News
Tesla delivers its 200,000th car, triggering the EV tax credit phase-out period
Tesla has delivered its 200,000th vehicle this month, triggering the phase-out period of the $7,500 federal tax credit for electric vehicles offered in the United States.
As seen on Tesla’s official Electric Vehicle Incentives page, the phase-out period for the $7,500 federal tax credit is in effect for all Model S, Model X and Model 3 vehicles delivered on or before December 31, 2018, while buyers taking delivery in 2019 will only be eligible for a subset of that original $7,500 credit. Customers taking delivery between January 1 to June 30, 2019 will be eligible for a $3,750 federal tax credit, or half of the full amount before phase-out. Those taking delivery in the second half of 2019, between July 1 to December 31, 2019 will be eligible for a $1,875 federal tax credit.
The federal credit applied to new electric vehicles, dubbed by the IRS as the Plug-In Electric Drive Vehicle Credit (IRC 30D), affects all EVs that were acquired after December 31, 2009. The credit, which took effect during the previous administration as a means to encourage drivers to adopt zero-emissions vehicles, featured a tiered credit, starting at $2,500 and going all the way up to $7,500 depending on the battery capacity of an electric car. The IRS’ official website describes how the sale of a manufacturer’s 200,000th electric car triggers the tax credit phase-out period.
“The qualified plug-in electric drive motor vehicle credit phases out for a manufacturer’s vehicles over the one-year period beginning with the second calendar quarter after the calendar quarter in which at least 200,000 qualifying vehicles manufactured by that manufacturer have been sold for use in the United States (determined on a cumulative basis for sales after December 31, 2009) (‘phase-out period’).”
Tesla actually played its cards cleverly with regards to the $7,500 tax credit phase-out. Being a car company that exclusively manufactures electric cars, it was inevitable that the company would be the first automaker to hit the 200,000 mark. By reaching this milestone shortly after the second quarter, Tesla actually gave itself, as well as its customers, an additional 18 months to obtain any sort of credit. the $7,500 credit remains in effect for the whole quarter in which the 200,000th vehicle was delivered, as well as the quarter after.
After this point, the credit gets reduced by 50% to $3,750 for two quarters. In Tesla’s case, this corresponds to Q1 and Q2 2019. From Q3 and Q4 2019, Tesla’s vehicles will still be eligible for a tax credit, though it would be reduced to $1,875 by this time. Tesla’s electric cars produced from January 2020 moving forward will not be eligible for tax credits anymore.
In a way, Tesla’s timing for hitting the 200,000 mark appears to be strategic. The company, after all, just recently managed to attain its goal of producing 5,000 Model 3 per week by the end of Q2 2018. Signs from the company, such as test drives for the Model 3, massive batches of new VINs filed one after another, and a new 5-minute Sign & Drive delivery system, all seem designed to deliver as many of the electric cars to customers as fast as possible.
If there is a group of reservation holders that would feel the effect of the credit phase-out, however, it would be those holding out for the Standard Range RWD Model 3, which starts at $35,000. In a Twitter update, Elon Musk stated that Tesla would likely start the production of the base Model 3’s smaller battery pack by the end of 2018. From there, Musk noted that volume production for the vehicle would probably begin in Q1 2019.
In a meeting with investors and analysts this past Tuesday, Tesla’s Senior Director of Investor Relations Aaron Chew reportedly stated that the company is aiming to sustain its 5,000 per week pace for Q3 2018, increasing output to 7,000 cars per week for Q4 2018. By mid-2019, Tesla expects to produce 10,000 Model 3 per week, which corresponds to an output of 500,000 vehicles per year.
If Tesla manages to sustain its 5,000 Model 3 per week rate from August to September 2018, and achieve a steady rate of 7,000 vehicles per week from October 2018 to June 2019 (assuming no production ramps happen within these months), the company would be able to produce 292,000 Model 3. With a 10,000 per week rate from July to December 2019, Tesla would be able to deliver an additional 240,000 more. Thus, if Tesla plays its cards right and ramps the Model 3 in a manner that is careful and precise, it could deliver as many as 532,000 cars that are still eligible for federal credit (albeit the $3,750 and $1,875 credit). Considering that the backlog of 420,000 remaining Model 3 orders are from customers across the globe, there is a good chance that all present reservation holders in the United States would be able to get a credit for their vehicle.
Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.
This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.
The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.
Tesla supplements Holiday Update by sneaking in new Full Self-Driving version
Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.
Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.
Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.
Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.
Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.
In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.
As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.
With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.
Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.
The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:
“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”
However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.
I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.
The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.
Hurry Mode Results
On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:
Roughly :31 between first touching the center screen and getting the first nag
— TESLARATI (@Teslarati) June 3, 2026
Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.
Here’s an 80-second phone nag test on Tesla FSD v14.3.3.
No alerts, no nagging, no annoyance. https://t.co/1dxvTOw5Cn pic.twitter.com/vYViFpjfoK
— TESLARATI (@Teslarati) May 29, 2026
Mad Max Results
I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.
With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nags on Mad Max https://t.co/qZALU2OujY pic.twitter.com/XddOJ0D47x
— TESLARATI (@Teslarati) June 3, 2026
As well as adjusting Navigation, when I received two nags:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nag while adjusting navigation
Two nags here https://t.co/qZALU2OujY pic.twitter.com/xa3dtaDG1L
— TESLARATI (@Teslarati) June 3, 2026
These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.
These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.
You can watch the full drive on YouTube below:
Tesla has responded to the skeptics of its Robotaxi program by launching a massive expansion of the unsupervised program in its initial rollout city of Austin.
The company’s geofence, the enabled area of operation for rides, now covers the entire Austin Metropolitan area, an incredible move just days after media headlines attempted to discredit the ride-hailing service.
Those who have access to the Tesla Robotaxi app on their smartphones can now request a ride in any portion of the Austin Metro area. The company confirmed this on the social media platform X:
Unsupervised Robotaxi now in the entire Austin Metro area https://t.co/eXNBdarvVS
— Tesla Robotaxi (@robotaxi) June 3, 2026
This is Tesla’s fifth expansion of the geofence, with the others occurring in July, early August, late August, and late October 2025. It has remained at that size since October 26, but Tesla has now more than doubled that size.
It is now covering the entire area, including suburbs like Pflugerville and Manor, as well as I-35 highways, Gigafactory Texas, and the Austin-Bergstrom Airport.
The move comes just days after various media outlets highlighted the small fleet size of Tesla’s Robotaxi fleet in Austin, something that is a reasonable criticism but an understandable move on the company’s part to prioritize safety.
Tesla has expanded its Robotaxi geofence many times, but its fleet has remained at a relatively conservative size as the company continues to push safety as its most crucial metric.
The latest expansion is a key indicator of Tesla’s comfort level to expand the ride-hailing service. The move shows Tesla is scaling unsupervised autonomy, as it demonstrates that the company’s Full Self-Driving system has reached sufficient reliability for a broader real-world deployment, which is something the company has worked on extensively.
It also shows Tesla is game for a competition with its rivals in the autonomous ride-hailing sector. Tesla has often matched or exceeded competitors like Waymo in coverage area, despite its smaller fleet. This step highlights Tesla’s iterative, data-driven progress toward a high-margin, app-based Robotaxi network.
It’s not the absolute largest area expansion ever, but achieving full unsupervised operations across a major metro is a key moment in the Robotaxi story. It shifts the program from limited pilot/testing toward a more mature commercial service, while gathering the miles needed for faster growth.
Tesla piggybacks recent Supercharger feature with update that takes it further
Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it
