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Top 10 Tesla Track Mode V2 features for the Model 3 Performance
The capabilities of Tesla’s newly-unveiled Track Mode V2 was demonstrated recently by a select group of car enthusiasts, one of them being the host of YouTube’s Vehicle Virgins channel. Following some time with a Model 3 Performance with Track Mode V2, host Parker Nirenstein listed the 10 best features of the upcoming update.
Tesla’s V2 Track Mode was announced on March 2 and it will introduce a variety of new features that foster better performance for Model 3 owners who have a taste for higher speeds and racecar-like handling. Expanding on the original Track Mode, V2 promises even more customization, control, and capabilities for drivers brave enough to tap into the raw power of a Model 3 Performance.
Following are Vehicle Virgins‘ Top 10 Track Mode V2 features.
1. Industry-Leading Visual Display
Once Track Mode V2 is enabled, the Model 3’s center display changes to give drivers pertinent information for closed circuit driving. Instead of the typical driving visuals and trip stats featured in the Model 3’s screen, the Model 3 Performance’s display shifts to provide drivers with a clear visual of what is exactly happening with certain portions of the car while Track Mode V2 is engaged. Stats such as battery temperatures and tire temperatures are provided.
2. G-Force Meter
Track Mode V2’s G-Force Meter gives live feedback of current measurements of the car’s current state. The meter also tracks past G-Force measurements from the most recent session. This allows drivers to see how much G-force was applied to each portion of the car during drifting or hot laps.
3. Post-Drive Cooling Feature
Tesla has included a Post-Drive Cooling feature to Track Mode V2, a feature that the Vehicle Virgins host stated is something that is being included today in actual track cars. This feature prevents excessive heat from damaging the battery and the Model 3’s other critical components. This will also decrease the wait time between runs, allowing Model 3 Performance owners to spend more time on the closed circuit and less time waiting for their vehicles to cooling down.
4. Record Video Features
Track Mode V2 will now allow drivers to record recent runs using the vehicle’s built-in cameras that are used by Sentry Mode and Autopilot. Now, laps and drifting runs could be actively captured, allowing for playback of impressive lap times, or to show off a flawless drifting run around obstacles. Driving data from these videos can even be printed to give drivers the full rundown of their performance on the track.
5. Variable Power Splits
This makes the Dual Motor All-Wheel Drive vehicle capable of changing into a full Rear-Wheel-Drive or Front-Wheel-Drive car simply by toggling through settings on the Model 3 Performance’s center display. Nirenstein noted that the Model 3’s customization of this feature is much more impressive than his Lamborghini Huracan’s “Sport Mode,” which went all the way up to 90-10 in favor of Rear-Wheel Drive. The YouTube host also emphasized that the Model 3’s price is 10 times less than the Lamborghini’s, but he is much more impressed with the electric car’s feature.
6. Custom Track Settings
Custom settings could be named and perhaps even saved on the vehicle for specific tracks. This would allow drivers to get the optimum performance from their Model 3 Performance for each location or racing session that they will be attending.
7. 20 Stages of Traction Control
Track Mode V2 allows for 20 different settings of Traction Control for different driving experiences. Nirenstein stated that the AMG GTR became practically legendary due to its 9 different stages of traction control, but Tesla has actually more than doubled the number of options with 20 full stages. This, of course, provides Model 3 Performance drivers with an immense amount of control for their vehicle.
8. Regen only on the Rear Wheels
Track Mode V1 uses regen a lot to enable the Model 3 Performance to perform well on a closed circuit. Track Mode V2 takes this a step further, allowing owners to completely turn regen off, or only apply the braking system to the rear wheels exclusively in RWD mode. Experienced drivers and those who are proficient at drifting will likely take a liking to this capability.
9. Built-in Lap Timer with customizable start point and finish line
By using the vehicle’s GPS, drivers can set a custom start and finish point that will then track lap times and speed based on the vehicle’s location. This feature will record multiple laps, allowing drivers to test different lines and speeds to improve performance.
10. Compressor Overclock
Compressor Overclock runs the Model 3’s cooling compressor at an increased rate to inhibit faster battery and vehicle cooling, decreasing wait time between runs. The feature allows the compressor to run at a rate higher than normal, helping performance, but also increasing wear.
Each of these new features is demonstrated in Vehicle Virgins‘ new video, where host Parker Nirenstein demonstrated Track Mode V2’s capabilities. In addition to displaying the new functions Tesla has released with Track Mode V2, the video featured the new Model 3 Track Package recently released for the all-electric sedan. The package includes Zero-G Performance Wheels, race-focused brakes and brake fluid, and track-optimized tires.
