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How Tesla Model 3 Performance stacks up against track legends in its class
This past weekend, Tesla CEO Elon Musk revealed the price and specifications of the Model 3 Performance with Dual-Motor AWD. According to Elon Musk, the Model 3 Performance will cost $78,000 with all options except Autopilot. The vehicle has a top speed of 155 mph, is capable of sprinting from 0-60 mph in 3.5 seconds, and is capable of traveling 310 miles on a single charge.
With Autopilot and Full Self-Driving added, the cost of the Model 3 Performance shoots up to $86,000, and with the possibility of an upcoming Ludicrous Mode upgrade ($7,500 for the Model S P85D and $10,000 for the Model S P90D), the price of the vehicle would likely be dangerously close, or even surpass the $90,000 barrier. While these prices are a far departure from the car’s $35,000 base price, they are, nevertheless, reasonable.
One thing to note when looking at the Model 3 Performance is Tesla’s target demographic. The vehicle is being marketed to car enthusiasts who are looking for a high-performance vehicle that is quick off the line and nimble on the corners. A clue regarding this could be found on Elon Musk’s own statements on Twitter.
Cost of all options, wheels, paint, etc is included (apart from Autopilot). Cost is $78k. About same as BMW M3, but 15% quicker & with better handling. Will beat anything in its class on the track.
— Elon Musk (@elonmusk) May 20, 2018
Musk’s specific mention of the Model 3 Performance’s capabilities on the track is particularly noteworthy. Tesla’s electric cars, such as the Model S P100D, after all, have largely been formidable in straight-line races, but not so much in extended track driving. As could be seen in instances of the Model 3 being driven on a track, however, this particular limitation does not seem to exist in Tesla’s newest vehicle.
Earlier this year, the Model 3 was taken to the Laguna Seca Raceway, where it completed nine laps without limiting its power. Last month, a Model 3 took on an Autocross course, where it performed equally well without any heating issues. Earlier this month, a Model 3 took on another course, showing off its acceleration and cornering in a quick lap. All these vehicles performed far better on the track than the Model S or Model X. None of them were specifically tuned for performance.
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With the Model 3 Performance, Tesla is trying to breach into the track driving market. Musk’s tweet specifically mentioned the BMW M3 — a legend on the track — stating that the Model 3 Performance will be roughly 15% quicker. This places the Model 3 Performance in the same league as the Mercedes AMG C 63 S Coupe, Audi RS5, and of course, the BMW M3. Compared to the cost of the fully-loaded options for these vehicles, the compact electric car is actually more affordable.
Take the Mercedes AMG C 63 S Coupe, for example. A fully-loaded version of the car costs just slightly over $106,000. A fully-loaded BMW M3? $91,759. As for the Audi RS5, a fully-loaded version will set back owners $93,325. With this in mind, the Model 3 Performance’s $78,000 price is actually a pretty good steal.
Specs-wise, the Mercedes AMG C 63 S Coupe is equipped with a twin-turbocharged and intercooled DOHC 32-valve V8 engine. The vehicle has a top speed of 180 mph and is capable of sprinting from 0-60 mph in 3.8 secs. The BMW M3, on the other hand, is equipped with a twin-turbocharged and intercooled DOHC 24-valve inline-6 engine. This gives the BMW M3 a top speed of 163 mph and a 0-60 mph time of 4.0 seconds. As for the Audi RS5, the high-performance vehicle is fitted with a twin-turbocharged and intercooled DOHC 24-valve V6, which gives the car a top speed of 174 mph and a 0-60 mph time of 3.9 seconds.
When looking at the Model 3 Performance, it is pertinent to note that Tesla is not marketing the vehicle to the same demographic as the electric car’s $35,000 standard range version. The base Model 3 is designed to be an affordable electric car that is as stylish as it is capable. The Model 3 Performance is a vehicle designed to to be comparable to some of the best cars in its class. Apart from sharing the same frame and the same interior, the $35,000 base Model 3 and the $78,000 Model 3 Performance are two electric cars that could not be any more different.
Tesla has started rolling out a broader change to the ride experience for its Robotaxi fleet by silencing turn signals, but the change is certainly polarizing.
