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Tesla Model 3 “Phantom Drain” compared to Model S and Model X
Tesla Model 3 currently leads the pack in terms of having the highest parasitic battery drain, or better known as “Phantom Drain”, over Tesla’s more mature Model S and Model X.
Phantom Drain represents the amount of charge an electric vehicle loses when it is not being driven or operated by a person, similar to how smartphones lose battery power while in standby mode. In the case of Tesla vehicles, the battery discharges while the car is not being driven in order to provide power to its onboard electronics and auxiliary functions, such as the battery’s thermal management system. According to the Model 3 Owners Guide, the vehicle, on average, should discharge at a rate of around 1% per day, similar to Tesla’s quotes for the Model S and Model X’s battery drain levels.
However, looking at data collected through TezLab, a popular app among the Tesla owners community that tracks vehicle power usage, efficiency, and other statistics, Ben Sullins of the Teslanomics YouTube channel was able to see a significantly larger discharge rate from the Model 3. Ben was also able to compare the differences in vampire drain between the 3,855 Model S, 1,281 Model X, and 362 Model 3 being sampled.
Looking at the distribution of Phantom Drain between the Model S, Model 3 and Model X, it could be seen that around 60% of TezLab’s users experienced drain levels similar to Tesla’s quoted levels, which are on the 1-2% range per day. However, the differences between battery drain of the Model 3 and the Model S and X become more prominent over time. It’s worth noting that any parasitic losses as a result of TezLab connecting to the vehicle on a recurring basis may also be accounted for in the results being reported.
- Phantom Drain Info Graphic comparing Model S, Model 3, Model X [Credit: TezLab]
- A comparison of the Phantom Drain levels of the Model 3, Model S, and Model X. [Credit: Ben Sullins/YouTube]
- A comparison of the Phantom Drain levels of the Model 3, Model S, and Model X. [Credit: Ben Sullins/YouTube]
As noted by Ben, the Model 3’s Phantom Drain levels exhibited volatility sometime during the November 2017 to January 2018 period. Ben’s recent real-world range test using his RWD Long Range Model 3 on an LA to Las Vegas route showed an even more drastic level of Phantom Drain, with his car losing almost 20 miles of range while he and his companion ate lunch. That’s a loss of more than 6% from the Model 3’s rated 310-mile range in the span of an hour.
The drain levels of Model 3 owners using the TezLab app has started becoming more normalized, suggesting that the longer the vehicles are on the road, and as Tesla pushed firmware updates to its Model 3 fleet, the more consistent the cars’ drain levels became. Back in 2015, we covered a Model S that lost an average of 2.3% rated range per day while the vehicle was left in 16-degree Fahrenheit (-9 C) weather.
Overall, Tezlab’s data shows that the Model 3 is becoming more consistent as the maturity of the vehicle’s software is improving. Other features like its battery thermal management systems and its auxiliary functions are improving over time as well. These improvements are a trademark of Tesla, which is known as one of the only carmakers whose vehicles get better after they roll off the showrooms.
Watch Ben’s video on the Phantom Drain of the Model 3 compared to the Model S and Model X.
News
Tesla Cybercab sighting confirms one highly requested feature
The feature will likely allow the Cybercab to continue operating even in conditions when its cameras could be covered with dust, mud, or road grime.
A recent sighting of Tesla’s Cybercab prototype in Chicago appears to confirm a long-requested feature for the autonomous two-seater.
The feature will likely allow the Cybercab to continue operating even in conditions when its cameras could be covered with dust, mud, or road grime.
The Cybercab’s camera washer
The Cybercab prototype in question was sighted in Chicago, and its image was shared widely on social media. While the autonomous two-seater itself was visibly dirty, its rear camera area stood out as noticeably cleaner than the rest of the car. Traces of water were also visible on the trunk. This suggested that the Cybercab is equipped with a rear camera washer.
As noted by Model Y owner and industry watcher Sawyer Merritt, a rear camera washer is a feature many Tesla owners have requested for years, particularly in snowy or wet regions where camera obstruction can affect visibility and the performance of systems like Full Self-Driving (FSD).
While only the rear camera washer was clearly visible, the sighting raises the possibility that Tesla may equip the Cybercab’s other external cameras with similar cleaning systems. Given the vehicle’s fully autonomous design, redundant visibility safeguards would be a logical inclusion.
The Cybercab in Tesla’s autonomous world
The Cybercab is Tesla’s first purpose-built autonomous ride-hailing vehicle, and it is expected to enter production later this year. The vehicle was unveiled in October 2024 at the “We, Robot” event in Los Angeles, and it is expected to be a major growth driver for Tesla as it continues its transition toward an AI- and robotics-focused company. The Cybercab will not include a steering wheel or pedals and is intended to carry one or two passengers per trip, a decision Tesla says reflects real-world ride-hailing usage data.
The Cybercab is also expected to feature in-vehicle entertainment through its center touchscreen, wireless charging, and other rider-focused amenities. Musk has also hinted that the vehicle includes far more innovation than is immediately apparent, stating on X that “there is so much to this car that is not obvious on the surface.”
News
Tesla seen as early winner as Canada reopens door to China-made EVs
Tesla had already prepared for Chinese exports to Canada in 2023 by equipping its Shanghai Gigafactory to produce a Canada-specific version of the Model Y.
Tesla seems poised to be an early beneficiary of Canada’s decision to reopen imports of Chinese-made electric vehicles, following the removal of a 100% tariff that halted shipments last year.
Thanks to Giga Shanghai’s capability to produce Canadian-spec vehicles, it might only be a matter of time before Tesla is able to export vehicles to Canada from China once more.
Under the new U.S.–Canada trade agreement, Canada will allow up to 49,000 vehicles per year to be imported from China at a 6.1% tariff, with the quota potentially rising to 70,000 units within five years, according to Prime Minister Mark Carney.
Half of the initial quota is reserved for vehicles priced under CAD 35,000, a threshold above current Tesla models, though the electric vehicle maker could still benefit from the rule change, as noted in a Reuters report.
Tesla had already prepared for Chinese exports to Canada in 2023 by equipping its Shanghai Gigafactory to produce a Canada-specific version of the Model Y. That year, Tesla began shipping vehicles from Shanghai to Canada, contributing to a sharp 460% year-over-year increase in China-built vehicle imports through Vancouver.
When Ottawa imposed a 100% tariff in 2024, however, Tesla halted those shipments and shifted Canadian supply to its U.S. and Berlin factories. With tariffs now reduced, Tesla could quickly resume China-to-Canada exports.
Beyond manufacturing flexibility, Tesla could also benefit from its established retail presence in Canada. The automaker operates 39 stores across Canada, while Chinese brands like BYD and Nio have yet to enter the Canadian market directly. Tesla’s relatively small lineup, which is comprised of four core models plus the Cybertruck, allows it to move faster on marketing and logistics than competitors with broader portfolios.
Elon Musk
Tesla confirms that work on Dojo 3 has officially resumed
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.
Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage.
Tesla CEO Elon Musk confirmed the update in a recent post on X.
Tesla’s Dojo 3 initiative restarted
In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X.
Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications.
Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.
Tesla’s AI roadmap
Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures.
He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.
Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected.


