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Tesla announces new Supercharger pricing model: fee per kWh and tiered by power

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9 years ago

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Tesla has announced an update to its Supercharger program that involves a new pricing model billed per kilowatt-hour or through a two-tiered pricing structure that will be based on charging power and duration of use, depending on region-specific regulations.

Though the preferred pricing model is billed per kilowatt-hour, says Tesla through its blog post, some regions prevent non-utility companies from selling energy to consumers. In these instances, Tesla will charge a Supercharger fee billed per minute of use as opposed to by the kilowatt-hour. Vehicles that charge at or below 60 kW will fall into “tier 1” and billed at half the cost of “tier 2”. Tesla cars charging above 60 kW will fall under the “tier 2” pricing structure.

Today’s update to Tesla’s Supercharger program follows a recent announcement made by the Silicon Valley-based electric car company that it will impose a $.40 per minute idle fee on vehicles that remain plugged in after it has already reached its charging limit.

“We designed the Supercharger network to enable a seamless, enjoyable road trip experience. Therefore, we understand that it can be frustrating to arrive at a station only to discover fully charged Tesla cars occupying all the spots. To create a better experience for all owners, we’re introducing a fleet-wide idle fee that aims to increase Supercharger availability.”, said Tesla through a press release last month.

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All Tesla vehicles ordered after January 15, 2017 will continue to receive 400 kWh of free Supercharger credits per year, which is equivalent to approximately 1,000 miles of long-distance driving. Any usage exceeding 400 kWh will incur a usage fee that will either be charged per kilowatt-hour or by the minute. Rates within North America will vary by state or province, while Tesla Supercharger use overseas will incur a fixed rate set by country.

Tesla notes that it does not intend to profit from the new fee structure. Rather, the company is only looking to recover a portion of the costs and set up a fair system for everyone.

Example of Supercharger fees by state

  • California – $0.20 per kWh
  • Connecticut
    • $0.26 per minute for tier 2
    • $0.13 per minute for tier 1
  • Florida – $0.13 per kWh
  • Georgia
    • $0.16 per minute for tier 2
    • $0.08 per minute for tier 1
  • Massachusetts – $0.22 per kWh
  • New Jersey
    • $0.20 per minute for tier 2
    • $0.10 per minute for tier 1
  • New York – $0.19 per kWh
  • Pennsylvania
    • $0.20 per minute for tier 2
    • $0.10 per minute for tier 1

We’ve provided Tesla’s full announcement below, which also includes a link to the full list of charging fees by region.

Building the Supercharger Network for the Future

Tesla created the Supercharger network to make long-distance travel a seamless experience for drivers. Cars have always represented independence and the freedom to travel wherever and whenever people want to go. To enable this freedom, building a charging network that provides quick, convenient, and long-distance travel is critical to the adoption of electric vehicles. One of our top priorities this year is to significantly increase capacity of our Supercharger network.

In November, we announced a change in the Supercharger program that allows us to reinvest in the network, accelerate its growth, relieve congestion, and bring all Tesla owners, current and Model 3, the best Supercharging experience. Tesla Model S and Model X cars ordered after January 15, 2017 will receive 400 kWh (kilowatt-hour) of free Supercharging credits (roughly 1,000 miles) annually on the anniversary of their delivery. We carefully considered current Supercharger usage and found that 400 kWh covers the annual long-distance driving needs of the majority of our owners. As a result, most owners will continue to enjoy the benefits of Supercharging on road trips at no additional cost.

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If customers travel beyond their annual credit, they will be charged a small fee to Supercharge. In North America, pricing is fixed within each state or province; overseas, pricing is fixed within each country. In most regions, Tesla owners will pay per kWh as it’s the fairest way to pay for the exact energy used. However, due to local regulations, in several regions we will charge per minute of usage instead, though we are actively working with regulators to update the rules. What’s important is that in every region, Supercharging will remain simple, seamless and always significantly cheaper than gasoline. We are only aiming to recover a portion of our costs and set up a fair system for everyone; this will never be a profit center for Tesla. Customers can just plug in, charge up, and access their charging history on our website.

