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Tesla Model 3 chases down Porsche Taycan Turbo S lap time, and comes very close

(Credit: Rex Raikkonen/YouTube)

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While the Porsche Taycan Turbo S and the Tesla Model 3 Performance are very different vehicles, both electric sedans are capable of handling the demands of track driving. The Turbo S far exceeds the Model 3 Performance in terms of price, however, with the German-made super-sedan starting at a price roughly equal to three Model 3 Performance units. 

The wide gap between the Model 3 and the Taycan Turbo S’ price encouraged racing enthusiast and EV owner Rex Raikkonen to see just how far he could push his Tesla on the track. Going into the 2020 SCCA Time Trial Nationals, Raikkonen tried to see if his Model 3 Performance could catch the lap set by the Porsche Taycan Turbo S at the National Corvette Museum (NCM) track. 

Raikkonen’s Model 3 Performance did have suspension upgrades from EV tuning house Mountain Pass Performance, but the all-electric sedan was still running on street tires. The Tesla owner’s goal for the lap was ambitious, seeing as the Taycan Turbo S ran a 2:15.3 lap with professional driver Andy Pilgrim behind the wheel. The Taycan’s run, featured on Automobile Magazine’s Pro Racers show on YouTube, showed just how well-tuned the electric super-sedan was for the circuit. 

Raikkonen pushed his Model 3 Performance hard around the NCM track, and though the Tesla owner noted that his car could not match the Taycan Turbo S’ raw speed during the straights, the American-made EV was able to impress nonetheless. The Tesla Model 3 Performance was ultimately able to complete a lap around the NCM track in 2:15.8, just half a second behind the Porsche Taycan Turbo S. 

Comments about the run posted on the r/TeslaMotors subreddit mentioned that the Model 3 could have actually matched or even beat the Taycan Turbo S’ 2:15.3 time if Raikkonen had driven a bit more aggressively during his hot lap. With a set of better tires and a more aggressive driving style, the reasonably affordable Model 3 could have exhibited an even more impressive lap. 

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While he fell 0.5 seconds short of the Taycan Turbo S, Raikkonen remarked that he was not disappointed with his Model 3 at all. The vehicle, after all, only cost about $70,000 including its Mountain Pass Performance upgrades. That’s just a fraction of the Taycan Turbo S’ premium price, which usually reaches well into the $200,000s when specced. 

Watch the Model 3 Performance’s run around the NCM track in the video below. 

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Elon Musk

Grok coming to Tesla vehicles next week “at the latest:” Elon Musk

Grok’s rollout to Tesla vehicles is expected to begin next week at the latest.

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Credit: Tesla China

Elon Musk announced on Thursday that Grok, the large language model developed by his startup xAI, will soon be available in Tesla vehicles. Grok’s rollout to Tesla vehicles is expected to begin next week at the latest, further deepening the ties between the two Elon Musk-led companies.

Tesla–xAI synergy

Musk confirmed the news on X shortly after livestreaming the release of Grok 4, xAI’s latest large language model. “Grok is coming to Tesla vehicles very soon. Next week at the latest,” Musk wrote in a post on social media platform X.

During the livestream, Musk and several members of the xAI team highlighted several upgrades to Grok 4’s voice capabilities and performance metrics, positioning the LLM as competitive with top-tier models from OpenAI and Google.

The in-vehicle integration of Grok marks a new chapter in Tesla’s AI development. While Tesla has long relied on in-house systems for autonomous driving and energy optimization, Grok’s integration would introduce conversational AI directly into its vehicles’ user experience. This integration could potentially improve customer interaction inside Tesla vehicles.

xAI and Tesla’s collaborative footprint

Grok’s upcoming rollout to Tesla vehicles adds to a growing business relationship between Tesla and xAI. Earlier this year, Tesla disclosed that it generated $198.3 million in revenue from commercial, consulting, and support agreements with xAI, as noted in a report from Bloomberg News. A large portion of that amount, however, came from the sale of Megapack energy storage systems to the artificial intelligence startup.

