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Dissecting Tesla Model 3’s 2170 lithium ion battery cell, what’s inside?
A teardown video featuring Tesla Model 3’s 2170 lithium-ion battery cell was recently uploaded on YouTube, showing the components of the cylindrical cell and how it stacks up against the Model S and Model X’s 18650 battery cell.
Aries RC, a channel dedicated to battery improvements in the remote control aircraft market, indicated that they acquired a 2170 lithium-ion cell from Tesla’s Gigafactory in Nevada. The host noted that the first thing he did was to connect the battery to a resistor, in order to completely drain the cell. Next, he made a cut at the positive terminal of the battery unit to expose a plastic dielectric barrier on the cell. This barrier is utilized by Tesla as a means to prevent the jelly roll inside from physically touching the top of the battery, which would cause a short circuit. As noted by the YouTube channel’s host, the negative terminal of the 2170 lithium-ion cell also features a similar dielectric barrier.
The Model 3’s 2170 cell features a thin layer of insulation on its interior, which, according to the RC enthusiast, is an outer layer of material that protects the cell wall’s integrity during a thermal runaway. In instances when the lithium-ion cell does heat up, however, Tesla has implemented a safety system in the form of three small cooling holes at the top of the battery. These small holes are about 0.5 mm wide, and are designed to vent out gases when the cell reaches high temperatures.
The jelly roll of the 2170 battery is wrapped in a copper sheet, which acts as a ground for the battery. A grounding strip is also attached to the copper strip using tap welding, which, according to the YouTube channel’s host, is particularly impressive, since tap welding is notoriously difficult to accomplish on thin pieces of metal.
The jelly roll of the Model 3’s battery cell features a lithium-nickel-cobalt-aluminum oxide that’s responsible for storing energy in the battery. Fully unrolled, the strip fitted with the compound measured roughly 32 inches long, roughly a third longer than the strip in Tesla’s 18650 battery, which is roughly 24 inches long.
RELATED: Watch this Tesla Model S battery teardown performed by veteran EV modders
As could be seen in a side-by-side comparison of the jelly rolls of the 2170 and 18650 cells, Tesla’s newest form factor 2170 cell features a roll that is significantly longer and thicker than the latter. Overall, the YouTube host suggested that Tesla seems to be accurate in its estimates that the 2170 cell carries roughly 30 percent more charge than the 18650 lithium-ion cell in the Model S and X.
Tesla uses thousands of 2170 cells to enable its mass market Long Range Model 3 to travel up to 310 miles on a single charge. Produced in partnership with Panasonic at the Nevada Gigafactory, Tesla’s 2170 lithium-ion battery modules proved to be one of the sources of the Model 3’s production bottlenecks last year. As revealed by recent building permits, however, Tesla is currently conducting large-scale improvements to the Gigafactory, aimed at automating its battery module production line.
Apart from the Model 3, Tesla also uses its 2170 lithium-ion cell for its Powerpack and Powerwall battery solutions. As confirmed by Tesla CEO Elon Musk through Twitter, however, the 2170 cells will not be making their way to the Model S and X, at least as of writing.
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
