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Tesla’s Model 3 Heat Pump is a game changer compared to its old system
Tesla’s addition of a Heat Pump to its 2021 Model 3 was installed with the intention of bringing owners of the company’s most affordable vehicle more range and more efficiency. Now that the newly “refreshed” Model 3 is making its way to owners, it is proving to be around three times more efficient than older builds of the vehicle.
A new video from well-known EV content creator and Tesla owner Bjørn Nyland showed that the heat pump gives owners around three times the efficiency compared to the previous HVAC system, which used a Positive Temperature Coefficient, or PTC system. This proves the addition of the heat pump was a strategy that will end up paying dividends to owners in cold climates, especially now as the Winter months are making their way to many owners across the U.S. and European markets.
Nyland compared a brand new 2021 Model 3 to his older version of the car, which does not have a heat pump equipped. Performing stationary tests to see which system was more efficient in heating up the vehicle during a chilly December night was the perfect test in Nyland’s eyes, and he came out of it with results that proved Tesla’s new system was superior to the old one.
Nyland used Camp Mode to test the efficiency of the two cars. Camp Mode maintains a temperature in the cabin while the vehicle is stationary and is ideal for those who sleep in their cars overnight. Because it uses energy from the car’s battery to maintain a comfortable cabin temperature, it was ideal for it to be used during this testing scenario.
After three hours of heating the cabin, both vehicles showed a drop in the state of charge, of course. However, the differences in the drop were night and day. The heat pump-equipped 2021 Model 3 had dropped only 3% in the three-hour span, while the sedan’s pre-heat pump variant had lost 10% of its battery.
The 2021 Model 3 has a 73.5 kWh battery pack with little-t0-no degradation due to its new powertrain that had only 65 kilometers on it. It used only 735 W of energy per hour, meaning 2,205 W were used over the course of the test.
The older Model 3 evidently did not have the efficiency that the new, heat pump-outfitted Model 3 did. After starting at 56%, the three hours of heating the cabin had brought the car’s state of charge down to 46%, meaning it was using roughly three times the amount of energy that the heat pump did. This equated to 2170 W of energy being used per hour by the old Model 3.
It is no secret that using a heat pump is more efficient than the past PTC HVAC system was. Tesla installed the heat pump in the Model Y and made it standard upon the car’s first deliveries in March 2020. Tesla decided to then make it standard in the Model 3 after refreshing the car in October 2020.
Tesla formally adds Heat Pump to Model 3 parts catalog after ‘refresh’
More tests are likely to come that will compare the two systems, but this test shows the efficiency differences in the two cars while heating up. If you’re spending nights in your Model 3, the new 2021 variant may be the way to go to alleviate any concerns about range diminishment overnight.
Nyland’s video comparing the two Tesla vehicles is available below.
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
