Tesla released its Q1 2025 delivery and production numbers this morning, reporting 336,681 vehicles delivered and 362,615 produced—marking the company’s weakest quarter since 2022. Deliveries declined 13% year-over-year and fell well short of Wall Street estimates, which ranged from 360,000 to 370,000. Some analysts had forecast as many as 407,000 units.
Despite the shortfall, Tesla stock is actually up about 4% this morning, not only suggesting the market had already priced in weaker performance, but that this may be seen as the low point for the company. Tesla began delivering its refreshed Model Y in March, and production across all four Gigafactories was impacted by several weeks of downtime as Tesla retooled lines to accommodate the newer model. However, there’s no doubt that there is some brand impact from Elon Musk.
Comparing Numbers
Most of the deliveries—323,800 units—came from the Model 3 and Model Y lineup, while the “Other Models” category (including the Cybertruck, Model S, and Model X) accounted for 12,881 deliveries. That’s a 31% drop for Model 3/Y and a sharper 45% drop for the Other Models category compared to the previous quarter. However, comparing it to a more applicable Q1 2024, these numbers are only down about 13% for the Model 3/Y and down about 24% for the Model S/X and Cybertruck.
In terms of production, Tesla built 345,454 Model 3/Y vehicles and 17,161 from its “Other Models” line. The company attributed the production drop to the Model Y changeover but said the ramp is “going well.” This still leaves a large gap between production and delivery numbers, although they may not be as large as many had feared.
Q1 2025
Q1 2024
Q4 2024
Model 3/Y Deliveries
323,800
369,783
471,930
Model 3/Y Production
345,454
412,376
436,718
Other Models Deliveries
12,881
17,027
23,640
Other Models Production
17,161
20,995
22,727
Total Deliveries
336,681
386,810
495,570
Total Production
362,615
433,371
459,445
Cybertruck
One major weak point in Tesla’s numbers seems to be Cybertruck deliveries. While Tesla previously expected the Cybertruck to sell more than 250k units per year, we’re already seeing a decline in numbers. This is likely due to several factors, including the higher-than-expected price point of the truck, the unavailability of the RWD model, and the Cybertruck’s polarizing design, which may attract unwanted attention right now.
While the Cybertruck was ramping up production in 2024, making the lower numbers reasonable, the deliveries for Q1 2025 dropped drastically compared to the previous quarter. Cybertruck deliveries are estimated to be in the 5- 6k unit range for the quarter.
The good news to take away here is that the Single Motor variant of the Cybertruck appears to be nearing release. The price of the RWD version is expected to be about $60k USD before any incentives.
Q1 Earnings Call
Tesla announced their quarterly numbers this morning and posted on social media that they’ll live stream their Earnings Call on April 22nd.
This post was later edited to change “Q1 Earnings Call” to “Q1 Company Update.” It’s not clear whether there’s any significance in this change, but it could mean that Tesla has more to announce during the call.
The Company Update will occur on April 22nd at 2:30 PM PT / 5:30 PM ET. The standard Q&A session with executives and Musk is expected to follow the release of additional financial results for the quarter.
Tesla is set to launch its long-awaited Robotaxi service in June, and a cheaper, mass-market model is also planned for this year. With delivery numbers coming in soft and the refreshed Model Y just hitting the road, all eyes will be on forward-looking commentary during the update.
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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.
