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Experts explain Tesla’s 4680 battery production ramp and challenges

Image Credit: Falk Melzer

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Tesla has been pretty open about the idea that its next-generation of vehicles and its 20 million EV target for 2030 would rely on its ability to scale its 4680 battery production. This task, at least according to experts, has proven to be especially challenging. 

Unveiled during Battery Day nearly two years ago, 4680 cells are expected to provide Tesla with substantial manufacturing cost reductions and efficiencies. According to statements from several experts in the field, the use of larger cells and a dry-coat electrode process could enable Tesla to halve the cost of a Model Y battery.

Twelve experts who are reportedly close to Tesla, or at least familiar with the company’s new battery technology, shared their insights with Reuters. Among the 12 experts, nine reportedly have close ties to Tesla, while three have examined the company’s previous battery technology thoroughly through an extensive teardown. 

According to the publication’s sources, Tesla is only halfway towards its goal of successfully rolling out its 4680 cells. While the EV maker already sees benefits from the use of larger cells, Tesla is still reportedly seeing challenges with scaling its dry-coat electrode process. 

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This, according to the experts, was because Tesla’s dry-coat electrode process is so new and unproven that the company is still having trouble scaling its operations to the point where savings become substantial. Still, the publication’s sources have stated that Tesla would probably still be able to fully implement its 4680 cells’ dry coat electrode process next year. 

2019 Nobel laureate and lithium-ion battery pioneer Stan Whittingham believes that Tesla would ultimately solve the challenges associated with its 4680 battery production ramp, though he also noted that Elon Musk might have been too optimistic with his target timeframe for the next-generation batteries’ rollout. “I think he will solve it, but it won’t be as quick as he likes. It’s going to take some time to really test it,” Whittingham said.

Reuters‘ sources noted that if all the potential efficiencies from the use of 4680 batteries are realized, the manufacturing cost for the Model Y’s 4680 structural battery could fall to just about $5,000-$5,500 — roughly half the cost of a 2170 pack. So far, Tesla is reportedly seeing about $2,000 to $3,000 worth of cost savings, mainly due to its use of bigger cells. 

With Tesla’s 2170 battery packs, the company reportedly uses about 4,400 cells for the Model Y. The 2170 packs also require 17,600 points that need to be welded — about four welds per cell — to create a battery that can be integrated into the all-electric crossover. This is reduced significantly with the use of 4680 cells. The experts noted that Tesla only needs 830 cells for its Model Y 4680 structural pack, and since there are only two weld points for each cell, the total weld points per vehicle drops to just 1,660 points. 

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But while Tesla has made tons of headway with its 4680 batteries, and while the company already sees savings due to its use of larger cells, the EV maker still needs to master and scale its dry electrode process. Once that’s done, Tesla could effectively attain the holy grail of its next-generation batteries. “Bulking up the battery cell helped a lot in boosting efficiency, but pushing for 50% cost savings for the cell as a whole is another matter. That will depend on whether Tesla can deploy the dry-coating process successfully in a factory,” one of Reuters‘ sources said. 

Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Elon Musk

Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story

Tesla confirmed HW3 vehicles cannot run unsupervised FSD, replacing its free upgrade promise with a discounted trade-in.

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Tesla has officially confirmed that early vehicles with its Autopilot Hardware 3 (HW3) will not be capable of unsupervised Full Self-Driving, while extending a path forward for legacy owners through a discounted trade-in program. The announcement came by way of Elon Musk in today’s Tesla Q1 2026 earnings call.

The history here matters. HW3 launched in April 2019, and Tesla sold Full Self-Driving packages to owners on the understanding that the hardware was sufficient for full autonomy. Some owners paid between $8,000 and $15,000 for FSD during that period. For years, as FSD’s AI models grew more demanding, HW3 vehicles fell progressively further behind, eventually landing on FSD v12.6 in January 2025 while AI4 vehicles moved to v13 and then v14. When Musk acknowledged in January 2025 that HW3 simply could not reach unsupervised operation, and alluded to a difficult hardware retrofit.

The near-term offering is more concrete. Tesla’s head of Autopilot Ashok Elluswamy confirmed on today’s call that a V14-lite will be coming to HW3 vehicles in late June, bringing all the V14 features currently running on AI4 hardware. That is a meaningful software update for owners who have been frozen at v12.6 for over a year, and it represents genuine effort to keep older hardware relevant. Unsupervised FSD for vehicles is now targeted for Q4 2026 at the earliest, with Musk describing it as a gradual, geography-limited rollout.

For HW3 owners, the over-the-air V14-lite update is welcomed, and the discounted trade-in path at least acknowledges an old obligation. What happens next with the trade-in pricing will define how this chapter ultimately gets written. If Tesla prices the hardware path fairly, acknowledges what early adopters are owed, and delivers V14-lite on the June timeline it committed to today, it has a real opportunity to convert one of the longest-running sore subjects among early adopters into a loyalty story.

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Elon Musk

Tesla isn’t joking about building Optimus at an industrial scale: Here we go

Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.

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Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”

Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.

Credit: TESLA

Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.

As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.

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Investor's Corner

Tesla (TSLA) Q1 2026 earnings results: beat on EPS and revenues

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Credit: Tesla

Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.

The earnings results come after Tesla reported a miss on vehicle deliveries for the first quarter, delivering 358,023 vehicles and building 408,386 cars during the three-month span.

As Tesla transitions more toward AI and sees itself as less of a car company, expectations for deliveries will begin to become less of a central point in the consensus of how the quarter is perceived.

Nevertheless, Tesla is leaning on its strong foundation as a car company to carry forward its AI ambitions. The first quarter is a good ground layer for the rest of the year.

Tesla Q1 2026 Earnings Results

Tesla’s Earnings Results are as follows:

  • Non-GAAP EPS – $0.41 Reported vs. $0.36 Expected
  • Revenues – $22.387 billion vs. $22.35 billion Expected
  • Free Cash Flow – $1.444 billion
  • Profit – $4.72 billion

Tesla beat analyst expectations, so it will be interesting to see how the stock responds. IN the past, we’ve seen Tesla beat analyst expectations considerably, followed by a sharp drop in stock price.

On the same token, we’ve seen Tesla miss and the stock price go up the following trading session.

Tesla will hold its Q1 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.

You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.

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