Tesla Service Mode: How to Access It and What It Does

Tesla's Service Mode

Not a Tesla App

Tesla ships a very detailed and comprehensive diagnostic and repair utility that is available in-vehicle, without requiring external plugs, adapters, or computers. It helps both Tesla and 3^rd party technicians service Tesla vehicles far more efficiently.

Who Can Access It?

Unlike many other vehicle manufacturers, who require OBD-2 ports, service subscriptions, and other external utilities, anyone can access Tesla’s service mode. All owners and 3^rd party technicians can access Service Mode by simply entering a special mode in the vehicle.

What Features Does It Have?

Service Mode is a special hidden app in the vehicle that provides various diagnostics tools that let you test various vehicle subsystems and components. Remember that if you’re exploring service mode on your own, you’ll want to be careful. Many of the features kept inside Service Mode are intended for debugging or repair – and not for the average user, however, Tesla provides a very user-friendly interface.

The options available will vary based on the vehicle and the systems available in that vehicle. For example, the Model S will have a diagnostic tool to troubleshoot its door handles, while the Model X will have one for its falcon-wing doors, but most tools will apply to a wide range of vehicles.

The Vehicle Info section of Service Mode

Not a Tesla App

How to Access Service Mode

Tesla’s Service Mode is accessible via the touchscreen with just a few taps. Go to the vehicle controls button (the car icon), and tap the Software tab. After that, locate the vehicle model badge, (e.g. MODEL Y Long Range), directly beneath the vehicle image.

Tap and hold the word “MODEL” for 2 seconds, until you see a small ripple then let go. A menu and on-screen keyboard will pop up, prompting for an access code. Type the access code “service”.

Once you do this, it will bring up the SERVICE menu and a new app in the dock that’s red with a wrench. The entire display will also have a red border around it, indicating the vehicle is in Service Mode. Do NOT drive the vehicle in Service Mode, as many safety features are disabled while Service Mode is active.

How to Exit Service Mode

Once again, you can disable Service Mode from the primary display. If you’ve gone into another app, locate a bright red icon with a wrench in the dock or in the All Apps menu.

Once you bring up the Service Mode app, tap on the last icon in the left column. It’s red and shows a door with an arrow. Simply tap and hold this icon for several seconds to exit Service Mode. You’ll know once Service Mode is exited because the red border around the screen will be removed.

If you can’t find the Service Mode app, start Service Mode again by going to Controls > Software and holding the badge icon to enter Service Mode mode again. Once you’re back in the menu, tap and hold on the red exit icon.

Vehicle Info

Tesla breaks Service Mode into various sections which we’ll go through below. The Vehicle Info section provides most of the same information available in the vehicle’s Software menu, showing you things such as VIN, Autopilot computer, software version and more. At the bottom, you also have access to Service Alerts, Service Settings, Software Reinstall, and a Touch Screen check to confirm your display is working correctly. There is also a button for Additional Resources, which takes you to your vehicle’s Service Guide online.

Driver Assist

This tab has two menus – Cameras and ECU. The Cameras menu provides nominal information on the vehicle cameras, including pitch information – useful for technicians working on the windshield. You can also clear camera calibration from here – but you can also do that within the regular vehicle menus and get a full preview of all cameras.

The ECU tab provides information on the vehicle's electronic control unit and GPS/GNSS.

Infotainment

Infotainment section of Service Mode

Not a Tesla App

The Infotainment tab has two menus – Connectivity and Software. The Connectivity menu provides information on Wi-Fi and Cell connectivity and the status of the vehicle’s modems. You can run tests on either modem from here.

The Software tab provides information on the vehicle’s downloaded software and backup banks. Here, you’ll see that both the infotainment and Autopilot systems have 2 side-by-side banks – one keeps the previous update. Map info is also available here. These will be blank or display “—” while updating.

High Voltage

High Voltage section of Service Mode

Not a Tesla App

The High Voltage section is one of the most useful menus – it provides you with the ability to conduct Battery Health tests. The UI here provides information on the entire high-voltage system, including the battery, inverter, motors, vehicle charger, as well as the contactor and high-voltage pyro fuse.

The second tab in the high voltage menu displays the temperature of the battery and details on connected charging apparatuses.

Low Voltage

The Low Voltage system is all the other electronics in the car, and it provides information on the various low voltage components, including the 16v Lithium-Ion (or 12v Lead-Acid, for older vehicles).

This UI is drastically different in the Cybertruck – where it does not run on 16v, but rather 48v.

The last piece of the Low Voltage UI is Homelink. If you purchase Homelink – an add-on module – Tesla will install it for you. If you choose to install it yourself, you can commission the Homelink module through this menu. In the menu, you can also see how many devices are programmed and how many codes have been transmitted with HomeLink.

Thermal

The Thermal menu displays the status of the HVAC system, as well as the battery’s portion of the loop. It’s one of the coolest-looking menus since its animated.