To put the affordability of Supercharging into perspective, customers will pay about $15 for a road trip from San Francisco to Los Angeles, about $120 from Los Angeles to New York, about €60 from Paris to Rome, and about ¥400 from Beijing to Shanghai.

We are excited to continue the expansion of the world’s fastest and most sophisticated charging network. Additional program details are available here.

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Gene has been obsessed with cars since before he could legally sit in the front seat. Writer, researcher, unofficial CS support, accountant, native suit guy when needed, and overall stick poker. He approaches every story the way he approaches a road trip: with too much enthusiasm, not enough planning, and a surprisingly good outcome. gene@teslarati.com

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Tesla responds to Robotaxi skeptics with a massive move in Austin

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26 minutes ago

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June 3, 2026

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Credit: @AdanGuajardo/X

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:

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.

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Tesla expands Robotaxi geofence, but not the garage

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.

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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.

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Tesla improves Dashcam playback with awesome addition

Published

20 hours ago

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June 2, 2026

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Image Credit: The Kilowatts/Twitter

Tesla has improved Dashcam playback with an awesome new addition, as the company has launched a web-based version that is potentially easier to navigate and operate.

The tool is available at dashcam.tesla.com and will be enabled as your vehicle receives the 2026.20 Software Version. Clips that are captured by your Tesla will be available on the Online Dashcam Clip Viewer once the files on your car’s storage drive are encrypted.

Not a Tesla App first noticed the new feature, and states that once your Tesla updates to 2026.20, the car will automatically protect the clips with an encryption key that is uniquely tied to your owner account.

The web-based viewer should be easier to operate for most. All you will do is head over to dashcam.tesla.com and log in using your account credentials.

Ensure your vehicle is updated to 2026.20 in order for the web-based viewer tool to fetch your vehicle’s saved dashcam clips.

Currently, only a small percentage of owners are updated to this, so it may be a couple of weeks until a majority of owners in the fleet are able to access this feature.

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Watching Dashcam clips on the Tesla smartphone app is quick and convenient, as they can also be easily downloaded and stored right on your smartphone.

However, the clips are sometimes tougher to navigate, and in order to get details like self-driving activation, speed, and turn signals, owners have to screen record the Tesla app and crop out the rest of the screen.

It could also be a massive storage saver as you’ll be able to download the Dashcam clips from the online viewer and save them to your laptop, desktop, a flash drive, or even an external hard drive. This will keep all your clips in one place.

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Tesla Full Self-Driving attempts 150-mile stress test: the good and the bad

Published

22 hours ago

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June 2, 2026

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Credit: TESLARATI

I recently took my Tesla Model Y running Full Self-Driving (Supervised) v14.3.3 over 150 miles on the Pennsylvania Turnpike in an effort to truly put the system under a stress test. There were a lot of good moments, and some bad, but overall, Full Self-Driving impressed me.

Last Thursday, I decided it was time to visit the Flight 93 National Memorial near Shanksville, PA. I go a few times a year, and it was a beautiful day. Others have taken some pretty lengthy drives using FSD, but I haven’t had the opportunity to really do something lengthy in quite a few months on an older version. I decided it was the perfect opportunity to try some things out.

I recorded the entire ride there on a GoPro, edited to highlight the crucial moments, and shared them on our social media accounts. If you want to watch them, I’ll share them throughout the piece, but I did not get to do a real breakdown of what I felt about its performance.

Overall Thoughts

I realize it is probably better to do a summation of its performance toward the end of the piece, but I feel like it is also reasonable to lead with this because I was overly impressed with how well it handled everything. The only moments where I felt a little bit of reason to touch the wheel, at least while traveling on the Turnpike and Rt. 30, were due to other drivers and their behaviors.

