At the 2023 Q3 Earnings Call, Tesla provided an update on its next-generation model, what many are referring to as the “Model 2” or “Model Q.” Although the actual model name is yet to be determined, it is known internally as Redwood.
During the 2024 Shareholder Meeting, Musk again mentioned the upcoming model, saying that Tesla is working on new products, including a more affordable vehicle and a larger SUV.
While we know the next-gen vehicle is aimed at the $25k to $30k USD market, we now have some new information thanks to a new report out of China.
Launch & Price
According to the Chinese outlet CNMO Technology News (Sina Finance), Travis Axelrod, Tesla’s Head of Investor Relations, announced plans to launch a new model. Axelrod shared this update while addressing senior corporate investors at an investor conference hosted by Deutsche Bank on December 5, 2024.
The goal of Project Redwood, internally dubbed “Model Q” by Deutsche Bank, is to achieve a post-subsidy price of under $30,000 USD. With the Federal EV Rebate potentially expiring next year, this suggests that the Model Q’s starting price will be around $30,000 USD. For comparison, the Model 3 currently starts at $42,490 in the U.S.
We previously reported that Tesla has already been speaking to suppliers and is looking to begin volume production of the vehicle sometime around June 2025. Of course, prototyping is still necessary, but we haven’t seen any signs of Tesla testing a new vehicle since spotting the Cybercab on the streets ahead of We, Robot.
Specs
The Model Q will supposedly be about 15% smaller and 30% lighter than the Model 3, with an approximate length of 3,988mm, or 157 inches. For scale, the Mini is 157 inches, while the Model 3 is 185 inches, so it’s fairly compact.
The battery will also be smaller to match the vehicle’s smaller size as Tesla tries to reduce the vehicle’s price while maintaining a similar range as its other vehicles. Tesla is expected to offer two models—a single-motor RWD model and a Long-Range Dual-Motor AWD variant.
The lower trim level will include a 53 kWh lithium iron phosphate (LFP) battery, while the AWD version is expected to include a 75 kWh LFP battery. The report says that the vehicle will be able to travel up to 500 km (310 miles) on a single charge, but it’s not clear whether this will be for the more efficient RWD version or the AWD variant.
Given the vehicle’s weight reduction compared to the Model 3, this type of range is likely for the lower trim level.
Variant
Motors
Battery Size
Estimated Range
RWD
1
53 kWh (LFP)
310 miles (500km)?
AWD
2
75 kWh (LFP)
?
There’s no news yet on the price of the AWD version, but we expect it to be about $5,000 more expensive than the RWD variant.
Once the vehicle ramps up in production, Tesla intends to produce about 10,000 of these per week globally or about 500,000 per year. As Tesla mentioned during one of their previous earnings calls, this next-gen vehicle will be built using Tesla’s current assembly lines with minimal changes. This should allow for a smoother and more predictable production ramp. While Tesla still plans to use its new unboxed assembly process, it’s now saving it for the robotaxi.
We’re expecting Juniper to launch early next year, as production has supposedly already begun at Giga Shanghai, at least on a limited prototyping basis. If the rollout matches the Model 3 Highland refresh, we’ll see Juniper arrive in China first and then make its way to North America and Europe by the end of 2025. The performance variants should launch in early 2026, after the standard models.
If you’re excited about Juniper, so are we! Check out our wishlist of features for Tesla’s Model Y refresh, and see everything we know so far.
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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.
