It appears that Tesla’s internal beta of FSD Beta 10.13 was successful, as reports recently emerged that the highly-anticipated iteration of the advanced driver-assist system has started rolling out to consumer vehicles. A good portion of the update’s release notes has also been shared online.
As former Tesla AI Director Andrej Karpathy announced his departure from the company last week, CEO Elon Musk remarked that FSD Beta 10.13 should handle some tough left turns. Musk also remarked that the recent 10.x updates of FSD Beta are already “mostly at v11” in terms of their capabilities, though FSD Beta v11 itself should still be released hopefully next month.
Interestingly enough, one of the first observed vehicles that received FSD Beta 10.13 was a Model Y from Gigafactory Texas, a vehicle with a 4680 battery pack. This is quite an interesting development, as FSD Beta and 4680 battery packs are among Tesla’s most important projects in recent years.
Just as stated by Elon Musk, FSD Beta 10.13’s release notes directly reference beta tester Chuck Cook’s extremely challenging unprotected left turn, as well as other notable improvements on false positives and false slowdowns around crosswalks. While FSD Beta 10.13 would most definitely not be the final iteration of the advanced driver-assist system, it promises to be a substantial improvement overall.
Following are (partial) release notes of FSD Beta v10.13.
FSD Beta v10.13 Release Notes
- Improved decision making for unprotected left turns using better estimation of ego’s interaction with other objects through the maneuver.
- Improved stopping pose while yielding for crossing objects at “Chuck Cook style” unprotected left turns by utilizing the median safety regions.
- Made speed profile more comfortable when creeping for visibility, to allow for smoother stops when protecting for potentially occluded objects.
- Enabled creeping for visibility at any intersection where objects might cross ego’s path, regardless of presence of traffic controls.
- Improved lane position error by 5% and lane recall by 12%…
- Improved lane position error of crossing and merging lanes by 22% by adding long-range skip connections and a more powerful trunk to the network architecture.
- Improved pedestrian and bicyclist velocity error by 17%, especially when ego is making a turn, by improving the onboard trajectory estimation used as input to the neural network.
- Improved animal detection recall by 34% and decreased false positives by 8% by doubling the size of the auto-labeled training set.
- Improved detection recall of far away crossing vehicles by 4% by tuning the loss function used during training and improving label quality.
- Improved the “is parked” attribute for vehicles by 5% by adding 20% more examples to the training set.
- Upgraded the occupancy network to detect dynamic objects and improved performance by adding a video module, tuning the loss function, and adding 37k new clips to the training set.
- Reduced false slowdowns around crosswalks by better classification of pedestrians and bicyclists as not intending to interact with ego.
- Reduced false lane changes for cones or blockages by preferring gentle offsetting in-lane where appropriate.
- Improved in-lane positioning on wide residential roads.
- Improved object future path prediction in scenarios with high yaw rate.
- Improved speed limit sign accuracy on digital speed limits by 29%, on signs with difficult relevance by 23%, on 3-digit speeds by 39%, and on speed limit end signs by 62%. Neural network was trained with 84% more examples in the training set and with architectural changes which allocated more compute in the network head.
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Xpeng CEO: Tesla FSD 14.2 has developed “near-Level 4” performance
While acknowledging that imperfections remain, the Xpeng CEO said FSD’s current iteration significantly surpasses last year’s capabilities.
Xpeng CEO He Xiaopeng has offered fresh praise for Tesla’s Full Self-Driving (FSD) system after revisiting Silicon Valley more than a year after his first hands-on experience.
Following extended test drives of Tesla vehicles running the latest FSD software, He stated that the system has made major strides, reinforcing his view that Tesla’s approach to autonomy is indeed the proper path towards autonomy.
Tesla FSD closing in on Level 4 driving
During his visit, He test-drove a Tesla equipped with FSD V14.2. He also rode in a Tesla Robotaxi. Over roughly five hours of driving across Silicon Valley and San Francisco, He said both vehicles delivered consistent and reassuring performance, a notable improvement from his experience a year earlier.
According to He, Tesla’s FSD has evolved from a smooth Level 2 advanced driver assistance system into what he described as a “near-Level 4” experience in terms of capabilities. While acknowledging that imperfections remain, the Xpeng CEO said FSD’s current iteration significantly surpasses last year’s capabilities. He also reiterated his belief that Tesla’s strategy of using the same autonomous software and hardware architecture across private vehicles and robotaxis is the right long-term approach, allowing users to bypass intermediate autonomy stages and move closer to Level 4 functionality.
He previously tested Tesla’s FSD V12.3.6 and Waymo vehicles in California in mid-2024, noting at the time that Waymo performed better in dense urban environments like San Francisco, while Tesla excelled in Silicon Valley and on highways.
Xpeng’s ambitious autonomy roadmap and internal challenge
The Silicon Valley visit also served as a benchmark for Xpeng’s own autonomy ambitions. He stated that Xpeng is looking to improve its VLA autonomous driving system to match the performance of Tesla’s FSD V14.2 within China by August 30, 2026. Xpeng is poised to release its VLA 2.0 smart driving software next quarter, though He cautioned that the initial version will not be able to match FSD V14.2’s capabilities, as noted in a CNEV Post report.
