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Top Gear doubles down on Tesla vs Porsche race, claims Model S’ actual results are worse
Top Gear‘s saga involving a drag race between the Tesla Model S Performance and the Porsche Taycan Turbo S continues to unravel, as CEO Elon Musk expressed his comments on Twitter and the motoring publication posted an update defending its results.
Following the release of a thorough analysis of the Model S vs Porsche Taycan drag race which suggested that Top Gear did not engage the Tesla’s Launch Mode and full Ludicrous Plus capabilities in the race, CEO Elon Musk took to Twitter to offer his take on the two vehicles’ bout. According to Musk, Top Gear did miss the Model S’ real performance figures, especially since the numbers published by the motoring publication were inconsistent with what regular Tesla owners have recorded on their vehicles.
Amidst criticism from the electric car community, Top Gear has issued a response explaining its Model S Performance vs Taycan Turbo S drag race results. Quite surprisingly, the motoring publication admitted that they did use Model S figures from a previous race in the Tesla vs Porsche drag battle. Even more surprisingly, Top Gear claimed that this was done in favor of the Tesla Model S Performance.
Explaining its results, Top Gear stated that the best figures recorded for the Tesla Model S Performance during its battle with the Taycan were a 0-60 mph time of 2.83 seconds, a 0-100 mph time of 6.64 seconds, and a quarter-mile time of 11.23 seconds at 123.2 mph. These figures were worse than the 0-60 mph time of 2.68 seconds, 0-100 mph time of 6.46 seconds, and quarter-mile time of 11.08 seconds at 124.0 mph listed by the publication in its comparative video.
“These were numbers we recorded in a Model S on a previous occasion. We ran them because these are the best figures we’ve achieved in a Model S to date so we know that’s what the car is capable of. And just to be clear, the Tesla was in Ludicrous+ mode, the battery was pre-conditioned and both cars had around 85 per cent charge before the first run,” Top Gear wrote.
Looking at Top Gear‘s statement and clarification, it appears that the motoring publication is suggesting that the Raven Model S Performance actually has worse capbilities than a vehicle that it used from back in 2017. This does not align with the experiences of Tesla owners at all, many of whom have reported that the Raven Model S Performance can actually outrun a Tesla Model S P100D in the quarter-mile.
Interestingly, Top Gear‘s clarification did not address the main concern expressed by the Tesla community about the Model S vs Taycan race — that the Tesla was not in Launch Mode during its drag battle with the German-made all-electric sports car. This, apart from the fact that a video of the Model S’ interior while it was racing with the Taycan showed that the vehicle’s Range Mode was activated, further clouds Top Gear‘s defense of its race.
Overall, it is quite disappointing to see Top Gear standing by its Tesla Model S Performance vs Porsche Taycan Turbo S drag race results. With the race practically debunked, it would not be in the Porsche Taycan’s best interests to run away with a win from the Model S at this point. The Taycan deserves a clean win, and it is something that it can actually achieve, considering its dual-speed gearbox. Simply put, it would be better for Top Gear at this point to race the two vehicles again, this time with both cars on Launch Control, and this time with an actual Raven Model S, to provide an accurate depiction of a drag race between these two excellent vehicles.
Elon Musk
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla confirmed HW3 vehicles cannot run unsupervised FSD, replacing its free upgrade promise with a discounted trade-in.
Tesla has officially confirmed that early vehicles with its Autopilot Hardware 3 (HW3) will not be capable of unsupervised Full Self-Driving, while extending a path forward for legacy owners through a discounted trade-in program. The announcement came by way of Elon Musk in today’s Tesla Q1 2026 earnings call.
🚨 Our LIVE updates on the Tesla Earnings Call will take place here in a thread 🧵
Follow along below: pic.twitter.com/hzJeBitzJU
— TESLARATI (@Teslarati) April 22, 2026
The history here matters. HW3 launched in April 2019, and Tesla sold Full Self-Driving packages to owners on the understanding that the hardware was sufficient for full autonomy. Some owners paid between $8,000 and $15,000 for FSD during that period. For years, as FSD’s AI models grew more demanding, HW3 vehicles fell progressively further behind, eventually landing on FSD v12.6 in January 2025 while AI4 vehicles moved to v13 and then v14. When Musk acknowledged in January 2025 that HW3 simply could not reach unsupervised operation, and alluded to a difficult hardware retrofit.
The near-term offering is more concrete. Tesla’s head of Autopilot Ashok Elluswamy confirmed on today’s call that a V14-lite will be coming to HW3 vehicles in late June, bringing all the V14 features currently running on AI4 hardware. That is a meaningful software update for owners who have been frozen at v12.6 for over a year, and it represents genuine effort to keep older hardware relevant. Unsupervised FSD for vehicles is now targeted for Q4 2026 at the earliest, with Musk describing it as a gradual, geography-limited rollout.
For HW3 owners, the over-the-air V14-lite update is welcomed, and the discounted trade-in path at least acknowledges an old obligation. What happens next with the trade-in pricing will define how this chapter ultimately gets written. If Tesla prices the hardware path fairly, acknowledges what early adopters are owed, and delivers V14-lite on the June timeline it committed to today, it has a real opportunity to convert one of the longest-running sore subjects among early adopters into a loyalty story.
Elon Musk
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.
Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”
Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.
Credit: TESLA
Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.
As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.
Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.
The earnings results come after Tesla reported a miss on vehicle deliveries for the first quarter, delivering 358,023 vehicles and building 408,386 cars during the three-month span.
As Tesla transitions more toward AI and sees itself as less of a car company, expectations for deliveries will begin to become less of a central point in the consensus of how the quarter is perceived.
Nevertheless, Tesla is leaning on its strong foundation as a car company to carry forward its AI ambitions. The first quarter is a good ground layer for the rest of the year.
Tesla Q1 2026 Earnings Results
Tesla’s Earnings Results are as follows:
- Non-GAAP EPS – $0.41 Reported vs. $0.36 Expected
- Revenues – $22.387 billion vs. $22.35 billion Expected
- Free Cash Flow – $1.444 billion
- Profit – $4.72 billion
Tesla beat analyst expectations, so it will be interesting to see how the stock responds. IN the past, we’ve seen Tesla beat analyst expectations considerably, followed by a sharp drop in stock price.
On the same token, we’ve seen Tesla miss and the stock price go up the following trading session.
Tesla will hold its Q1 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.
You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.
Q1 2026 Earnings Call at 4:30pm CT https://t.co/pkYIaGJ32y
— Tesla (@Tesla) April 22, 2026
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
