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Tesla is breaking the 'Made-in-China' stereotype with the GF3-made Model 3
Elon Musk and the Tesla team revel in busting stereotypes. This was evident in the Cybertruck’s unveiling, where Chief Designer Franz von Holzhausen literally took a sledgehammer to emphasize the point that EVs can be stronger than conventional rough-and-tough vehicles. In China, Tesla is doing the same thing, but this time, the electric car maker is breaking a stereotype that has been around for a long time: the myth of bad “Made in China” quality.
A study from the Iowa State University reported via Futurity noted that before the words “Made in China” were perceived in the United States as a reference to low-cost and low-quality goods, the perception for Chinese-made products was actually quite positive. Gang (Kevin) Han, an associate professor at Iowa State University’s Greenlee School of Journalism and Communication, noted that things started changing when China became the manufacturing powerhouse that it is today.
“People really enjoyed products from China. They viewed products, such as tea, furniture, or dishware, as unique. It was a quality product and there was a cultural value. But when China became a world factory and produced so many items for so many brands, people changed their views,” he said, adding that the prominent media coverage about issues with China-made products also added to the stereotype. “We see a lot of framed messages in these stories and receive the message subconsciously,” Han remarked.
These stereotypes were promptly invoked by Tesla critics as soon as the electric car maker announced its plans to build a factory in China. Over the course of Gigafactory 3’s construction, it was not rare to find a Tesla critic mocking the alleged quality issues that would most likely plague the MIC Model 3. This point, as with many criticisms thrown at Tesla, appears to have been taken as a challenge by the electric car maker’s team in China. When the company invited the media to experience the Made-in-China Model 3 for the first time, Tesla was serious. It wanted to break another stereotype. And they did.
Reviews of the Made-in-China Model 3 were notably positive, even if the vehicles being produced in the Shanghai-based site are only the Standard Range Plus variants of the all-electric sedan. Despite not having Tesla’s stunning white interior or more fancy 19″ Sports Wheels, the locally-made Model 3s were built with near-surgical precision. The vehicles’ panel gaps were meticulously aligned, their trimmings fit to a tee. In the United States, former GM executive Bob Lutz eventually praised Tesla’s build quality for the Model 3, but only after Tesla mastered the production of the vehicle, which took over a year to achieve. The MIC Model 3 units in China were first production cars, which means that they’ll likely only get better with time.
It’s a bit humorous, but Tesla China’s press images for the MIC Model 3 featured numerous close-ups of the locally-made electric car, and many of them showcased the cars’ smooth paint and consistent panel lines, aspects of the car that proved difficult for the company in the United States. In a way, Tesla China’s MIC Model 3 press images seem to be a direct response against the stereotype, proving that any vehicle made in Shanghai’s Gigafactory 3 matches the quality of a car built in Fremont.
Perhaps most telling of these observations came from local auto journalists who were among the first to review the locally-made Model 3. Tencent Auto editor 常岩, who happens to be a Model 3 owner himself, was invited to check out the locally-made version of his electric car. Much to the auto editor’s surprise, he noted that the build quality of the Gigafactory 3-made Model 3 was actually better than his car, which was imported from the United States. With this conclusion, the auto journalist noted that Tesla’s MIC Model 3 will likely prove successful in the Chinese market, as it offers great quality and features for its price. The locally-made Model 3 is proudly Made in China, and it is just as good, if not better, than other Model 3 in the market.
Tesla’s Made-in-China Model 3 is poised to make waves in the Chinese EV segment, with the massive Shanghai-based Gigafactory 3 now mass manufacturing the all-electric sedan. Recent flyovers of the Gigafactory 3 complex have revealed hundreds of MIC Model 3 just ready for delivery. Car carrier trucks loaded with Model 3s have also been photographed leaving the Gigafactory 3 premises. With these sightings in mind, it may only be a matter of time before deliveries of the locally-made electric car begins in the country.
Watch an existing Tesla Model 3 owner review the MIC Model 3 in the video below.
H/T Ray4Tesla/Twitter
Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