He also added a personal twist to the goal, publicly challenging Xpeng’s autonomous driving team. If the performance target is met by the 2026 deadline, the CEO stated that he will approve the creation of a Chinese-style cafeteria for Xpeng’s Silicon Valley team. If not, Liu Xianming, head of Xpeng’s autonomous driving unit, has pledged to run naked across the Golden Gate Bridge, He noted.
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Another Tesla Model 3 variant sold out for January 2026 in China
A look at Tesla China’s order page shows that new Model 3 LR RWD orders now have an estimated delivery date of February 2026.
Another Tesla Model 3 variant in China appears to have sold out for January 2026, with the vehicle now showing an estimated delivery date of February 2026 for new orders. This bodes well for the all-electric sedan, which has maintained notable sales despite more affordable rivals like the Xiaomi SU7 and its crossover sibling, the Model Y.
Model 3 LR RWD joins February 2026 queue
A look at Tesla China’s order page for the all-electric sedan shows that new Model 3 Long Range Rear Wheel Drive orders now have an estimated delivery date of February 2026. Priced from RMB 259,500 ($36,810), the LR RWD sits as the second-lowest-priced trim in Tesla China’s four-variant Model 3 lineup. The move follows a similar delivery timeframe for the Model 3 Performance, which remains the most expensive option for the vehicle, as noted in a CNEV Post report.
The estimated delivery dates of the two remaining Model 3 variants remain unchanged for now. The base RWD version, starting at RMB 235,500, and the LR AWD variant, priced from RMB 285,500, both continue to list estimated delivery times of 4-6 weeks. Tesla China, for its part, has continued to list in-stock Model 3 vehicles and is actively encouraging buyers to select inventory units for delivery before the end of the year.
Model Y delays and policy shifts
Delivery timelines for the Model Y in China are also stretching into 2026. All customized Model Y variants now show February 2026 as their estimated delivery date, except for the entry-level version, which still lists January 2026. Tesla has been urging customers since November to prioritize purchasing inventory vehicles, a push aimed at maximizing year-end deliveries.
Timing matters for Chinese buyers due to upcoming changes in government incentives. China’s new energy vehicle purchase tax exemption will be scaled back in 2026, which means customers who take delivery next year could face higher tax costs compared to those who are able to receive vehicles before the end of the year.
As per data from the China Passenger Car Association, Tesla recorded retail sales of 73,145 vehicles in November, down 0.47% year over year. From January through November, Tesla’s retail sales in China totaled 531,855 units, a 7.37% year-over-year drop.
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Wedbush’s Dan Ives sees ‘monster year’ ahead for Tesla amid AI push
In a post on X, the analyst stated that the electric vehicle maker could hit a $3 trillion market cap by the end of 2026 in a bullish scenario.
Wedbush analyst Dan Ives is doubling down on Tesla’s (NASDAQ:TSLA) long-term upside. In a post on X, the analyst stated that the electric vehicle maker could hit a $3 trillion market cap by the end of 2026 in a bullish scenario, thanks to the company’s efforts to develop and push its artificial intelligence programs.
An aggressive valuation upside
Ives, Wedbush’s global head of tech research, stated in his post that Tesla is entering a pivotal period as its autonomy and robotics ambitions move closer to commercialization. He expects Tesla’s market cap to reach $2 trillion in 2026, representing roughly 33% upside from current levels, with a bull case up to a $3 trillion market cap by year-end.
Overall, Ives noted that 2026 could become a “monster year” for TSLA. “Heading into 2026, this marks a monster year ahead for Tesla/Musk as the autonomous and robotics chapter begins. We believe Tesla hits a $2 trillion market cap in 2026 and in a bull case scenario $3 trillion by end of 2026… as the AI chapter takes hold at TSLA,” the analyst wrote.
Ives also reiterated his “Outperform” rating on TSLA stock, as well as his $600 per share price target.
Unsupervised Full-Self Driving tests
Fueling optimism is Tesla’s recent autonomous vehicle testing in Austin, Texas. Over the weekend, at least two Tesla Model Ys were spotted driving on public roads without a safety monitor or any other occupants. CEO Elon Musk later confirmed the footage of one of the vehicles on X, writing in a post that “testing is underway with no occupant in the car.”
It remains unclear whether the vehicle was supported by chase cars or remote monitoring, and Tesla has not disclosed how many vehicles are involved. That being said, Elon Musk stated a week ago that Tesla would be removing its Safety Monitors from its vehicles “within the next three weeks.” Based on the driverless vehicles’ sightings so far, it appears that Musk’s estimate may be right on the mark, at least for now.
Xpeng CEO: Tesla FSD 14.2 has developed “near-Level 4” performance
Another Tesla Model 3 variant sold out for January 2026 in China