Tesla has yet to set a date for when the free OTA update will roll out for Model 3 Performance owners. The Model 3 Track Package will begin shipping in April and it includes Zero-G Performance wheels, Michelin Pilot Sport Cup 2 tires, high-performance brake pads, track-focused brake fluid, center cups, pressure sensors, and lug nut covers. The package will cost $5,500.
Watch Vehicle Virgins‘ Track Mode V2 video below.
News
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
Tesla Full Self-Driving v14.2.2.5 hit my car back on Valentine’s Day, February 14, and since I’ve had it, it has become, in my opinion, the most confusing release I’ve ever had.
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
It has been about three weeks of driving on v14.2.2.5; I’ve used it for nearly every mile traveled since it hit my car. I’ve taken short trips of 10 minutes or less, I’ve taken medium trips of an hour or less, and I’ve taken longer trips that are over 100 miles per leg and are over two hours of driving time one way.
These are my thoughts on it thus far:
Speed Profiles Are a Mixed Bag
Speed Profiles are something Tesla seems to tinker with quite frequently, and each version tends to show a drastic difference in how each one behaves compared to the previous version.
I do a vast majority of my FSD travel using Standard and Hurry modes, although in bad weather, I will scale it back to Chill, and when it’s a congested city on a weekend or during rush hour, I’ll throw it into Mad Max so it takes what it needs.
Early on, Speed Profiles really felt great. This is one of those really subjective parts of the FSD where someone might think one mode travels too quickly, whereas another person might see the identical performance as too slow or just right.
To me, I would like to see more consistency from release to release on them, but overall, things are pretty good. There are no real complaints on my end, as I had with previous releases.
In a past release, Mad Max traveled under the speed limit quite frequently, and I only had that experience because Hurry was acting the same way. I’ve had no instances of that with v14.2.2.5.
Strange Turn Signal Behavior
This is the first Full Self-Driving version where I’ve had so many weird things happen with the turn signals.
Two things come to mind: Using a turn signal on a sharp turn, and ignoring the navigation while putting the wrong turn signal on. I’ve encountered both things on v14.2.2.5.
On my way to the Supercharger, I take a road that has one semi-sharp right-hand turn with a driveway entrance right at the beginning of the turn.
Only recently, with the introduction of v14.2.2.5, have I had FSD put on the right turn signal when going around this turn. It’s obviously a minor issue, but it still happens, and it’s not standard practice:
How can we get Full Self-Driving to stop these turn signals?
There’s no need to use one here; the straight path is a driveway, not a public road. The right turn signal here is unnecessary pic.twitter.com/7uLDHnqCfv
— TESLARATI (@Teslarati) February 28, 2026
When sharing this on X, I had Tesla fans (the ones who refuse to acknowledge that the company can make mistakes) tell me that it’s a “valid” behavior that would be taught to anyone who has been “professionally trained” to drive.
Apparently, if you complain about this turn signal, you are also claiming you know more than Tesla engineers…okay.
Nobody in their right mind has ever gone around a sharp turn when driving their car and put on a signal when continuing on the same road. You would put a left turn signal on to indicate you were turning into that driveway if that’s what your intention was.
Like I said, it’s a totally minor issue. However, it’s not really needed, and nor is it normal. If I were in the car with someone who was taking a simple turn on a road they were traveling, and they signaled because the turn was sharp, I’d be scratching my head.
I’ve also had three separate instances of the car completely ignoring the navigation and putting on a signal that is opposite to what the routing says. Really quite strange.
Parking Performance is Still Underwhelming
Parking has been a complaint of mine with FSD for a long time, so much so that it is pretty rare that I allow the vehicle to park itself. More often than not, it is because I want to pick a spot that is relatively isolated.
However, in the times I allow it to pull into a spot, it still does some pretty head-scratching things.
Recently, it tried to back into a spot that was ~60% covered in plowed snow. The snow was piled about six feet high in a Target parking lot.
A few days later, it tried backing into a spot where someone failed the universal litmus test of returning their shopping cart. Both choices were baffling and required me to manually move the car to a different portion of the lot.
I used Autopark on both occasions, and it did a great job of getting into the spot. I notice that the parking performance when I manually choose the spot is much better than when the car does the entire parking process, meaning choosing the spot and parking in it.
It’s Doing Things (For Me) It’s Never Done Before
Two things that FSD has never done before, at least for me, are slow down in School Zones and avoid deer. The first is something I usually take over manually, and the second I surprisingly have not had to deal with yet.
I had my Tesla slow down at a school zone yesterday for the first time, traveling at 20 MPH and not 15 MPH as the sign suggested, but at the speed of other cars in the School Zone. This was impressive and the first time I experienced it.
I would like to see this more consistently, and I think School Zones should be one of those areas where, no matter what, FSD will only travel the speed limit.
