Tesla FSD Cost and Price Increase History

By Kevin Armstrong
Tesla's FSD and its historical prices
Tesla

The cost of Tesla's Full Self Driving has increased since it was revamped in 2019. Those lucky enough to buy FSD in April 2019 got it for the price of $5,000. Since then the price has risen as high as $15,000 only to be lowered later.

Elon Musk warned consumers through X/Twitter that FSD would be more expensive. On August 21 2022, he tweeted: After wide release of FSD Beta 10.69.2, price of FSD will rise to $15k in North America on September 5. Current price will be honored for orders made before September 5 but delivered later.

Tesla reorganized its Autopilot and FSD packages three years ago; basic Autopilot was introduced and became standard on every vehicle, while FSD was priced at $5,000. Enhanced Autopilot was removed as an option at the time, but was later reintroduced as a $6,000 option in June of 2022.

Before 2019 FSD was an add-on that required also buying Enhanced Autopilot. Enhanced Autopilot cost $5,000 and FSD was a $3,000 option on top of that if ordered with the vehicle. If you ordered FSD after taking delivery then it cost $4,000, which later went up to $5,000.

It can only be assumed that there were a lot of buyers for FSD when Tesla rearranged their offerings in 2019, as the price for FSD went up the following month and has been on the rise since.

In fact, Tesla raised the price again three months after the first release, and eighteen months later, it had doubled to $10,000. 2022 started with another jump to $12,000 in January, and nine months later, the price went up again.

However, it looks like the buy-rate may have dipped as Tesla started dropping the price of FSD in September 2023.

Historical FSD Prices

Historical prices of Tesla's Full Self-Driving add-on since the revamp in 2019.

Date FSD Cost
April 2019 $5,000
May 2019 $6,000
August 2019 $7,000
July 2020 $8,000
October 2020 $10,000
January 2022 $12,000
September 2022 $15,000
September 2023 $12,000
April 2024 $8,000

Tesla's CEO has made no qualms about the value of the program. At a shareholders' meeting in August, he said Tesla's engineers are producing breakthroughs in artificial intelligence. "We're solving a very important part of AI and one that can ultimately save millions of lives. And prevent 10 of millions of serious injuries by driving just an order of magnitude safer than people," said Musk. Since its inception and to this day, Musk believes that Teslas will be fully autonomous. He sees a future where your car would drive you to work, then operate as a ride share until you need to go home.

While Musk said the price would increase to $15,000 in North America, it skyrocketed to $19,500 in Canada, more than a 50% boost from what it cost in August. Although there is a monthly subscription offered in the U.S., there currently isn't one offered north of the border.

Although the price of FSD has continued to climb since Tesla revamped their FSD pricing structure in 2019, we witnessed Tesla's first price drop in the driver assist feature in September 2023. On the first of September, Tesla lowered the price of FSD by 20% in the U.S., down to $12,000. This brought FSD back to the price it was back at the start of 2022. However, in April 2024, Tesla once again lowered the price of FSD to $8,000, making it much more affordable, although the trend is unlikely to continue. Tesla may be testing the waters to find the optimal price. It'll be interesting to see where Tesla goes from here.

Tesla’s Robotaxi Easter Egg: Surprise Tip

By Karan Singh
BLKMDL3

Tesla has always embraced whimsy in its software, packing it with playful Easter eggs and surprises. From transforming the on-screen car into James Bond’s submarine to the ever-entertaining Emissions Testing Mode and the fan-favorite Rainbow Road, these hidden features have become a signature part of Tesla’s software.

Of course, launching a new product like Robotaxi wouldn’t be complete without a fun little easter egg of its own. The end-of-ride screen in the Robotaxi app presents a familiar option “Leave a tip.”

For anyone pleased with their Robotaxi ride, they may be tempted to leave a tip. However, tapping the button presents our favorite hedgehog instead of a payment screen.

The app displays a message, alongside the familiar Tesla hedgehog, that simply states “Just kidding.”

