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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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Tesla and driver sued by family of woman killed in Texas crash: what we know

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Credit: CNBC

Tesla is being sued by the family of the woman who was killed in a Texas crash involving a Model 3. The driver, who is also being sued, claimed the vehicle was operating on Autopilot mode, but Tesla executives have come out challenging that claim, stating that the driver of the vehicle overrode the system.

The lawsuit was filed by 76-year-old Martha Avila’s daughter and her husband, who allege a “design defect” involving a Tesla and a failure to warn. The suit alleges negligence against Tesla and the driver, Michael Butler.

Butler “stated he was operating with an automated driving assistance system engaged at the time of the crash,” the Harris County Sheriff’s Office said in a statement. He showed no signs of intoxication and was cooperative, the Sheriff’s Office said, according to NBC News.

Just after reports of the crash and numerous headlines that immediately blamed Tesla’s Autopilot suite, both Tesla CEO Elon Musk and Head of AI Ashok Elluswamy challenged that. Musk said the crash made “no sense” given that Tesla Autopilot and Full Self-Driving do not travel at the speeds the door cameras captured the car traveling at, which Tesla says was 73 MPH.

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Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration

Elluswamy also revealed that Tesla data showed Butler overrode the system by pressing the accelerator to 100%, and that the pedal was compressed fully even after the car had crashed. Tesla has not released this data to the public, likely because it is communicating with agencies like the NHTSA on an investigation.

The suit uses a Washington Post analysis of government data that “identified at least 17 fatal incidents linked to Tesla Autopilot.”

This is far from the first time an accident has been blamed on Autopilot. A fatal crash in Texas was blamed on Autopilot several years ago, but when Tesla released data to the NTSB, which was investigating the crash, Autopilot was not available where the crash occurred, and Autosteer was never enabled, meaning the car was manually controlled at the time of the accident.

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More information on the accident will be released as Tesla works with agencies to find the cause of the crash. From personal experience, it is hard to imagine Tesla Autopilot or FSD operating in this manner. It drives sometimes too cautiously in residential areas in parking lots, at least in my experience. Speeding happens, but at this rate in this type of area, it is hard to believe.

We look forward to more details being released with time.

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Tesla Cybertruck is officially the safest pickup, IIHS says

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Credit: Tesla

The Insurance Institute for Highway Safety (IIHS) has awarded the 2025-2026 Tesla Cybertruck crew cab pickup its highest honor: Top Safety Pick+. This marks the Cybertruck as the only full-size pickup to achieve this distinction in recent evaluations.

The award applies specifically to vehicles built after April 2025, following structural upgrades including front underbody reinforcements and footwell modifications.

These changes enabled strong performance in updated crash tests. The Cybertruck earned “Good” ratings in the small overlap front (driver and passenger sides), updated moderate overlap front, and updated side tests—core requirements for the Top Safety Pick+ designation.

It also secured acceptable or good headlights across trims and a “Good” rating for its standard front crash prevention system in pedestrian scenarios, along with acceptable or good performance in vehicle-to-vehicle testing.

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The Cybertruck avoided every single pedestrian collision, including:

  • Daytime child crossing
  • Nightitime adult crossing
  • Night parallel adult

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In the large pickup category, competitors such as the Toyota Tundra received only a standard Top Safety Pick, while the Ford F-150 and Ram 1500 did not qualify for either award. This positions the Cybertruck as a standout in occupant protection and crash avoidance among its peers.

Credit: IIHS

Ironically, the same vehicle celebrated for superior U.S. safety performance remains banned from public roads in the United Kingdom and much of Europe. Regulators there cite the Cybertruck’s sharp external edges and highly rigid stainless-steel construction as failing pedestrian-protection standards. European and UK rules require rounded surfaces on protruding parts to minimize injury risk in collisions with vulnerable road users.

Critics also point to the truck’s substantial weight and unyielding body structure, which some argue could transfer more force to other vehicles or pedestrians rather than absorbing it.

Tesla’s engineering philosophy underpins the Cybertruck’s strong IIHS results. The vehicle features a distinctive stainless-steel exoskeleton made from ultra-hard 30X cold-rolled stainless steel. This provides exceptional structural rigidity and a robust safety cage that resists deformation in side impacts and rollovers.

Engineers designed integrated load paths to channel crash forces away from the occupant compartment while allowing controlled energy absorption in key zones. Post-April 2025 refinements to the front underbody further optimized performance in overlap crashes.

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Complementing the passive structure is Tesla’s advanced active safety suite, including the standard Collision Avoidance Assist system with automatic emergency braking. This contributed directly to the vehicle’s strong front crash prevention scores. The skateboard platform and low center of gravity also enhance stability and handling, reducing the likelihood of certain crashes.

The IIHS recognition highlights how Tesla’s combination of high-strength materials, structural innovation, and software-driven safety systems can deliver top-tier protection in rigorous testing. While global regulatory differences on design and pedestrian interaction continue to limit the Cybertruck’s availability outside North America, its U.S. safety credentials set a new benchmark for full-size pickups.

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Elon Musk

SpaceX’s newest Starmind will make earth data centers obsolete

Elon Musk confirmed Starmind as SpaceX’s AI satellite constellation name, targeting one million orbital compute nodes.

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Elon Musk confirmed that Starmind will be the official name of SpaceX’s planned AI satellite constellation, following a trademark filing by xAI that surfaced earlier this week. Starmind is what’s being described to the FCC as a constellation of up to one million AI satellites

It’s worth noting that SpaceX’s Starlink communication satellite and Starmind are built on the same orbital infrastructure concept but serve entirely different purposes. Starlink is a connectivity network, with satellites receiving and relaying data between points on Earth, and functioning as a high-speed internet backbone in space. The satellites themselves do not process or think, and move information from one place to another, the same function a fiber cable performs underground.

SpaceX just forced Verizon, AT&T and T-Mobile to team up for the first time in history

Starmind, on the other hand, is something completely different, and tather than moving data, its satellites would compute data through artificial intelligence and directly in orbit using onboard processors powered by large solar arrays. Where a Starlink satellite is essentially a very fast pipe, a Starmind satellite is a server. The practical implication is that Starmind would allow AI models to run inference, process queries, and generate outputs from space, then beam results down to users anywhere on Earth within milliseconds, and without the data ever needing to travel to a terrestrial data center.

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Starship will be able to carry 30 to 50 AI1 satellites per launch, delivering the equivalent of dozens of server racks per flight, with no land acquisition, no power grid approval, and no cooling infrastructure required on the ground.

SpaceX is pursuing this new technology as terrestrial data centers are running into hard limits such as lack of physical space, community opposition, and power and water consumption at a scale that is increasingly difficult to permit. Space has unlimited solar power, natural vacuum cooling, and no zoning boards. Musk said in a June 8 video presentation that he expects space to become the lowest-cost location to deploy AI compute within two to three years. Two AI1 prototypes are scheduled to launch in early 2027, with volume production targeted for the end of that year at a new facility called Gigasat.

The real world applications Starmind enables extend well beyond powering Grok. A constellation of orbiting AI processors could run inference workloads for any paying customer, anywhere on Earth, with latency measured in milliseconds rather than the seconds associated with ground-based cloud routing across continents. Starmind, if it scales as described, would make SpaceX the landlord of AI compute the same way Starlink made it the landlord of satellite internet.

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