It provides options for self-tests, as well as several options for the coolant and thermal pumps. This UI is for vehicles with heat pumps – legacy vehicles will have an A/C compressor and resistive heating.

This is also where you can view the status of your cabin and HEPA filters, and you can see if they need to be replaced.

The Thermal Menu on 2024.14

Not a Tesla App

Chassis

The Chassis menu provides you with steering options – and the ability to view or adjust your steering wheel offsets, look at suspension information on the Model S and X, re-calibrate the steering column, and confirm each of the buttons on the steering wheel and its stalks are working as expected.

It also provides you with some details on the vehicle’s brakes – showing some test and brake bleed options. An option for Brake Burnishing option is also available here.

Closures

The closures menu shows the status of windows, or automatic doors as well as the status of the front and rear defrosters. You can recalibrate each window and confirm it’s working properly. On the Model S it displays information on the automatic door handles, on the Model X it has a test for the gull-wing doors and for the Cybertruck you can test the tonneau cover.

Safety & Restraints

Safety & Restraints section of Service Mode

Not a Tesla App

This menu simply displays the status of airbags, seat restraints, occupancy sensors and the pyro fuses in them, letting you confirm that each item is working properly and doesn’t have any faults.

Service Mode+ and Toolbox3

Of course, Tesla does have their own way of getting even more data than what is provided in Service Mode, through Service Mode+ and Toolbox3 – a subscription-access service similar to other vehicle vendors.

Service Mode+ is an additional set of tools that are internal to Tesla and require a Toolbox3 setup and subscription to access. It provides further information to fleet owners, collision centers, and Tesla technicians to diagnose and repair vehicles, as well as providing the capability to easily enable or disable Service Mode on vehicles remotely.

Toolbox3 is a subscription service that Tesla offers 3^rd-party technicians and collision centers for around $3,000 per year or a hefty $500 for 30 days. Toolbox3 is installed on a computer and uses a special vehicle interface cable connected to the vehicle. If you’re a technician looking for details on how to set up or use Toolbox3, Tesla’s Online Service Manuals provide a per-vehicle and per-hardware spec guide on how to set it up.

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Tesla Included FSD V12.6.1 and V13.2.4 in the Same Update: What Caused This and What It Means

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Tesla launched two FSD updates simultaneously on Saturday night, and what’s most interesting is that they arrived on the same software version. We’ll dig into that a little later, but for now, there’s good news for everyone. For Hardware 3 owners, FSD V12.6.1 is launching to all vehicles, including the Model 3 and Model Y. For AI4 owners, FSD V13.2.4 is launching, starting with the Cybertruck.

FSD V13.2.4

A new V13 build is now rolling out to the Cybertruck and is expected to arrive for the rest of the AI4 fleet soon. However, this build seems to be focused on bug fixes. There are no changes to the release notes for the Cybertruck with this release, and it’s unlikely to feature any changes when it arrives on other vehicles.

While this update focuses on bug fixes, Tesla’s already working on bigger features for FSD V13.3, which we have already confirmed to include improvements to highway following and speed control.

FSD V12.6.1

FSD V12.6.1 builds upon V12.6, which is the latest FSD version for HW3 vehicles. While FSD V12.6 was only released for the redesigned Model S and Model X with HW3, FSD V12.6.1 is adding support for the Model 3 and Model Y.

While this is only a bug-fix release for users coming from FSD V12.6, it includes massive improvements for anyone coming from an older FSD version. Two of the biggest changes are the new end-to-end highway stack that now utilizes FSD V12 for highway driving and a redesigned controller that allows FSD to drive “V13” smooth.

It also adds speed profiles, earlier lane changes, and more. You can read our in-depth look at all the changes in FSD V12.6.

Same Update, Multiple FSD Builds

What’s interesting about this software version is that it “includes" two FSD updates, V12.6.1 for HW3 and V13.2.4 for HW4 vehicles. While this is interesting, it’s less special when you understand what’s happening under the hood.

The vehicle’s firmware and Autopilot firmware are actually completely separate. While a vehicle downloading a firmware update may look like a singular process, it’s actually performing several functions during this period. First, it downloads the vehicle’s firmware. Upon unpacking the update, it’s instructed which Autopilot/FSD firmware should be downloaded.

While the FSD firmware is separate, the vehicle can’t download any FSD update. The FSD version is hard-coded in the vehicle’s firmware that was just downloaded. This helps Tesla keep the infotainment and Autopilot firmware tightly coupled, leading to fewer issues.

What we’re seeing here is that HW3 vehicles are being told to download one FSD version, while HW4 vehicles are being told to download a different version.

While this is the first time Tesla has had two FSD versions tied to the same vehicle software version, the process hasn’t actually changed, and what we’re seeing won’t lead to faster FSD updates or the ability to download FSD separately. What we’re seeing is the direct result of the divergence of HW3 and HW4.

