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How to Decode Your Tesla Model S VIN
With the Model X delivery around the corner, the recent announcement of the Model 3 and the much anticipated unveiling of the “D”, we thought it would be fun decode the Model S Vehicle Identification Number (VIN) and take a wild guess on how future VINs may look like.
Finding your VIN
The VIN is a 17 character alphanumeric fingerprint to your vehicle often found on the lower left corner of your dashboard and against the windshield. Law requires that it be placed in a visibly prominent spot on the car and for that reason it’s not a secret code, dispelling the myth that your VIN is a confidential identifier. I’d hate to break it to you but your VIN is not a secret.
The Tesla Model S VIN can also be viewed by pressing the Tesla logo at the top of the 17″ display. The VIN is required by DMV and also when registering your vehicle with the insurance company because it provides a wealth of information about your vehicle.
Decoding the Tesla Model S VIN
Referencing Tesla’s filing with the National Highway Traffic Safety Administration (NHTSA), here’s how we can decode the Model S VIN.
The first digit in the VIN indicates the vehicle’s country of origin which can also be its assembly location. Referencing CarFax we know that 5 represents the country code for the USA. The second character, Y, is for Tesla Motors as the Manufacturer. The third character, J, represents the vehicle type. Things start to become even more detailed as we start moving into the Vehicle Descriptor Section.
The make of vehicle is the first character within the Vehicle Descriptor Section. S is for the Model S, R for the Roadster and following this pattern we should expect to see codes of X, 3, and possibly D down the road.
The next character, A, is the body type and represents a 5 door hatchback with left hand drive. Right hand drive Model S’ use the letter B. The restraint system has had a few different variations but a 1 represents Manual Type 2 USA Seat Belts while Dual Front Airbags, Front/Rear Side Airbags, Knee Airbags etc. utilize their own set of codes.
The battery type, H, is for the 85kWh battery, and S is for the 60kWh battery. The final digit indicates the number of drive units (motors). This will be 2 for the Model X. Based on this Tesla Motors NHTSA VIN filing, it’s almost certain that a dual motor Model S will soon be announced. We’ll expect to see a 2 in the VIN of the Model S “D”.
The next code labeled Check Digit is just a way for agencies to verify the VIN through a mathematical algorithm. The year is a code with E representing 2014, F for 2015 etc.
The assembly plant is F which stands for Fremont, CA and there appear to be other plant codes they’ve used in the past. As Tesla starts assembly in other countries we’ll expect to see new codes here.
The first character of the production number indicates the stage of production with a few interesting codes:
Mine is a P for production level. The final 5 digits are a unique serial number. People often abbreviate their VIN with just the production number, so P36801 in my example.
The Tesla Motors VIN is constantly evolving as the electric carmaker continues to expand their lineup and into different markets. Don’t for one second think it’s just simple letter or number because in reality each one represents exciting new changes for Tesla Motors.
What does your VIN say about your car? Let us know in the comments below.
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.”
News
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
