Tesla HW3 FSD Update Coming: What's Included & What to Expect

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It's been a while since HW3 owners have received a new FSD update, with the latest update coming with FSD version 12.5.4.2. While this version added vision-based attention monitoring with sunglasses, it’s still far behind the latest features available on FSD v13.2.1.

Tesla shared their FSD roadmap twice in the past few months, but HW3 was mostly left out, except for a single bullet point that stated there would be improved V12.5.x AI models for city driving.

We’ve recently seen HW4 vehicles receive much larger AI models, camera improvements that include processing video feeds at full resolution and 36 FPS, and much more. FSD V13 also gained features such as the ability to reverse and start FSD from park, amongst others.

It’s clear that HW3 is not powerful enough to run these latest FSD models, but HW3 owners are right to feel left out and disappointed with Tesla selling vehicles with HW3 up through the middle of 2023. Elon Musk has stated that Tesla will upgrade HW3 cars if needed, but are left in the dark in terms of what the upgrade will be and when it’ll become available.

Since that comment from Musk and Tesla’s updated roadmap in late October, Tesla hasn’t shared any additional news on HW3, until now.

Ashok Elluswamy, VP of AI at Tesla, has confirmed on X that an FSD update for HW3 owners is coming before the end of the year. Putting aside the 2 weeks joke, he did confirm that FSD V12.6 will be on its way for HW3 vehicles by the end of the year - which just happens to be about 2 weeks away.

FSD V12.6

WholeMarsBlog on X

It seems that the V12.6 build will be unique to Hardware 3 - as there haven’t been any builds with that FSD version yet. The closest build that we have to look at is FSD V12.5.6.4, which only went out to HW4 vehicles. We expect FSD V12.6 to include everything in 12.5.6.4 with possibly some additions.

FSD V12.5.6 brought a lot of improvements. We covered all of the features in FSD 12.5.6 previously, if you want a detailed breakdown and photos of all the features. However, here’s a high level overview of everything that version included:

• Better and More Natural Lane Change Decisions

• Updated Speed Profiles, including Hurry Mode

• Auto Speed Changes

• End-to-End Highway Stack

• Audio Data Collection

These changes greatly improved FSD on HW4, so we’ll have to wait and see if they provide similar improvements for HW3 vehicles. The more natural decisions should improve overall smoothness and get rid of the jerky-wheel syndrome and green-light braking that has become synonymous with V12.5.4.2. Alongside better lane selection, this makes the entire experience much smoother and more fitting of Full Self Driving.

The updated speed profiles are applicable on both roads and highways (up to 50 mph with this version), which means you’ll get an updated Chill Mode (with Minimal Lane Changes), Standard Mode, and the new Hurry Mode, which is focused on driving faster and making more frequent lane changes.

Auto Speed has also been removed in favor of Max Speed, which will let you define an overall max while letting FSD still pick its overall speed up to that maximum set speed. You can adjust the hard max by using your scroll wheel to slow down or speed up the vehicle.

However, the biggest feature in this update is the new End-to-End Highway Stack, which finally brings the benefits of FSD V12 on city streets to highway driving.

The final feature that we’re expecting in FSD V12.6 is the ability to collect audio data to begin training for hearing emergency vehicles. This one will be big and it’s what will make FSD feel very human-like. Tesla is starting off with detecting emergency vehicles, but you can expect them to start detecting much more than that soon.

Tesla hints at that in their release notes, saying that audio sharing will be used for features such as emergency vehicle detection. Expect FSD to react to more in the future, such as vehicles honking or someone yelling. Tesla also said that they’ll be looking to have the vehicle honk when needed.

Why FSD 12.6

It’s interesting that Tesla is choosing to name this version FSD 12.6 instead of FSD 12.5.6.x, like they’ve done in the past. This points at some additional improvements being included, but it’s not clear what they could be. Could Tesla bring down some improvements from FSD V13, or add some features such as the ability to reverse?

Tesla may want to stay away from the FSD V13 name if the HW3 version isn’t going to perform as well as FSD V13 on HW4, but at the same time, they could simplify some FSD V13 features and make them available for HW3 owners.

What’s in FSD V13

Let’s take a quick look at all the features in FSD V13 that weren’t in FSD 12.5.6.x. FSD V13 includes significant improvements to the FSD model that just won’t fit into HW3 that are likely responsible the the smoothness seen in FSD V13. This includes a much larger model, full camera resolution, higher frame rates, and more, but FSD V13 also includes these additional features:

• Speed Profiles on both City Streets and Highways (available on all roads and speeds)

• Integrated unpark, reverse, and park capabilities

• Start FSD from Park

• Improved reward predictions for collision avoidance

• Improved camera cleaning

• Redesigned controller for smoother, more accurate tracking

• Dynamic routing around road closures, which displays them along an affected route when they are detected by the fleet

While the larger model of FSD V13 is not expected to be available for HW3 vehicles, some of these other features have the possibility of making the cut in V12.6.

Legacy Vehicles

There’s no news on Model S and Model X legacy vehicles with MCU 1 receiving the same update just yet. Teslas with MCU 1 did receive FSD V12.3.6 on update 2024.26.3.1, but we haven’t seen anything indicating there will be another update coming soon. However, getting FSD 12.6 out for HW3 with MCU 2 could be the precursor to it becoming available for older MCU 1 vehicles.

We’re super excited to hear Tesla talking about HW3 vehicles and that an update is coming in just a couple of weeks. While it’s not FSD V13, it could provide massive improvements until a hardware upgrade becomes available for HW3 owners.

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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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