Last night, FSD v14.2.2.5 recognized a deer in a roadside field and slowed down for it:
🚨 Cruising home on a rainy, foggy evening and my Tesla on Full Self-Driving begins to slow down suddenly
FSD just wanted Mr. Deer to make it home to his deer family ❤️ pic.twitter.com/cAeqVDgXo5
— TESLARATI (@Teslarati) March 4, 2026
Navigation Still SUCKS
Navigation will be a complaint until Tesla proves it can fix it. For now, it’s just terrible.
It still has not figured out how to leave my neighborhood. I give it the opportunity to prove me wrong each time I leave my house, and it just can’t do it.
It always tries to go out of the primary entrance/exit of the neighborhood when the route needs to take me left, even though that exit is a right turn only. I always leave a voice prompt for Tesla about it.
It still picks incredibly baffling routes for simple navigation. It’s the one thing I still really want Tesla to fix.
Investor's Corner
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet,” BoA wrote.
Tesla received a tip of the hat from major Wall Street firm Bank of America on Wednesday, as it reinitiated coverage on Tesla shares with a bullish stance that comes with a ‘Buy’ rating and a $460 price target.
In a new note that marks a sharp reversal from its neutral position earlier in 2025, the bank declared Tesla’s Full Self-Driving (FSD) technology the “leading consumer autonomy solution.”
Analysts highlighted Tesla’s camera-only architecture, known as Tesla Vision, as a strategic masterstroke. While technically more challenging than the multi-sensor setups favored by rivals, the vision-based approach is dramatically cheaper to produce and maintain.
This cost edge, combined with Tesla’s rapidly expanding real-world data engine, positions the company to scale robotaxis far more profitably than competitors, BofA argues in the new note:
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet.”
The bank now attributes roughly 52% of Tesla’s total valuation to its Robotaxi ambitions. It also flagged meaningful upside from the Optimus humanoid robot program and the fast-growing energy storage business, suggesting the auto segment’s recent headwinds, including expired incentives, are being eclipsed by these higher-margin opportunities.
Tesla’s own data underscores exactly why Wall Street is waking up to FSD’s potential. According to Tesla’s official safety reporting page, the FSD Supervised fleet has now surpassed 8.4 billion cumulative miles driven.
Tesla FSD (Supervised) fleet passes 8.4 billion cumulative miles
That total ballooned from just 6 million miles in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and a staggering 4.25 billion in 2025 alone. In the first 50 days of 2026, owners added another 1 billion miles — averaging more than 20 million miles per day.
This avalanche of real-world, camera-captured footage, much of it on complex city streets, gives Tesla an unmatched training dataset. Every mile feeds its neural networks, accelerating improvement cycles that lidar-dependent rivals simply cannot match at scale.
Tesla owners themselves will tell you the suite gets better with every release, bringing new features and improvements to its self-driving project.
The $460 target implies roughly 15 percent upside from recent trading levels around $400. While regulatory and safety hurdles remain, BofA’s endorsement signals growing institutional conviction that Tesla’s data advantage is not hype; it’s a tangible moat already delivering billions of miles of proof.
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Tesla to discuss expansion of Samsung AI6 production plans: report
Tesla has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla is reportedly discussing an expansion of its next-generation AI chip supply deal with Samsung Electronics.
As per a report from Korean industry outlet The Elec, Tesla purchasing executives are reportedly scheduled to meet Samsung officials this week to negotiate additional production volume for the company’s upcoming AI6 chip.
Industry sources cited in the report stated that Tesla is pushing to increase the production volume of its AI6 chip, which will be manufactured using Samsung’s 2-nanometer process.
Tesla previously signed a long-term foundry agreement with Samsung covering AI6 production through December 31, 2033. The deal was reportedly valued at about 22.8 trillion won (roughly $16–17 billion).
Under the existing agreement, Tesla secured approximately 16,000 wafers per month from the facility. The company has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla purchasing executives are expected to discuss detailed supply terms during their visit to Samsung this week.
The AI6 chip is expected to support several Tesla technologies. Industry sources stated that the chip could be used for the company’s Full Self-Driving system, the Optimus humanoid robot, and Tesla’s internal AI data centers.
The report also indicated that AI6 clusters could replace the role previously planned for Tesla’s Dojo AI supercomputer. Instead of a single system, multiple AI6 chips would be combined into server-level clusters.
Tesla’s semiconductor collaboration with Samsung dates back several years. Samsung participated in the design of Tesla’s HW3 (AI3) chip and manufactured it using a 14-nanometer process. The HW4 chip currently used in Tesla vehicles was also produced by Samsung using a 5-nanometer node.
Tesla previously planned to split production of its AI5 chip between Samsung and TSMC. However, the company reportedly chose Samsung as the primary partner for the newer AI6 chip.
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