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I have taken many drives to the Memorial over the past several years, and although it’s not incredibly long, it is a tiring drive. It’s about five hours both ways, close to 300 miles, and I think most of the exhaustion comes from the toll of sitting in the car and then visiting something that is pretty heavy to take in.

This was the first time I’ve ever taken the ride and not felt like I needed to avoid my vehicle after I got home. In the past, I could not even think about driving after I finally arrived at my house, but this was simply different.

It was nice to have something else take the drive for me, while I still had the freedom to take over if I chose to. It made the entire trip more enjoyable.

Full Self-Driving Recognizes Lane-Ending Arrows on Road

After traveling in the fast lane for a little while, FSD noticed the arrows on the road indicating the lane was coming to an end ahead. The car was also in the process of making a pass on a slower vehicle in the middle lane, but aborted this maneuver and backed off to get behind the vehicle.

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I was really impressed by this because I thought that the car would absolutely try to make the pass, only to get in front of the other car, and then slow back down to 75 MPH:

Full Self-Driving Notices Veering Tractor Trailer, Adjusts Lane Positioning

My two rules of the road are never cruise in the fast lane and never drive next to a tractor-trailer. This clip is a perfect example as to why.

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FSD v14.3.3 recognized this tractor-trailer attempting to change lanes while we were still next to it. The car shifted its lane positioning to the shoulder slightly to make room for the merging semi, executed the pass safely, and on we went.

I will admit this one made me a little nervous, but more so because of the 18-wheeler, and not because of the Tesla:

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Full Self-Driving Follows the Rules of Tunnel Travel

Many people who are not familiar with Full Self-Driving and its capabilities are pretty limited in what they know about the really simple things it does well. Part of supervising FSD is being aware of things it might make mistakes with, and anticipating maneuvers it might want to make at the wrong time.

Entering the Blue Mountain Tunnel on the Turnpike, I was ready for FSD to attempt to get back into the right lane after making a pass on a tractor-trailer, but I was pleasantly surprised. Several signs outside the tunnel advise drivers to stay in the lane they’ve chosen while driving through the tunnel; this eliminates the possibility of an accident caused by lane changes, which would impede traffic on a crucial logistics route.

I was happy to see that Tesla Full Self-Driving v14.3.3 did not make this mistake:

Full Self-Driving Navigates Toll Plazas with Ease

I was interested to see how FSD would handle toll plazas, including the speed at which it would travel through them, and whether it would stop on the Turnpike at these booths, which have since been transitioned to a “Toll by Plate” system, which mails you a bill.

It was flawless:

Full Self-Driving Still Struggles with Parking from Time to Time

Since I took delivery in late August, I’ve never had a single instance of my Tesla struggling to park at a Supercharger. Other spots at the mall, market, or gym are another story.

This was the first time it did such a terrible job of backing into a spot. This required me to take over and manually park at another charger:

Full Self-Driving Gets Confused After Arriving at Its Destination

This was the first time I have ever experienced FSD getting confused and just circling the lot. The navigation continued to reroute to try to resolve the issue, but after four laps, I decided it was time to overtake the car’s controls and park manually:

This was a baffling behavior that I truly couldn’t explain. Other owners communicated that they have also experienced this issue.

Final Thoughts

I am so incredibly impressed by FSD that it has really made traveling stress-free. The two issues related to parking were not ideal, but to be fair, I usually take over when arriving at parking lots. However, this shortcoming is something Tesla has to make some serious progress with, because parking has truly stumped FSD at times.

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Solving that will be a major breakthrough for autonomy, but Tesla has struggled with it for some time.

All in all, FSD v14.3.3 is unbelievably accurate and handles many of the more stressful maneuvers with ease, one of them being avoiding merging traffic on highways, which was shown above.

Some things that would be great to see improvements on are parking, Speed Profiles, which are relatively tough to adjust (I stayed in Standard for the duration of this drive), and, of course, navigation.

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