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If you were looking to lease Chevy’s new all-electric Equinox, it just got a lot cheaper. Chevy cut Equinox EV lease prices by nearly $140 per month. With new offers, the Chevy Equinox EV can be leased for as little as $379 per month.

After kicking off Equinox EV deliveries last month, Chevy is already introducing significant savings opportunities.

On Chevy’s website, 2024 Equinox EV lease prices start at just $379 per month. The deal is for 36 months, with $3,198 due at signing. It includes 10,000 miles a year and is based on an MSRP of $43,295. GM included $500 off for qualified lessees.

With an effective rate of $468, the 2024 Chevy Equinox EV is nearly $100 cheaper per month to lease than the Tesla Model Y.

According to online research firm CarsDirect, Tesla Model Y lease rates went up $50 this month. The Long Range model now starts at $449 with $4,143 due at signing, or $564 per month.

Meanwhile, the RS trim is significantly discounted. The Chevy Equinox RS can be leased for $429 for 36 months. With $3,109 due at signing, that amounts to $515 per month.

Chevy-Equinox-EV-lease-prices
2024 Chevy Equinox EV 3RS (Source: GM)

Chevy Equinox EV lease prices drop to just $379/mo

Previously, the RS trim had an effective cost of $651 per month ($569 for 39 months and $3,209 due at signing), meaning it’s $136 cheaper per month to lease.

Based on CarsDirect data, GM raised the 36-month residual values on the RS model to 75% from 68%, while the lease rate dropped from 7.3% to 5.5%.

Chevy Equinox EV trim

Starting Price
1LT FWD $34,995
2LT FWD $43,295
2RS FWD $44,795
3LT FWD $45,295
3RS FWD $46,795
Chevy Equinox EV prices (including $1,395 destination fee)

Chevy’s current 2LT FWD is the cheapest model hitting dealerships, starting at $43,295. The lower-priced $34,995 will be available to order later this year. All trims are eligible for the $7,500 federal tax credit.

Although this is a significant deal, Chevy Blazer EV lease prices are even more appealing. The 2024 Chevy Blazer EV is listed at $369 per month for 24 months. With $1,679 due upfront, the effective lease rate is $439 per month, only $10 more than the gas-powered model.

Chevy-Equinox-EV-lease-prices
Chevy Equinox EV 1LT interior (Source: GM)

Chevy isn’t the only one cutting EV lease prices. Honda slashed lease prices on its first electric SUV, the Prologue. The 2024 Honda Prologue now starts at $399 per month for 36 months (with $3,999 due at signing).

If you’re in the market for a new EV, you can take advantage of significant savings opportunities. Use our links below to find deals on popular models at a dealer near you.

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Cheap new Hyundai, Tesla sales crater, Ford levels up, and China doesn’t like spies

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Cheap new Hyundai, Tesla sales crater, Ford levels up, and China doesn't like spies

On this episode of Quick Charge, Hyundai continues to invest in new electric vehicles, this time teasing a $25,000 (ish) compact EV set to debut later this month, along with a new IONIQ model. On the domestic front, Tesla sales are cratering so hard that they’re making everyone else’s great numbers look bad, Ford is leveling up its self driving software, and China thinks the Europeans are spying on them.

We’ve got everything from controversial Masts (what do you call “tweets” on Mastodon?), wild claims from Chinese and European carmakers, and even a callback to a classic episode of John Boy and Billy radio – let us know what you think!

Prefer listening to your podcasts? Audio-only versions of Quick Charge are now available on Apple PodcastsSpotifyTuneIn, and our RSS feed for Overcast and other podcast players.

New episodes of Quick Charge are recorded Monday through Thursday (that’s the plan, anyway). We’ll be posting bonus audio content there as well, so be sure to follow and subscribe so you don’t miss a minute of Electrek’s high-voltage daily news!

Got news? Let us know!
Drop us a line at tips@electrek.co. You can also rate us on Apple Podcasts and Spotify, or recommend us in Overcast to help more people discover the show!

