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Tesla (Enhanced) Autopilot vs. Full Self-Driving: What’s the difference now?
Tesla has announced a 50% price reduction on Autopilot and Full Self-Driving Capability for existing Model S, Model X and Model 3 vehicles.
Interested buyers of Tesla’s semi-autonomous feature package can use a new one-click payment process to add Autopilot to an existing vehicle for $2,000 (originally $4,000 when purchased after vehicle delivery) and Full Self-Driving for $2,000, reduced from the original price of $5,000 when added after delivery. The announcement comes a day after Tesla launched its $35,000 Model 3, and drastically reduced the price of its flagship Model S and Model X vehicles.
Tesla explains in a new blog post, “All customers who bought a Tesla before yesterday’s price decrease will be able to buy the Autopilot or Full Self-Driving capability for half of what those features would normally cost after initial purchase.”
Though the announcement is a seemingly welcomed change, the Autopilot update has created some confusion among Tesla owners, prompting CEO Elon Musk to clarify over Twitter.
If you bought enhanced autopilot, FSD upgrade costs $2k instead of $5k
— Elon Musk (@elonmusk) March 2, 2019
Tesla Autopilot
On February 28, 2019, Tesla updated the details for its Autopilot suite that includes the replacement of “Enhanced Autopilot” with “Autopilot”, along with adjustments to pricing and features.
Taking a closer look at the details between Tesla’s original Enhanced Autopilot and what’s now being called Autopilot, and it’s evident that Tesla shifted some of the original features of Enhanced Autopilot to Full Self-Driving. However, Tesla also added two additional features to the Full Self-Driving Capability that will enable the vehicle to recognize and respond to traffic lights and stop signs, and perform automatic driving on city streets.
Autopilot Cost
The cost of Autopilot depends on several factors depending on the date a Model S, Model X or Model 3 was purchased and also if Autopilot was added at the time of vehicle purchase.
- Autopilot – $2,000 (this is the newly introduced 50% discount) when added to a vehicle that was purchased without Enhanced Autopilot. Vehicle must be purchased before February 28, 2019.
- Autopilot – $3,000 when added at the time of vehicle purchase. Vehicle must be purchased on February 28, 2019, or anytime thereafter.
- Autopilot – $4,000 when added to a vehicle after delivery. Vehicle must be purchased on February 28, 2019, or anytime thereafter.
Autopilot Features*
Auto Lane Change- Autosteer
- Traffic-Aware Cruise Control
AutoparkSummonNavigate on Autopilot
* The strikethroughs represents features that were originally part of Enhanced Autopilot but now moved to Full Self-Driving Capability.
Tesla Full Self-Driving (FSD) Capability, updated February 28, 2019
Autopilot Full Self-Driving Cost
The cost for Tesla’s Full Self-Driving feature also varies depending on the date of vehicle purchase. FSD requires Autopilot.
- FSD – $2,000 (this is the newly introduced 50% discount) when added to any Model S, Model X, or Model 3 that was purchased with Enhanced Autopilot before February 28, 2019. Total cost of EAP ($5,000) + FSD ($2,000) = $7,000.
- FSD – $3,000 when added to any Model S, Model X, or Model 3 that was purchased without Enhanced Autopilot before February 28, 2019. Total cost of AP ($2,000) + FSD ($3,000) = $5,000.
- FSD – $5,000 when added at the time of vehicle purchase on February 28, 2019, or anytime thereafter. Total cost of AP ($3,000) + FSD ($5,000) = $8,000.
- FSD – $7,000 when added to a vehicle that was purchased on February 28, 2019, or anytime thereafter, and already delivered. Total cost of AP ($4,000) + FSD ($7,000) = $11,000.
FSD Features*
- Autopark: both parallel and perpendicular spaces.
- Navigate on Autopilot: automatic driving from highway on-ramp to off-ramp including interchanges and overtaking slower cars.
- (Advanced) Summon: “Your parked car will come find you anywhere in a parking lot. Really.”
- Coming later in 2019: Recognize and respond to traffic lights and stop signs.
- Coming later in 2019: Automatic driving on city streets.
Tesla’s online configurator, March 2019
Tesla explains the recent Autopilot update in its blog post, which we’ve provided below.
Upgrading to Autopilot and Full Self-Driving Capability
All customers who bought a Tesla before yesterday’s price decrease will be able to buy the Autopilot or Full Self-Driving capability for half of what those features would normally cost after initial purchase.
Autopilot, which enables automatic steering, accelerating and braking, normally costs $4,000 after delivery and Full Self-Driving normally costs $7,000 after delivery. Full Self-Driving capability includes Navigate on Autopilot, Advanced Summon, Auto Lane Change, Autopark and, later this year, will recognize and respond to traffic lights.
Any customer who bought a Tesla prior to this week’s price adjustment will be able to upgrade to Autopilot for $2,000 or Full Self-Driving capability for an additional $3,000. In other words, for a customer who previously hadn’t purchased Autopilot plus Full Self-Driving, they will soon be able to do so for $6,000 less than before. Customers who previously purchased Full Self-Driving will receive an invitation to Tesla’s Early Access Program (EAP). EAP members are invited to experience and provide feedback on new features and functionality before they are rolled out to other customers.
Beginning next month, any existing customer who wants to upgrade to Autopilot or Full Self-Driving capability will be able to do so with a one-click payment. There will be no need to call anyone, and it will be as easy as it was to order your car in the first place.
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.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
