Three months after launching the Refreshed Model Y in North America, Tesla has finally ended the Launch Edition of the new vehicle. In addition, Tesla has also launched a new paint color for North America.
April has been the month of a lot of positive news, and it is great to see Tesla going beyond the Launch Edition of the Model Y and making it available to more customers immediately.
Launch Edition
The Launch Edition of the Model Y included the following extra features, bundled into the package cost.
Any paint choice (up to $1,500 USD value)
20” Helix 2.0 wheels ($2,000 USD)
Tow package ($1,000 USD)
Any interior color ($1,000 USD)
FSD ($8,000)
Acceleration Boost ($2,000)
The Launch Edition Model Y also included some other subtle changes like Launch Edition badging and trim, which you can read about here. Everything but the badging and Launch Edition trim can be bought for other Model Y trim levels.
Updated Pricing
The pricing has changed quite a bit from the Launch Edition, and it turns out the Launch Edition was also a pretty good deal if you were planning to buy most or all the extra features, which could save you almost $5,000 US. This is in sharp contrast to the Foundation-Series Cybertrucks, where there was very little to no difference in terms of price between a Foundation-Series truck and the AWD version with all the paid extras. Of course, not everyone may be interested in all features of the Launch Edition, so waiting for the AWD Model Y will save most people some cash.
Here’s a chart with the launch pricing and the updated pricing. Of note, the Refreshed Model Y Long Range AWD is $1,000 USD ($1,000 CAD as well) more expensive than the first-gen Model Y.
Model Y LR AWD
Price (USD)
Price (CAD)
Launch Edition
$59,990
$84,990
AWD Model Y
$48,990
$69,990
AWD Model Y With Paid Options
$64,490
$90,790
Interestingly, at least for now, Tesla is still including the Mobile Connector with the Model Y. We’re not sure how long that will last, but that’s a pretty nice little boost since Tesla stopped including the Mobile Connector with vehicles back in 2022.
New Paint Color
Last, but not least, Tesla has brought a brand new paint color into the fold. Last month, we heard Franz von Holzhausen, Tesla’s Chief Vehicle Designer, discuss paint colors - and the possibility of a new paint color on the horizon.
This has materialized with the launch of the brand new Diamond Black color option, which is replacing the old standard Black that Tesla used to offer. Diamond Black is a premium paint option and will cost $1,500 USD.
Diamond Black is a multicoat black paint with embedded sparkles and flakes, giving it a very fresh and unique look. We’re excited to see it in person, as it looks like a big step up from the solid black paint that Tesla was previously using. Several years ago, black was the standard color included in most new Teslas, so it’s also fairly common.
Paints like the new Diamond Black tend to glimmer and slightly shift colors based on the angle, so this one will be an eyecatcher, just like Quicksilver.
For now, Diamond Black is only available in the United States - it isn’t available in Canada or Mexico just yet. Since both countries receive vehicles from Giga Texas and Fremont, we expect this color to be made available in the coming days.
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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. You can check this out in our map below with the sightings we’re tracking.
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.
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.
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