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Exploring Details Behind the Tesla Model S Update
After four years on the market, Tesla has quietly released a new styling update for the Model S aligning it with the design found on the Model X and Model 3 prototype.
Tesla CEO Elon Musk has once said that Tesla continues to improve on their vehicles making sometimes twenty engineering design changes per week, with many of them being released via over-the-air software updates, but major redesigns are few and far between.
Let’s take a closer look at what the new Model S “refresh” introduced.
Exterior Design Updates
The most noticeable exterior update is the new front-end of the Model S which looks most like the front-end of the Model X.
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- 2016 Tesla Model S revised front end
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- Red Tesla Model X with Silver 20″ Wheels
Though they look very similar in design, the Model S looks even sleeker due to the lower profile over the Model X. The revised look keeps the Model S modern in appearance, but subtle enough that it still remains true to its original contour and body lines.
One update that easily goes unnoticed is the relocation of the front facing radar. Because of the new grill-less design of the Model S, the Tesla design team had to move the radar up from the bottom grill to the open space behind the Tesla emblem. This not only helps with functionality because of a higher mounting position with potentially less obstruction, but the new hidden location makes the car look a heck of a lot better.
Also improved on the exterior are the headlights which are now adaptive LED headlamps that adjust according to the curvature of the road. This is standard equipment found on the Model X but also seen on the Model 3 prototypes.
Interior Design Updates
The interior treatment of the Model S received a few new updates as well. Tesla has included a standard center console that looks to be the same one from the Model X.
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- Revised Tesla Model S center console
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- Tesla Model X Front Interior
Tesla Model S (left) vs Model X (right) interior
Tesla has also added a Figured Ash as an available interior trim. This trim has been very popular among Model X buyers, but it also happens to be a personal favorite of mine.
Additional Features
The Model S onboard charger has been upgraded from a 40A standard charger to a 48A standard charger, with an option to further increase charging rate by opting for a 72A “high amperage” charger. The older Model S configurations offered a 40A charger standard with an option to upgrade to 80A (‘dual chargers‘).
Tesla also made the automatic lift gate now a standard option which makes sense for a premium vehicle in this price range.
Included in the premium upgrade package is the BioWeapon defense mode air filtration system, as well as ambient interior lighting (previously an optional upgrade).
Pricing
While there were many rumors of a Model S price increase leading up to this design refresh, the new updates do not seem to be reflected in the price.
“The new Model S may actually be less expensive than before”
I priced out the latest Model S with options that I chose from before, and compared the new price side by side with one I previously saved.
The price from before was $98,450 and the new price is $104,450, but despite the price difference there are a couple of key differences which makes for the price disparity. Let me explain.
The last time I configured a Model S I couldn’t locate a high amperage/dual charger option so my $98,450 does not include that option. On the other hand, the updated Model S comes with a 48A charger as a standard feature. This is included in the base price of the vehicle.
Tesla also no longer offers the S85D which I priced-out back then, so this new price is for the 90D. In the past the extra 5 kWh was a $3,000 option.
If you back both of those out to the new price you get to a price difference of $99,950 or a price increase of $500. Keep in mind that the updated Model S also comes with a center console (previously a $650 extra charge) and the new air filtration system. Depending on how you look at it, the new Model S may actually be less expensive than before.
One could easily make the case that the new offering is an improvement over what Tesla offered before and is actually less expensive.
Summary
It’s great to see Tesla keeping the Model S design fresh and current despite all of the activity going on within the company, let alone conquering challenges with launching the Model X and preparing for the Model 3. Being able to pull off this current update – factoring in changes to production, logistics, service, etc – Tesla continues to defy naysayers and show the world what ingenuity and perseverance can accomplish in such a short amount of time.
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
