Tesla Model 3 and Model Y to have faster processors, 12v li-ion battery and more

New Tesla Model Y Performance models coming out of China this month have the biggest changes we've seen to the car so far. The cars have several major hardware changes that improve the infotainment system, noise isolated and more.

Tesla starts using 12v lithium-ion batteries

JayinShanghai/Twitter

Infotainment Processor

The first major upgrade is the processor that powers the car's infotainment display. It has been upgraded from the Intel Atom processor to a much faster AMD Ryzen chip. It's the same chip that's used in the redesigned Model S and X, although the Model S and X feature 16GB of ram while these new Model Ys appear to have only 8GB.

This processor is much faster than the Atom processors that are currently in Model 3s and Model Ys.

Graphics Processor

The new Model S and X feature a dedicated GPU that is capable of PS5-like graphics. The system is able to play one of the most intensive video games, Cyberpunk 2077.

We thought that this chip would be exclusive to Tesla's higher-priced vehicles, but surprisingly, the new Model Ys feature the same graphics processor in the new Model S and X.

.@xiaoteshushu GigaWorkshop Tear-down of Tesla MIC Model Y Performance.

First look inside the new MCU component, GPU (AMD Ryzen) is the same as Model S Plaid.#Tesla #TeslaChina #ModelYPerformance $TSLA @teslacn @elonmusk @AMDRyzen pic.twitter.com/boiDbIiuw0

— Jay in Shanghai ?? (@JayinShanghai) November 28, 2021

It appears that Tesla plans to keep the infotainment and graphic processors the same across their entire lineup of cars. Having such an advanced processor will surely open up the possibilities to new games and enhanced capabilities in the car.

MCU 3

When the Model S was unveiled, it contained this new processor and high-end gaming capabilities. At the time, no one was sure whether this hardware would be exclusive to the Model S or whether it would trickle down to other vehicles.

Tesla MIC Model Y Performance First Look！

Does AMD Ryzen seem to make the new MIC Model Y Performance look smoother than ever?

What do you think?

AMD YES？

(Video shared by users in our community group) $TSLA @elonmusk pic.twitter.com/0kfLm2G6vo

— 42HOW (@42how_) November 26, 2021

However, at this point it's fairly certain that the AMD Ryzen chip and graphics processor Tesla is using will be a part of Tesla's MCU 3 and will be used across their entire fleet.

Software

Although the new Model Ys coming out of China contain the same CPU and GPU processors as the new Model S, they still feature the same 15" screen as other Model Ys. They also still use the same user-interface as all current Model Ys, although they're certainly capable of running the same Tesla interface in the new Model S.

It's not clear whether the new interface is still being adapted for slightly smaller screens, but we expect that these new Model Ys with MCU 3 will be running the updated Tesla interface in the future.

We don't know if vehicles with MCU 2 will be able to run the updated interface at some point. Tesla employees have previously said off the record that MCU 2 isn't capable of running the new interface found on the new Model S, but it's possible that Tesla figured out a way to run the new interface on MCU 2 vehicles. If the new interface comes to MCU 2 cars, it'll likely need to be adapted to be able to run on slower hardware or limit some of its features, such as dragging and docking windows.

12v Battery

All Teslas up until the release of the redesigned Model S and Model X used 12v lead-acid batteries. This lower voltage battery is used to power door locks, electronics and other smaller items in the car that can't be run off of the high voltage battery.

The 12v lead-acid batteries in Model 3 and Model Ys are the same kind found in just about every other car. The battery is recharged off of the car's main battery. These lead-acid batteries last about four to five years, but we've seen them last only a couple years as well.

With the new Model S, Tesla switched to a lithium-ion based battery that is much lighter and lasts much longer than lead-acid batteries.

These new Model Ys coming out of GIGA Shanghai are coming with the same lithium-ion battery that is found in new Model S and X vehicles.

The battery is estimated to last the life of the vehicle and never needs replacing. This is a nice improvement and it's a great way for Tesla to reduce Tesla service visits.

It also helps increase customer satisfaction and lower the maintenance required for Teslas even further.

Although replacing a lead-acid battery in a vehicle isn't an expensive procedure, having a lithium-ion battery that doesn't need to be replaced is a nice improvement for all future Tesla owners.

It'll be interesting to see whether Tesla will be able to upgrade lead-acid batteries to their lithium-ion models in future service calls for any customers that need one replaced.

Other Changes

Another change that has been noticed in these new models is that the rear passengers windows now have double laminated glass similar to the front windows, to help further isolate road noise.

It's possible that there are other smaller changes in these new models as well, but these have been the major changes observed so far.

These hardware changes are currently exclusive to new Model Y Performance models coming out of China. Tesla slowly makes changes to its lineup throughout the year when possible, but the changes we're seeing here are major improvements to the vehicle.

You can be sure that all Tesla factories will adopt the same hardware changes we're seeing in China across all models in the coming weeks or months.

There has now been a video posted that compares how much faster MCU 3 is compared to MCU 2 when loading various apps.

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Tesla Plans Massive 10x Robotaxi Expansion: A Look at the Potential New Area

Not a Tesla App

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.

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Caught on Video: Tesla FSD Tackles a Toll Booth — Here’s How It Pulled It Off

@DirtyTesLa on X

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.

FSD 13.2.9 pulls up to a toll booth, waits for me to complete my transaction, then pulls away without a gate. 😳 Incredible. https://t.co/OsH1YAY8Ty pic.twitter.com/9hWAbLNrVa

— Dirty Tesla (@DirtyTesLa) July 27, 2025

How It Really Works

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 😎

— Ashok Elluswamy (@aelluswamy) July 27, 2025

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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