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In July 2023, Musk polled X users about whether Tesla should invest $5 billion in xAI. While no formal investment has been made so far, 68% of poll participants voted yes, and Musk has since stated that the idea would be discussed with Tesla’s board.

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Tesla Robotaxi to expand Austin coverage, Bay Area launch targeted in coming months

Tesla is looking at the San Francisco Bay Area as the next location for its Robotaxi service.

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Credit: @AdanGuajardo/X

Tesla is preparing to expand its Robotaxi pilot program in Austin, Texas, with the self-driving service set to cover a larger portion of the city this weekend. The CEO shared the update in a post on social media platform X, where he also noted that the company is currently looking at the San Francisco Bay Area as the location for Tesla’s next Robotaxi pilot.

Tesla’s growing Robotaxi pilot

Tesla’s Robotaxi service first launched in Austin last month as a test program. While the vehicles operate without a human in the driver’s seat, a Tesla employee currently rides in the front passenger seat to monitor vehicle performance. Responses to Tesla’s Robotaxi pilot are quite positive, with some users praising the vehicles for their smooth and comfortable rides.

In a later post on X, Musk also stated that Tesla is in the process of seeking regulatory approval to begin operating robotaxis in the Bay Area, adding that a launch there could happen within “a month or two.” The California expansion would be a notable milestone for Tesla, considering its roots in the state.

Robotaxi is key to Tesla’s long-term growth

Autonomous driving remains central to Tesla’s long-term vision. Musk has consistently framed Robotaxis as a future driver of profitability and growth, particularly as EV sales face headwinds across multiple regions. In a way, the expansion of Tesla’s autonomous fleet is expected to play a critical role in differentiating the company’s offerings in a crowded electric vehicle market.

Tesla has yet to specify when the Robotaxi service will transition out of its testing phase or how it plans to monetize the platform, as the company is only charging a flat fee of $4.20 per ride in its Austin pilot program today. However, its growing geographic footprint suggests the company is steadily progressing toward wider deployment.

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xAI launches Grok 4 with new $300/month SuperGrok Heavy subscription

xAI also introduced SuperGrok Heavy, which is priced at $300 per month.

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Credit: xAI/X

xAI, the artificial intelligence company founded by Elon Musk, has officially launched its latest flagship models, Grok 4 and Grok 4 Heavy. Alongside the release, the company introduced its most premium subscription tier to date, SuperGrok Heavy, which is priced at $300 per month and targeted at power users and developers.

Grok 4 is designed to compete with top-tier AI models like OpenAI’s ChatGPT and Google’s Gemini. As per xAI, Grok 4 demonstrates frontier-level performance across several benchmark evaluations. 

On Humanity’s Last Exam, an extensive test designed to evaluate general knowledge, Grok 4 scored 25.4% without using external tools, outperforming OpenAI’s o3 (high), which scored 21%, and Gemini 2.5 Pro, which scored 21.6%. 

When equipped with tools, Grok 4 Heavy scored 44.4%, making it the top-performing model in that category. For context, Gemini 2.5 Pro with tools scored 26.9%, as noted in a TechCrunch report.

xAI also highlighted Grok 4 Heavy’s “multi-agent” system, which enables multiple instances of the model to solve a problem in parallel and compare answers, similar to a study group. This collaborative approach is intended to improve both reasoning and accuracy in complex tasks.

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The company also shared results from the ARC-AGI-2 benchmark, where Grok (Thinking) achieved new state of the art (SOTA) score on the test with 15.9%. As per Arc Prize in a post on X, this score is “nearly double(s) the previous commercial SOTA and tops the current Kaggle competition SOTA.”

The $300/month SuperGrok Heavy plan grants users early access to Grok 4 Heavy, as well as upcoming product features. Upcoming capabilities that are planned for release in the coming months include an AI coding model in August, a multi-modal agent in September, and a video generation system in October.

Grok 4 and Grok 4 Heavy are available via API as part of xAI’s push to engage developers and enterprise users. The company’s enterprise platform, which launched just two months ago, will also expand via partnerships with cloud hyperscalers to bring Grok models to broader infrastructure environments.

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