handle the messy, unpredictable nature of human society.
![No Driver Needed: Tesla FSD Stops at Toll, Waits for Driver to Pay and Takes Off Again [VIDEO]](https://www.notateslaapp.com/img/containers/article_images/fsd-beta/fsd-toll-booth.webp/57e008aff60c6c1e998e304eca200cda/fsd-toll-booth.jpg)