Tesla has generally made it clear that its purpose-built ride-hailing platform, Robotaxi, will cater to the rider in nearly every way possible. This includes having climate preferences, music, and other personal settings loaded up in the car as the rider enters.
But Tesla is taking it a step further by muting turn signal chimes altogether, a change that appears to be a way to make the ride more peaceful:
Tesla has finally turned off the blinker/turn signal noises in their Model Y Robotaxis.
This is a small update, but will definitely be noticeable for riders. It didn’t really make much sense to leave the turn signal sound on when it’s Unsupervised. pic.twitter.com/ITwx60PAMO
— Sawyer Merritt (@SawyerMerritt) July 27, 2026
However, there are a handful of people who are not thrilled about this change. Turn signals are a conditioned part of the human mind for those who ride in a car regularly.
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Taking a turn without one feels strange and odd, and not hearing it click while activated could set off some alarms for riders, who might use the noise as confirmation that other drivers know of their intention to turn.
I kind of like it being on, threw me off when riding with Zoox who has had it disabled
— Dan Burkland (@DBurkland) July 27, 2026
Turn signal noises are still audible in customer cars, so if you use FSD in your personal vehicle, you will still hear the turn signal.
The move is certainly one that is unique, but not one that separates it from other ride-sharing services. In a normal car, the clicking sound confirms to the driver that the blinker is active. In a fully driverless Robotaxi, that feedback serves no purpose for passengers, other than peace of mind.
Tesla released Full Self-Driving version 14.3.6 last week, and after what was potentially one of the best FSD releases in v14.3.5, there has been a bit of a regression. While there are some bright spots, the changes made to v14.3.6 seem to have backtracked some behaviors.
Overall, it is hard to really complain about FSD in any sense; it has revolutionized how I travel literally anywhere. According to my self-driving app, the last time I went a day without using it was 59 days ago.
However, I think it’s also important to recognize when things are just plain bad with FSD. There are times it does truly mind-boggling things, and I’ll dive into those here. Additionally, I only had these issues on local roads, not on highways. Highway operation, generally, is always incredible other than the occasional complaint about speed or left lane camping.
With those things being said, my personal experience may not represent others’ experiences. A handful of people have said they have had a similar experience on v14.3.6, while others have said it is more than normal.
Turning Hesitancy, Inaccuracy
I’ve noticed more inaccuracy turning into multi-lane stretches of road than in any version I can remember. I’ve had at least three instances of FSD turning into a stretch of roadway that has two or more lanes, and not selecting a lane confidently as it has in past versions.
I think Tesla FSD v14.3.6 is a regression from previous .3 branches
This version in particular has been incredibly hesitant, jerky, and indecisive at times. There’s actually been two drives that I have decided to not used FSD for the remainder of the trip. These were local trips… pic.twitter.com/YobHDOKRS6
— TESLARATI (@Teslarati) July 26, 2026
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Instead, the car will drive over one of the dashed road lines, and the steering wheel will jerk back and forth before picking the lane. It should be said that it has always picked the correct lane when choosing based on the navigation, but it is still very indecisive. The steering wheel jerking is reminiscent of some of the later versions of v13.
I admit I really hate to see the steering wheel jerking come back. However, I think when Tesla releases v14.3.7, it won’t be present. When there are occurrences of it in FSD versions, it is usually resolved by the following release.
FSD Disregards Manual Turn Signals
This is my biggest bone to pick with FSD other than Navigation issues, but this one seems like it would be such an easy fix.
If Tesla is going to put the word “Supervised” on the end of “Full Self-Driving,” then when I tell the car to do something, it should do it. If I input an increase in speed by pressing the accelerator, the car will immediately respond. It does not disregard my input because it feels it is traveling at the right speed.
FSD should never disobey and turn off turn signals that the driver inputs. Trying to direct the car into the correct lane, I had initiated the left turn signal not once, not twice, but three times, with the car turning it off all three times and continuing in a lane that would end in just one block. The only solution at this point would be to zipper merge.
This goes back to the fact that self-driving’s biggest bottleneck might be rider preference. A zipper merge might have been more than reasonable, might have saved me time that I spent sitting through an additional light cycle, and might be something many drivers would do. I was in no hurry, I traditionally do not try to zipper merge because it feels inconsiderate, and lastly, the car should have just followed my input.
