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How Tesla’s pay per use ‘Supercharger Credits’ may work after all
Since our first report of ‘Supercharger Credits’ being discovered under a new payment section of the MyTesla page, presumably to allow Tesla owners to pre-purchase allotments of kilowatt hours for Supercharging, I’ve had sometime to think about what this might really mean to drivers. This is despite previously believing Tesla would not be instituting a pay per minute/pay per kWh option simply because I thought it would be a hassle, but I stand corrected.
Tesla will likely offer a ‘free long distance for life’ option for Model 3 owners. This option would be similar to the current offerings for Model S and Model X, and would be offered as either an up front cost to enable, an included benefit for higher priced models, or both. Might I be wrong? Surely and it wouldn’t be the first time. But I’ll say it again: I still think they will do this. They may or may not add rules or limitations to prevent abuse. That’s another topic and has been hashed out plenty. As for Model 3 owners who don’t go this route, here is what I picture when I think of the idea of Supercharger Credits.
How they work: Each successful visit to a Supercharger, regardless of minutes spent or kWh used would be equal to one credit. Keep it simple. The alternative would be to process potentially several hundred thousand Model 3 drivers with their own unique utility bill. This seems far too complicated – certainly possible, but envisioning the variables associated with keeping track of energy consumption on such a granular level, and then managing the accounting behind it, per driver, doesn’t seem like it would be the Tesla way. Plus, it’s illegal to sell energy to consumers in some States.
Having Supercharger credits based on a per single use model, perhaps even in a tiered structure (ie. usage beyond 25 kWh equals 1 credit, and so on) would allow Tesla to more easily sell credits on a mass scale.
How to start: Each Model 3 comes with some amount of credits to start. Tesla would be smart to do this because to me, the road trip experience and ease of using Superchargers is a major selling point. I’d want to entice people to keep doing it. Visibility of the cars on the road and chatting with onlookers in parking lots is more free advertising. You also hook customers to become repeat buyers or to upgrade. Or at the very least, to buy more credits. This is especially enticing for owners who may not intend to road trip often but who live more than 200 miles away from a service center or pickup location.
How to have fun: It’s your 1 year anniversary of ownership, take a trip on us! Here are 4 free credits. It’s Nikola Tesla’s birthday, 2 free credits. You just reached 50,000 gasoline free miles, 5 free credits! You get the picture.
How to take away transactional headaches: Allowing owners to upload credits in their My Tesla account ahead of time makes it easier for Tesla to administer, as well as an owner who may, for example, be flustered due to some extenuating circumstance and find themselves needing a charge. Knowing you have credits in your account and can just plug in is one less thing to worry about. I don’t know about you but I don’t have a credit card associated with my iTunes account. I much prefer to load on a $20 gift card once and draw down on it over time. I see credits working like this.
How to advertise without really advertising: Pick some nominal price per credit that sounds way more awesome than the cost of a tank of gas. “Five dollar fill up!” has a nice ring to it. (I think from 0 it would cost me $10 at home to fill up but the average supercharger visit is definitely not from 0 to 100% state of charge, and I would hope the average cost of juice at a Supercharger is less than the residential rate in a moderate-to-high priced market like Philadelphia, especially at locations with solar canopies.
Yes, this all sounds really cool and I think the market may end up demanding it so I bow before the brains at Tesla to make it happen if they deem it the best course of action. I just hope enough buyers either choose high margin options or buy the up front Supercharging option (if offered) so that there is enough cash to go around and build more chargers. But then again, Tesla could just take a page out of Trump’s book. “We’re gonna build chargers. Big, beautiful chargers. And we’re gonna’ make them pay for it!” Them being the retail giants whose parking lots the chargers will grace.
PS: Tesla, if you’re listening, I think “credits” need to be graphically represented like coins in Super Mario games.
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.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
