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How Tesla Model 3 Performance stacks up against track legends in its class

Red Tesla Model 3 at the Fremont Factory test track [Credit: Tesla Owners Club BE]

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This past weekend, Tesla CEO Elon Musk revealed the price and specifications of the Model 3 Performance with Dual-Motor AWD. According to Elon Musk, the Model 3 Performance will cost $78,000 with all options except Autopilot. The vehicle has a top speed of 155 mph, is capable of sprinting from 0-60 mph in 3.5 seconds, and is capable of traveling 310 miles on a single charge.

With Autopilot and Full Self-Driving added, the cost of the Model 3 Performance shoots up to $86,000, and with the possibility of an upcoming Ludicrous Mode upgrade ($7,500 for the Model S P85D and $10,000 for the Model S P90D), the price of the vehicle would likely be dangerously close, or even surpass the $90,000 barrier. While these prices are a far departure from the car’s $35,000 base price, they are, nevertheless, reasonable.

One thing to note when looking at the Model 3 Performance is Tesla’s target demographic. The vehicle is being marketed to car enthusiasts who are looking for a high-performance vehicle that is quick off the line and nimble on the corners. A clue regarding this could be found on Elon Musk’s own statements on Twitter.

Musk’s specific mention of the Model 3 Performance’s capabilities on the track is particularly noteworthy. Tesla’s electric cars, such as the Model S P100D, after all, have largely been formidable in straight-line races, but not so much in extended track driving. As could be seen in instances of the Model 3 being driven on a track, however, this particular limitation does not seem to exist in Tesla’s newest vehicle.

Earlier this year, the Model 3 was taken to the Laguna Seca Raceway, where it completed nine laps without limiting its power. Last month, a Model 3 took on an Autocross course, where it performed equally well without any heating issues. Earlier this month, a Model 3 took on another course, showing off its acceleration and cornering in a quick lap. All these vehicles performed far better on the track than the Model S or Model X. None of them were specifically tuned for performance.

With the Model 3 Performance, Tesla is trying to breach into the track driving market. Musk’s tweet specifically mentioned the BMW M3 — a legend on the track — stating that the Model 3 Performance will be roughly 15% quicker. This places the Model 3 Performance in the same league as the Mercedes AMG C 63 S Coupe, Audi RS5, and of course, the BMW M3. Compared to the cost of the fully-loaded options for these vehicles, the compact electric car is actually more affordable.

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Take the Mercedes AMG C 63 S Coupe, for example. A fully-loaded version of the car costs just slightly over $106,000. A fully-loaded BMW M3? $91,759. As for the Audi RS5, a fully-loaded version will set back owners $93,325. With this in mind, the Model 3 Performance’s $78,000 price is actually a pretty good steal. 

Specs-wise, the Mercedes AMG C 63 S Coupe is equipped with a twin-turbocharged and intercooled DOHC 32-valve V8 engine. The vehicle has a top speed of 180 mph and is capable of sprinting from 0-60 mph in 3.8 secs. The BMW M3, on the other hand, is equipped with a twin-turbocharged and intercooled DOHC 24-valve inline-6 engine. This gives the BMW M3 a top speed of 163 mph and a 0-60 mph time of 4.0 seconds. As for the Audi RS5, the high-performance vehicle is fitted with a twin-turbocharged and intercooled DOHC 24-valve V6, which gives the car a top speed of 174 mph and a 0-60 mph time of 3.9 seconds. 

When looking at the Model 3 Performance, it is pertinent to note that Tesla is not marketing the vehicle to the same demographic as the electric car’s $35,000 standard range version. The base Model 3 is designed to be an affordable electric car that is as stylish as it is capable. The Model 3 Performance is a vehicle designed to to be comparable to some of the best cars in its class. Apart from sharing the same frame and the same interior, the $35,000 base Model 3 and the $78,000 Model 3 Performance are two electric cars that could not be any more different. 

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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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SpaceXAI just launched into your kitchen with their new app

SpaceXAI just powered its first consumer app and it predicts what you want to buy.

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SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.

Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.

Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.


Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.

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Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”

Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO

The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.

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Tesla piggybacks recent Supercharger feature with update that takes it further

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Credit: Tesla

Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.

This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.

The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.

Tesla supplements Holiday Update by sneaking in new Full Self-Driving version

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Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.

Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:

This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.

Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.

Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.

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Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.

In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.

As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.

With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.

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Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it

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Credit: TESLARATI

Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.

The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:

“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”

However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.

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I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.

The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.

Hurry Mode Results

On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:

Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.

Mad Max Results

I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.

With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:

As well as adjusting Navigation, when I received two nags:

These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.

These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.

You can watch the full drive on YouTube below:

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