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Watch Tesla’s Model 3 spank the BMW M3 in head-to-head track test (VIDEO)
Popular auto magazine Top Gear recently published its most daring cover in years, declaring in boldface lettering that “Electric Beats Petrol.” Two high-performance sedans dominated the cover: the Tesla Model 3 Performance and the BMW M3, both of which represent the best that their class of vehicles has to offer. The publication has now released footage of the two cars’ tests, showing, in their full electric vs. petrol glory, just how much the Model 3 practically spanked the BMW M3.
The recently uploaded video covered the four tests that the Model 3 Performance and the M3 were subjected to. Both vehicles were driven by veteran auto journalist Jack Rix (who admits that he is not a professional racing driver, thereby representing the majority of people who own the two high-performance sedans), who took the Model 3 and the M3 around the Thunderhill Raceway in Willows, CA. It should be noted that the BMW M3 that Top Gear utilized for its tests was not equipped with the Competition package, to make the prices of the two cars line up better.
The two vehicles being subjected to a classic quarter-mile drag race, a 0-100-0 mph brake test, a time attack challenge around the Thunderhill track, and a drifting test. The drag race between the Model 3 and the M3 was not even a competition, with the all-electric sedan leaving the internal combustion-powered BMW in the dust. The Model 3 Performance finished the drag race in 11.9 seconds at 112.6 mph, significantly faster than the BMW M3’s 119.1 mph and 12.6-second time. The 0-100-0 mph braking test ended in a similar fashion, with the Tesla Model 3 drawing blood once more with 13.1 seconds compared to the BMW M3’s 13.8 seconds.
The main event of the magazine’s test was a hot lap around Thunderhill. The Top Gear journalist utilized Track Mode for the Model 3, allowing him to maneuver the rather heavy vehicle around the race course’s corners. The Model 3 Performance ultimately completed a lap around the track in 1:34.07. The BMW M3 roared through the closed circuit, and though the vehicle weighed considerably less than the Model 3, the German high-performance sedan completed the lap in 1:35.96.
The BMW did shine against the Model 3 in Top Gear‘s drifting test, as the M3 was dubbed by the veteran journalist as the more fun car to throw around the track’s corners. Despite this win, the test still ended with the Tesla Model 3 getting three wins out of four against the BMW M3. In conclusion, the journalist notes that between the two vehicles, the Model 3 is superior in many fronts, though he would still take the BMW M3 around a track due to its nimble characteristics. Nevertheless, the Model 3’s capability to tear up a closed circuit and remain refined enough on the road is something that is remarkable.
While the conclusions of Top Gear‘s head-to-head test between the Tesla Model 3 Performance and the BMW M3 are bound to be polarizing, the all-electric sedan’s wins against the internal combustion champion stand as a pivotal moment for auto enthusiasts. Gone are the days when electric cars are slow and unattractive, and gone are the days when even premium EVs can’t even make it around a track without throttling their power. Tesla has leveled the playing field with the Model 3 Performance, and as these tests show, the plain superiority of electric propulsion is now starting to become quite evident.
Watch the Tesla Model 3 Performance and the BMW M3 battle it out in four tests in the video below.
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