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This caused me to disengage and drive manually the rest of the way home. Sometimes I just do not need FSD to try to pass every car it can at intersections.
Bird Braking is a Thing of the Past
The big complaint with recent versions of Full Self-Driving has been what we’ve coined as “bird braking,” which is when the car will brake suddenly as a bird flies past.
There have been zero issues with this so far in v14.3.6, which is an excellent improvement.
FSD Might Already Be Taking Note of Driver Preferences
Another thing I have noticed over the past few days is that v14.3.6 seems to already be taking my preferences with navigation into account.
This is something that is supposed to be rolling out with the Summer Update, but I have a hunch it’s already present and might have been included in this v14.3.6 build. On Friday, FSD pulled into an entrance to a local convenience store that it had never attempted to go into before.
Typically, I manually pull into this entrance because it avoids heavy cross traffic at the main entrance. FSD has always chosen that congested main entrance.
I don’t want to get anyone excited but my Tesla running FSD v14.3.6 just:
✅ Pulled into an entrance at my local Sheetz that I routinely pull into manually but FSD never has entered
-✅ Pulled into my assigned parking space at home despite many other spots being vacant https://t.co/ZUShvknTWO pic.twitter.com/83O5a2S0eh
— TESLARATI (@Teslarati) July 24, 2026
Additionally, FSD has pulled into my assigned parking spot at my townhouse community on multiple occasions with this release. This is something that used to happen ocassionally, but not consistently.
It also navigated back to the same convenience store last night, drove through crazy cars scrambling to gas pumps, navigated out of the parking lot correctly, drove me home, and, once again, parked in my assigned spot.
As previously stated, this release just seems to have a few things that need to be brought to Tesla’s attention, and also to make others who use FSD aware of some things that I’ve experienced. I look forward to the next release that will remedy these issues, just as Tesla has always done in the past.
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Elon Musk’s massive Terafab project, which will be the first true conglomeration between each of his major entities, is set to get its final location soon, the CEO said on Tesla’s recent earnings call.
“The Terafab, we expect to announce a location soon, and provide more details about our plans in that regard. We’ll leave that to the product, the launch announcement rather than try to squeeze it into an earnings call,” Musk said last Wednesday.
Tesla Terafab set for launch: Inside the $20B AI chip factory that will reshape the auto industry
Terafab was announced by Musk back in March and was essentially a massive, vertically integrated semiconductor manufacturing project that would provide all the chips the three companies needed for their AI initiatives without needing third-party companies.
The plant will produce over 1 terawatt of AI compute each year, and will help back up projects like Optimus, Full Self-Driving, and other AI-based projects that Musk’s companies are working on.
In April, less than a month after the project was launched, Intel announced it would join the project, contributing manufacturing expertise and consulting to Terafab as a whole. Intel is one of three chip manufacturers that produce sub-5 nanometer chips at scale. TSMC and Samsung are the other two.
However, there was no true indication of where Terafab would end up, but most believe it will likely be somewhere in Texas. Business Insider has reported that SpaceX plans to build out Terafab in Grimes County, Texas, but this is unconfirmed.
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Musk confirmed recently that it would not be on Giga Texas property, as it is simply too large.
The sheer scale of TERAFAB is going to be insane.
Elon said it wouldn’t be suitable for anywhere on Giga Texas property because it’s too big:
“We couldn’t possibly fit the Terafab on the GigaTexas campus. It will be far bigger than everything else combined there.
Several… pic.twitter.com/79GbhNNuf4
— TESLARATI (@Teslarati) March 23, 2026
Terafab holds much of Musk’s grand ambitions for the future within its construct. It holds so much responsibility for the future and the biggest projects that Musk’s companies can imagine.
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“I think this is a very big announcement and it deserves to have its own day in the spotlight and not be squeezed into an earnings call,” he said. “I do think Terafab is going to be an amazing initiative and a necessary one, and one without which we will be constrained in our ability to scale Optimus production, because we simply won’t have enough AI chips.”
He continued by stating that Terafab is necessary for scaling Optimus, which Musk said could be the biggest product of any kind of all time. “It’s crucial to solve that, and we’ll have to solve memory, logic, and packaging in order to scale Optimus.”
Tesla silences Robotaxi turn signals in sweeping but polarizing change
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