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Tesla Model 3 configurator in China teases March deliveries, Standard Range in 2nd half of 2019
Tesla has opened its Model 3 configurator for the Chinese market, allowing potential buyers of the electric sedan to design their vehicles. As could be seen in Tesla’s Chinese website, the company is only offering two variants of the Model 3 in China for now — the Long Range AWD and the Performance version. The Mid Range Model 3 RWD, the vehicle’s most affordable variant available today, is currently unavailable in the country.
The Model 3 configurator in China reflects the vehicle’s updated prices, which were rolled out after the Chinese State Council Customs Tariff Commission announced last month that it was suspending the extra 25% tariffs it placed on cars and parts being imported from the United States. With these adjustments in place, the Model 3 Performance, which was initially announced with a price of 689,000 RMB (roughly $100,000), was adjusted to 560,000 RMB (around $81,000). The Long Range AWD variant, initially listed with a price of 580,000 RMB (around $84,000), was reduced to 499,000 RMB (roughly $72,600).
Tesla’s Model 3 configurator in China. (Credit: Tesla)
White seats are currently priced at 9,300 RMB (~$1,300), while paint options such as “China Red” multicoat are priced at 23,100 RMB (~$3,300). In the case of the Model 3 Performance, the Chinese version of the electric vehicle is also equipped with 19″ “Power Wheels,” which feature a design that combines “balanced performance and cruising range.” Enhanced Autopilot is priced at 46,300 RMB (~$6,700) as well, though the company notes that purchasing the driver-assist system after taking delivery would raise its price to 65,000 RMB (~$9,400). The electric car maker also included a reminder about Autopilot’s upcoming features, stating that “the specific functions and specific time of the push will depend on the relevant laws, regulations, and rules of the People’s Republic of China.”
Tesla’s Model 3 page in China notes that first deliveries for the vehicle are expected to begin sometime in March 2019. The company’s Chinese website further teased that the upcoming Standard Range version of the Model 3 would be available sometime in mid-2019. This is quite in line with Tesla’s timeframe for the Standard Range Model 3 in its US configurator, which estimates the electric car’s availability within 3-4 months.
Tesla’s Model 3 configurator in China. (Credit: Tesla)
Chinese reservation holders who order the vehicle could pick up the Model 3 in select locations across the country. So far, Tesla’s website in China lists 14 pick-up locations, from Beijing to Wuhan. The company adds that if a vehicle is purchased without a test drive, buyers can return the electric car within three days of purchase for a refund.
With the Model 3 now saturating North America, Tesla is gearing up to bring the electric car to the international market. That said, even before the Model 3 configurator was opened to the public, Tesla was already making the vehicle attractive to potential buyers in China. The Model 3 Performance’s 560,000 RMB price, for one, massively undercuts the price of fossil fuel-powered rivals such as the BMW M3 and the Mercedes-AMG C 63 Coupe, which cost as much as 998,000 RMB ($162,000) and 1,198,000 RMB ($173,623), respectively. With its superior acceleration, zero emissions, features such as Enhanced Autopilot, and free over-the-air updates, Tesla has all but made the Model 3’s top-tier variant a bang-for-your-buck vehicle in the Asian country.
The start of Model 3 deliveries in China is but the tip of the iceberg for the electric car maker, as Tesla is also constructing Gigafactory 3 in Shanghai. The facility is expected to produce both battery packs and electric vehicles like the Model 3 and the Model Y. Estimates note that Gigafactory 3 would likely commence the production of electric cars sometime in the second half of 2019.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