While it's a fun prank, it’s also a nod to what Tesla really wants to do. They want to reinforce the economic advantage of an autonomous Robotaxi Network. Without a driver, there is simply no need to tip. The gesture is playful, but it’s a reminder of what Tesla’s real aim is here.

Even Elon is in on the joke. It is a small detail, but it’s all about those small details with Tesla.

First Recorded Tesla Robotaxi Intervention: UPS Truck Encounter [VIDEO]

By Karan Singh
@BLKMDL3 on X

Over the last few days, we’ve seen some exceptionally smooth performance from the latest version of FSD on Tesla’s Robotaxi Network pilot. However, the entire purpose of an early access program with Safety Monitors is to identify and learn from edge cases.

This week, the public saw the first recorded instance of a Safety Monitor intervention, providing a first look at how they’re expected to stop the vehicle.

The event involved a complex, low-speed interaction with a reversing UPS truck. The Safety Monitor intervened to stop the Robotaxi immediately, potentially avoiding a collision with the delivery truck. Let’s break down this textbook case of real-world unpredictability.

The Intervention [VIDEO]

In a video from a ride in Austin, a Robotaxi is preparing to pull over to its destination on the right side of the road, with its turn signal active. Ahead, a UPS truck comes to a stop. As the Model Y begins turning into the spot, the UPS truck, seemingly without signaling, starts to reverse. At this point, the Safety Monitor stepped in and pressed the In Lane Stop button on the main display, bringing the Robotaxi to an immediate halt.

This is precisely why Tesla has employed Safety Monitors in this initial pilot. They are there to proactively manage ambiguous situations where the intentions of other drivers are unclear. The system worked as designed, but it raises a key question: What would FSD have done on its own? It’s not clear whether the vehicle saw the truck backing up, or what it would do when it finally detected it. It’s also unclear whether the UPS driver recognized that the Robotaxi was pulling into the same spot at the exact same time.

It’s possible this wouldn’t result in a collision at all, but the Safety Monitor did the right thing by stepping in to prevent a potential collision, even one at low speed. Any collision just a few days after the Robotaxi Network launch could result in complications for Tesla.

Who Would Be At Fault?

This scenario is a classic edge case. It involves unclear right-of-way and unpredictable human behavior. Even for human drivers, the right-of-way here is complicated. While a reversing vehicle often bears responsibility, a forward-moving vehicle must also take precautions to avoid a collision. This legal and practical gray area is what makes these scenarios so challenging for AI to navigate.

Would the Robotaxi have continued, assuming the reversing truck would stop?

Or would it have identified the potential conflict and used its own ability to stop and reverse?

Without the intervention, it’s impossible to say for sure. However, crucial context comes from a different clip involving, surprisingly, another UPS delivery truck.

A Tale of Two Trucks

In a separate video posted on X, another Robotaxi encounters a remarkably similar situation. In that instance, as another UPS delivery truck obstructs the path forward, the Robotaxi comes to a stop to let its two passengers out just a few feet from their destination.

Once they depart, the Robotaxi successfully reverses and performs a three-point turn to extricate itself from a tight spot. That was all done without human intervention, by correctly identifying the situation. 

This second clip is vital because it proves that the Robotaxi's FSD build has the underlying logic and capability to handle these scenarios. It can, and does, use reverse to safely navigate complex situations.

A Valuable Data Point

Far from being a failure, this first intervention should be seen as a success for Tesla’s safety methodology. It shows the safety system is working, allowing monitors to mitigate ambiguous events proactively.

More importantly, this incident provides Tesla’s FSD team with an invaluable real-world data point.

By comparing the intervened ride with the successful autonomous one, Tesla’s engineers can fine-tune FSD’s decision-making, which will likely have a positive impact on its edge case handling in the near future.

This is the purpose of a public pilot — to find the final edge cases and build a more robust system, one unpredictable reversing truck at a time.

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