While HW3/4 remained basically on the same FSD version until recently, it is now necessary to deploy different versions for the two platforms. We expect this to be the norm going forward, where HW3 will be on a much different version of FSD than HW4. While each update may not include two different FSD versions going forward, we may see it occasionally, depending on which features Autopilot is dependent on.

Thanks to Greentheonly for helping us understand what happened with this release and for the insight into Tesla’s processes.

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Nvidia’s Cosmos Offers Synthetic Training Data; Following Tesla’s Lead

Not a Tesla App

At the 2025 Consumer Electronics Show, Nvidia showed off its new consumer graphics cards, home-scale compute machines, and commercial AI offerings. One of these offerings included the new Nvidia Cosmos training system.

Nvidia is a close partner of Tesla - in fact, they produce and supply the GPUs that Tesla uses to train FSD - the H100s and soon-to-be H200s, located at the new Cortex Supercomputing Cluster at Giga Texas. Nvidia will also challenge Tesla’s lead in developing and deploying synthetic training data for an autonomous driving system - something Tesla is already doing.

However, this is far more important for other manufacturers. We’re going to take a look at what Nvidia is offering and how it compares to what Tesla is already doing. We’ve done a few deep dives into how Tesla’s FSD works, how Tesla streamlines FSD, and, more recently, how they optimize FSD. If you want to get familiar with a bit of the lingo and the background knowledge, we recommend reading those articles before continuing, but we’ll do our best to explain how all this synthetic data works.

Nvidia Cosmos

Nvidia’s Cosmos is a generative AI model created to accelerate the development of physical AI systems, including robots and autonomous vehicles. Remember - Tesla’s FSD is also the same software that powers their humanoid robot, Optimus. Nvidia is aiming to tackle physical, real-world deployments of AI anywhere from your home, your street, or your workplace, just like Tesla.

Cosmos is a physics-aware engine that learns from real-world video and builds simulated video inputs. It tokenizes data to help AI systems learn quicker, all based on the video that is input into the system. Sound familiar? That’s exactly how FSD learns as well.

Cosmos also has the capability to do sensor-fused simulations. That means it can take multiple input sources - video, LiDAR, audio, or whatever else the user intends, and fuse them together into a single-world simulation for your AI model to learn from. This helps train, test, and validate autonomous vehicle behavior in a safe, synthetic format while also providing a massive breadth of data.

Data Scaling

Of course, Cosmos itself still requires video input - the more video you feed it, the more simulations it can generate and run. Data scaling is a necessity for AI applications, as you’ll need to feed it an infinite amount of data to build an infinite amount of scenarios for it to train itself on.

Synthetic data also has a problem - is it real? Can it predict real-world situations? In early 2024, Elon Musk commented on this problem, noting that data scales infinitely both in the real world and in simulated data. A better way to gather testing data is through real-world data. After all, no AI can predict the real world just yet - in fact, that’s an excellent quantum computing problem that the brightest minds are working on.

Yun-Ta Tsai, an engineer at Tesla’s AI team, also mentioned that writing code or generating scenarios doesn’t cover what even the wildest AI hallucinations might come up with. There are lots of optical phenomena and real-world situations that don’t necessarily make sense in the rigid training sets that AI would develop, so real-world data is absolutely essential to build a system that can actually train a useful real-world AI.

Tesla has billions of miles of real-world video that can be used for training, according to Tesla’s Social Media Team Lead Viv. This much data is essential because even today, FSD encounters “edge cases” that can confuse it, slow it down, or render it incapable of continuing, throwing up the dreaded red hands telling the user to take over.

Cosmos was trained on approximately 20 million hours of footage, including human activities like walking and manipulating objects. On the other hand, Tesla’s fleet gathers approximately 2,380 recorded minutes of real-world video per minute. Every 140 hours - just shy of 6 days - Tesla’s fleet gathers 20 million hours of footage. That was a little bit of back-of-the-napkin math, calculated at 60 mph as the average speed.

Generative Worlds

Both Tesla’s FSD and Nvidia’s Cosmos can generate highly realistic, physics-based worlds. These worlds are life-like environments and simulate the movement of people and traffic and the real-life position of obstacles and objects, including curbs, fences, buildings, and other objects.

Tesla uses a combination of real-world data and synthetic data, but the combination of data is heavily weighted to real-world data. Meanwhile, companies who use Cosmos will be weighting their data heavily towards synthetically created situations, drastically limiting what kind of cases they may see in their training datasets.

As such, while generative worlds may be useful to validate an AI quickly, we would argue that these worlds aren’t as useful as real-world data to do the training of an AI.

Overall, Cosmos is an exciting step - others are clearly following in Tesla’s footsteps, but they’re extremely far behind in real-world data. Tesla has built a massive first-mover advantage in AI and autonomy, and others are now playing catch-up.

We’re excited to see how Tesla’s future deployment of its Dojo Supercomputer for Data Labelling adds to its pre-existing lead, and how Cortex will be able to expand, as well as what competitors are going to be bringing to the table. After all, competition breeds innovation - and that’s how Tesla innovated in the EV space to begin with.

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