News
Tesla Model Y from Giga Texas is just one EPA approval away from first deliveries
Hundreds of Tesla Model Y all-electric crossovers have been spotted in the lots of Gigafactory Texas in the past few weeks, with some being spotted on haulers to be driven to destinations not known. However, haulers will likely be back soon for another logistics mission: to pick up the “Austin-made” Model Ys and take them to customers for delivery.
Tesla will be able to begin delivering units of its Austin-made Model Y all-electric crossover from Gigafactory Texas following the EPA approval of the vehicle, the agency told Teslarati. Currently, the Model Y from Gigafactory Texas is being produced with Tesla’s newest 4680 battery cells and new structural battery pack, has not gained its Certificate of Conformity, a document needed for a vehicle to be introduced into commerce.
Certificates of Conformity are effectively approval by the EPA that a vehicle can enter the stream of commerce. If it is introduced into commerce, the vehicle must have a Certificate of Conformity. The certifications are valid for a single model year, and new model year vehicles make their way to the EPA’s testing facility in Ann Arbor, Michigan every year to confirm they align with the EPA’s emissions standards.
“Prior to offering a vehicle for sale, all carlines in the Light-duty sector must be certified and Fuel Economy test data representing each model type must be submitted to EPA,” the EPA said to Teslarati in a statement. “EPA can confirm that Tesla has received a Certificate of Conformity for the 2022 Model Y Long Range AWD, Model Y Performance AWD (Test Group NTSLV00.0L2Y) and a Certificate for the Model Y RWD (Test Group NTSLV00.0L1Y).” These test groups were certified by the EPA last year, with the 2022 Model Y Long Range AWD and Performance variants gaining their Certificate of Conformity on November 1, 2021. It does not expire until December 31, 2022. The 2022 Model Y RWD, which is the variant that Tesla ultimately did not sell, gained its Certificate of Conformity from the EPA on September 28.
(Credit: Jeff Roberts)
Tesla’s Model Y made in Austin will also be a 2022 Model Y, which would mean it would technically align with the EPA’s Certificates of Conformity, especially as the geographic location of manufacture does not determine whether a vehicle conforms to the EPA’s standards or not. “EPA does not use the build location as a descriptor for a new test group or Certificate of Conformity,” the agency said. Instead, updates in the vehicle’s battery pack can prompt the EPA to consider certifying a vehicle again, even if the changes occur to a car in the same model year. However, the changes made to the vehicle prompted the EPA to certify the Austin-made Model Y separately.
In its 2017 document titled, “EPA Test Procedures for Electric Vehicles and Plug-in Hybrids,” the agency says that Confirmatory Testing for vehicles with the same model year is determined on a case-by-case basis, and the EPA can make a choice to certify a vehicle based on the changes:
“Currently, EPA performs confirmatory testing on all new light-duty electric vehicles and plug-in hybrid vehicles at EPA’s emission testing laboratory in Ann Arbor Michigan. If the manufacturer makes changes to an EV or PHEV that was previously tested at EPA, EPA will decide on a case-by-case basis whether additional EPA confirmatory testing is needed.”
What were the changes Tesla made exactly? The EPA confirmed to us that it could not comment on the status “of preproduction vehicles that are pending new emissions certification until manufacturers introduce them into commerce,” which means the Model Y’s changes are confidential until the car earns its Certificate of Conformity. Tesla did not respond to our inquiries to clarify why the vehicle needed to go through the EPA’s conformity procedure once again. However, Tesla’s most recent Earnings Call provided plenty of color to what the changes that prompted a new certification process likely are, and it has to do with Tesla’s 4680 battery cell.
The Battery Pack likely required the EPA to certify the Model Y once again
During the Q4 2021 Earnings Call, Tesla said that “after final certification of Austin-made Model Y, we plan to start deliveries to customers.” Additionally, during the Earnings Call CEO Elon Musk stated that Tesla was “building the Model Ys with the structural battery pack and the 4680 cells, and we’ll start delivering after final certification of the vehicle, which should be fairly soon.” Read More.
Previous builds of the Model Y, even 2022 model year vehicles, which were built at the Fremont Factory, have not yet used Tesla’s 4680 battery pack or the structural battery pack. Instead, Model Ys built at Fremont in the United States have used the automaker’s previous cell chemistry, the 2170 cell. When the EPA certified Tesla’s 2022 model year vehicles in August 2021, the certifications were for the previous battery pack. Read More.
Tesla Model Y from Giga Texas will equip Structural Battery Pack, 4680 cells
The 4680 batteries differ significantly from the 2170 cell in power, range, and efficiency. Therefore, the Model Y from Texas will have ratings that are substantially different from previous builds from Fremont. The Model Y from Austin needs eMPG ratings for FuelEconomy.gov and Monroney stickers.
Once Tesla is granted a Certificate of Conformity for Model Ys that are set to be produced at Gigafactory Texas, the automaker will be able to deliver the vehicles to customers.
Documents obtained by Teslarati show Tesla’s application to have the Model Y’s AWD and Performance variants certified together, while the RWD build of the car was certified separately. The documents state that each variant of the car conformed with California Air and Resource Board (CARB) standards, as well as Federal Emissions Standards that States which do not align with the CARB standards utilize. Texas withdrew its intentions to adopt CARB standards in 2007, State documents revealed.
States that have adopted CARB standards are New York, Massachusetts, Vermont, Maine, Pennsylvania, Connecticut, Rhode Island, Washington, Oregon, New Jersey, Maryland, Delaware, and most recently, Colorado, which adopted the standards this year.
How long until the Tesla Model Y from Gigafactory Texas is approved by the EPA?
The EPA cannot predict the timing of the certification process, and it varies from vehicle to vehicle. Rough timeframes are available by determining when Tesla submitted an application for a vehicle and when the vehicle gained its Certificate of Conformity.
Tesla’s application for the 2022 Model Y Long Range AWD and Performance variants is dated for October 21, while the Certificate of Conformity is dated November 1. However, this vehicle had a previous model year and utilized the same battery pack. The timeframe may be quicker as the 4680 pack has not been previously tested by the EPA for a passenger vehicle.
When Tesla submitted its application for the 2021 Model Y, it was the first certification process for the vehicle. Tesla submitted the application on December 13, 2019, with the Model Y gaining its Certificate of Conformity about a month later on January 8.
If Tesla submitted its application for the new Model Y on January 26 when it announced it was awaiting certification, deliveries could be approved within the coming days.
4680 Battery Cell
In September 2020, Tesla held “Battery Day” to unveil a new cell and manufacturing design that would increase vehicle safety and structural integrity. Musk unveiled the 4680 cell, a new electric vehicle battery capable of more range, power, and performance while offering a longer life cycle. Tesla has been producing the cell in volume at a facility known as Kato Road near the company’s Fremont factory in Northern California. Until now, no customer has driven a Tesla vehicle equipping the 4680 cell. The Model Y built at the Texas factory will be the first Tesla vehicle to utilize the new 4680 battery pack. Read More.
The vehicle will also utilize Tesla’s structural battery pack, the automaker confirmed. The structural battery pack uses engineering similar to an aircraft wing to use negative mass to increase structural integrity and density. The packs will also use a structural adhesive and flame retardant, attaching cells to the floor and ceiling of the pack, increasing stiffness and preventing major deformation in the event of a crash. Read More.
I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.
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.
News
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