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Arizona’s largest battery storage project clinches $513M in financing

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Arizona's largest battery storage project clinches 3M in financing

Recurrent Energy has secured $513 million in financing for Arizona’s largest standalone battery storage project.

Solar and battery storage developer, owner, and operator Recurrent Energy, a subsidiary of Canadian Solar (Nasdaq: CSIQ), secured financing for its Papago Storage project in Maricopa County, Arizona.

The financing includes a $249 million construction and term loan, a $163 million tax equity bridge loan, and a $101 million letter of credit facility.

Construction of the 1,200 MWh Papago Storage is expected to start in Q3 2024 and come online in Q2 2025. The project holds a 20-year tolling agreement with electric utility Arizona Public Service Company and is expected to create 200 construction jobs. 

Recurrent will own and operate Papago Storage once it’s complete. The project will dispatch enough power for around 244,000 homes for four hours a day in support of renewable energy.

Ismael Guerrero, CEO of Recurrent Energy, said, “When we began developing Papago Storage in 2016, the Arizona storage market was in its infancy. Today, Arizona is one of the fastest-growing markets for energy storage in the United States, bolstered by the state’s expanding economy and cost-effective renewable energy resources.

“Today, we are thrilled to see nearly a decade of planning culminate in financing what will be the largest energy storage project in Arizona. We appreciate the continued support from our partners Nord/LB and MUFG in our shared mission to advance the clean energy transition.”

Read more: Oxford sets a new world record for solar panel efficiency


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Your personalized solar quotes are easy to compare online and you’ll get access to unbiased Energy Advisors to help you every step of the way. Get started here. –affiliate link

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Elon Musk claims Tesla’s new AI supercluster will grow to over 500 MW, record AI chip

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Elon Musk claims Tesla's new AI supercluster will grow to over 500 MW, record AI chip

Elon Musk claims Tesla’s new AI supercluster will grow to over 500 MW, making it one of, if not the biggest in the world. At the same time, the CEO claims Tesla is achieving some record-breaking performance with its next-en AI chip.

A few months ago, we reported that Tesla was having issues building a new expansion at Gigafactory Texas to house a new giant supercomputer to train Tesla’s AI.

At the time, we heard that Tesla was aiming for a 100 MW cluster to be ready by August. Musk canceled other projects at Tesla to focus construction resources on the expansion.

Commenting on drone videos of the expansion, Musk said that it will grow to over 500 MW over the next 18 months:

Sizing for ~130MW of power & cooling this year, but will increase to >500MW over next 18 months or so. Aiming for about half Tesla AI hardware, half Nvidia/other. Play to win or don’t play at all.

We previously noted that it was strange that Tesla was internally referring to the project as a Dojo project, which refers to Tesla’s own supercomputing hardware, but sources were also told that the cluster would use Nvidia compute power.

Now, Musk confirmed that Tesla plans to use both its own hardware and Nvidia’s, as well as other suppliers.

However, things are getting a little unclear as Musk seems to also imply that Tesla will use some of its HW4 computers for the training clusters:

HW4 generally refers to Tesla’s in-car computer with an in-house designed chip, while Dojo is used for training, like this new cluster.

It’s unclear here if Musk is talking about using inference computing for training or just talking about Tesla’s overall planned computing power.

Electrek’s Take

Elon had mentioned at Tesla’s shareholders meeting that the company now had Nvidia-level AI chips, but the stock didn’t even move from that announcement as Nvidia became the most valuable company in the world.

I think Tesla’s AI effort is still not super credible for the market. That happens when you claim that you are about to achieve self-driving by the end of the year every year for the past 5 years.

At this point, we need to see Tesla make significant improvements to FSD with each new update. It sounded like this new cluster would help achieve that but Elon also recently said that Tesla was not compute-constrained for training right now, so it’s hard to really understand what is holding up improvements at this point.

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