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Tesla updates Supercharger pricing structure, rolls out in-car payment feature
Tesla has updated the pricing structure for its Supercharger network, including terms for its existing idle fee policy. The idle fee update will impact all Model S, Model X, and Model 3 drivers that utilize the company’s high-powered, global charging network, regardless of whether they are enrolled in free unlimited Supercharging or not.
Supercharger idle fees, first introduced in late 2016 as a means to deter vehicle owners from occupying a charging stall when the vehicle has already met its intended state of charge, have been updated to further encourage owners to move their vehicles from stalls and improve the Supercharging experience for all drivers. Tesla has updated the flat idle fee of $0.40/minute to take into account station occupancy, as follows:
Supercharger Idle Fee
(updated September 19, 2018)
- Supercharger 50% occupied: $0.50/minute idle fee
- Supercharger 100% occupied: $1.00/minute idle fee
Tesla notes in its Supercharger FAQ that drivers will be granted a 5-minute grace period during which time a fee will not be incurred. Once this grace period passes, the driver will be charged for the 5-minutes and each additional minute after that. Vehicle owners will continue to receive reminders through Tesla’s app when the vehicle is nearing its intended state of charge.
In-car Payment
Additionally, Tesla has begun to roll out an over-the-air software update (not Version 9) that will include a new in-car payment feature. The new functionality will provide Model S, Model X, and Model 3 owners who leverage pay-per-use Supercharging with the ability to pay from within their vehicle, by inputting credit card information directly into the center touchscreen. The feature will also enable drivers to pay for any incurred idle fees.
The in-car payment functionality is an extension of the credit card section within an owner’s Tesla Account page, or previously known as the MyTesla page. Credit card information entered through the in-car payment feature will automatically be registered to the vehicle owner’s Tesla account and also serve as payment for any incurred idle fees or Supercharger use fees.
Also introduced in today’s Supercharger pricing structure update is a $50.00 cap wherein Supercharger access will automatically be disabled if there’s an outstanding balance due for Supercharger fees, either incurred through idle fees or Pay Per Use, and when a credit card is not on file. Supercharger access will instantly re-enable once the balance is paid. Tesla will also have the ability to grant Supercharger access to a vehicle, remotely, in the event of an emergency.
The pricing update and software release are being implemented in North America first, followed by a global rollout.
It’s About the Greater Good
Although the latest Supercharger update may be unwelcomed by some Tesla owners that have previously benefitted from the company’s good faith gesture to extend its charging network, largely unenforced, to its drivers, the change is an improvement to its policy that has a significant benefit to the overall community.
When the Silicon Valley-based electric carmaker first created its Supercharger network, the intention was to make long-distance travel an enjoyable and seamless experience for all drivers. But as Supercharger abuse became more rampant, combined with a massive increase in the number of Model S, Model X and Model 3 on the roads, being able to institute some sort of Supercharger fair-use enforcement policy became desperately needed. This is in spite of Tesla’s continued global scale out of its Supercharger and Destination charging network.
A Model X spotted occupying three Supercharger stalls at the Newark, DE Supercharger station went viral in 2016 after sparking outrage across the Tesla community.
Related: Calling all Tesla Supercharger abusers: Don’t ruin it for the rest of us
Today’s update to Tesla’s Supercharger policy will undoubtedly be one of many in the years to come, as the company continues to adjust and iterate toward a customer experience-focused model that’s also financially feasible.
A Tesla spokesperson tells Teslarati, “Based on feedback from the Tesla owner community, we are adjusting the idle fees associated with our Supercharging program to continue providing the best Supercharging experience as the size of our fleet grows. As has always been the case, our Supercharging and associated fees charged on the network are not meant to be a profit center for Tesla, and we hope to never need to bill for idle fees.”
More information can be found on Tesla’s Supercharger page.
Elon Musk
Elon Musk’s xAI bets $20B on Mississippi with 2GW AI data center project
The project is expected to create hundreds of permanent jobs, dramatically expand xAI’s computing capacity, and further cement the Mid-South as a growing hub for AI infrastructure.
Elon Musk’s xAI plans to pour more than $20 billion into a massive new data center campus in Southaven, Mississippi, marking the largest single economic development project in the state’s history.
The project is expected to create hundreds of permanent jobs, dramatically expand xAI’s computing capacity, and further cement the Mid-South as a growing hub for AI infrastructure.
xAI goes MACROHARDRR in Mississippi
xAI has acquired and is retrofitting an existing facility in Southaven to serve as a new data center, which will be known as “MACROHARDRR.” The site sits near a recently acquired power plant and close to one of xAI’s existing data centers in Tennessee, creating a regional cluster designed to support large-scale AI training and inference.
Once completed, the Southaven facility is expected to push the company’s total computing capacity to nearly 2 GW, placing it among the most powerful AI compute installations globally. The data center is scheduled to begin operations in February 2026.
Gov. Tate Reeves shared his optimism about the project in a press release. “This record-shattering $20 billion investment is an amazing start to what is sure to be another incredible year for economic development in Mississippi. Today, Elon Musk is bringing xAI to DeSoto County, a project that will transform the region and bring amazing opportunities to its residents for generations. This is the largest economic development project in Mississippi’s history,” he said.
xAI’s broader AI ambitions
To secure the investment, the Mississippi Development Authority approved xAI for its Data Center Incentive program, which provides sales and use tax exemptions on eligible computing hardware and software. The City of Southaven and DeSoto County are also supporting the project through fee-in-lieu agreements aimed at accelerating development timelines and reducing upfront costs.
Founded in 2023 by Elon Musk, xAI develops advanced artificial intelligence systems focused on large-scale reasoning and generative applications. Its flagship product, Grok, is integrated with the social media platform X, alongside a growing suite of APIs for image generation, voice, and autonomous agents, including offerings tailored for government use.
Elon Musk highlighted xAi’s growth and momentum in a comment about the matter. “xAI is scaling at an immeasurable pace — we are building our third massive data center in the greater Memphis area. MACROHARDRR pushes our Colossus training compute to ~2GW – by far the most powerful AI system on Earth. This is insane execution speed by xAI and the state of Mississippi. We are grateful to Governor Reeves for his support of building xAI at warp speed,” Musk said.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
Elon Musk’s xAI bets $20B on Mississippi with 2GW AI data center project
Tesla AI Head says future FSD feature has already partially shipped
