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Tesla Model 3 vs 2018 Nissan Leaf – A side by side comparison
Tesla’s mission is simple and includes getting other automakers to join in the party. The Chevy Bolt, quirky as it may look, technically beat Tesla to market with a 200+ mile range EV that can be had for the $35,000 ballpark. Nissan, who I humbly believe to be the only other automaker currently taking full EVs seriously, has just announced their all new 2018 Leaf. The party is undoubtedly slow, but other automakers such as Volvo have at least talked about “electrification” (clever marketing shorthand for hybrids) but we can no longer deny that electric vehicles are here and their growth will not be able to be stopped.
Just as every concept EV talked about before 2016 was touted as a “Tesla killer,” it is now impossible not to compare every new electric offering with the much anticipated Tesla Model 3. So let’s do just that. The table below highlights some key specs for each.
| NISSAN LEAF | TESLA MODEL 3 | |
| Base price, before tax credits | $29,990 | $35,000 |
| Price with options | SL – $36,200 | Premium + EAP – $45,000 |
| Range (miles) | 150 (higher coming 2019) | 220 (310 for $9,000 upgrade) |
| Battery | 40 kWh/ (higher coming 2019) | Undisclosed |
| Charge time – Level 2 | Up to 22 miles per hour | Up to 30 miles per hour (std batt) |
| Charge time – Level 3 | Up to 88 miles per ½ hour | Up to 130 miles per ½ hour (std) |
| Charging network | No dedicated network | Tesla Supercharger, pay per use |
| Overall Length/Width | 176.4” / 70.5” | 184.8” / 82.2” |
| Cargo space | 23.6 cf | 15 cf |
| Body style | 4-door hatchback | 4-door sedan |
| Infotainment | Apple CarPlay, Android Auto | Tesla’s own |
| Main display | 7” | 15” |
| 0-60 mph time | 8 seconds (Motor Trend est.) | 5.6 seconds |
| Driver’s Assist Suite | ProPILOT ($2,200) | Autopilot ($5,000) |
| Automatic Emergency Braking | Standard | Standard |
If you want to get into a relatively long range EV (150 miles or greater) for the lowest possible price, the base 2018 Nissan Leaf wins out. I will also assume that you will be able to get your hands on a Leaf much sooner than a Model 3. Finally, if you absolutely insist on a hatchback, the Leaf has it.
Outside of those three things, and possibly the still large size of a Model 3, I can’t personally find any reason to choose a Leaf over a Model 3. To be clear I’m proud of Nissan for upping their game a bit. The 2018 version is in my very humble opinion, far superior in the looks department to the frog-like 2017 it is replacing. Nissan’s V-Motion grille is sharp, and hopefully takes your attention off the obvious charge port cover above it. The lines of the car itself are much more closely aligned with Nissan’s other offerings, which I find to have adequate design. Similarly, the rear tail lights are modern and edgy. If you can excuse all the buttons, the interior looks sharp. The Apple and Android faithful alike will appreciate the available car play integration. The bottom line for me is that every EV is a step in the right direction, even if this car won’t compel families to ditch the gasoline completely. In the absence of a reliable and dedicated fast charging network for long distance travel, the Leaf is still primarily a commuter car. 150 miles of range will simply allow a few after work activities without much thought.
I am excited to see the range and price that Nissan makes available in 2019 because for now, the base cost per mile of $199.93 falls far short of Tesla’s $159.09. I’d also like to see them re-think their battery management system, which I am to understand leaves something to be desired. One owner described his experience with a 2014 Leaf as losing 20% capacity thus far.
When looking at what we know about the Model 3 however, I can’t really compare the Leaf in any serious manner. I’m trying to be reasonable, to give Nissan a fair shake, but there are several things that make me a Tesla fanatic that are sorely missing from the Leaf – and any other current EV for that matter – that may or may not ever come close.
Supercharging. EVs will remain a commuter or secondary car until you can load up the kids and head to Disney with the reasonable assurance that there are plenty of chargers along the way that will a) be working, and b) charge quickly. Tesla has made a huge commitment in this front because they know that’s what it takes.
Over the air updates. I have not yet heard of Nissan taking this approach, but I suspect if they do, it would be limited to maps and small changes. I don’t foresee the Leaf being able to give your car the sudden ability to automatically open your garage four years after you’ve purchased it. Some current automakers do have software updates for their vehicles, but my understanding is that you have to bring it in to the dealership to have it done. This totally defeats the purpose.
Dealerships. You’d be hard pressed to find a harsher critic of dealerships than I. Whether discussing the 2011 Jeep Wrangler that took me 3 hours to get for the exact price I walked in and demanded, or that time I spoke on behalf of a recently widowed neighbor with an actual cash budget who could not, no matter how you pitch it, afford that extended dealer’s warranty package, I can go on and on and about how much I dislike the experience. It always takes hours. You always get passed around from salesperson to manager to finance person. You may even get your credit run 10 times simultaneously (I’m talking to you, Hyundai dealership!) No thank you. I will order my car online, know the exact price and meet you there with a pre-printed check for the exact amount owed.
Looks. I get it, I really do, people love hatchbacks. My Model S is a hatch and has accommodated many a Home Depot trip. My once beloved Scion tC was a hatch, and once hauled 27 boxes of Pergo brand laminate floor planks. Even the Jeep with the horrible dealership experience picked up a washing machine. A washing machine! But I simply cannot wrap my head around the idea that you could conceivably compare the gorgeous, timeless and sleek looks of the Model 3 with the quirky, if a bit modern and sharp, Nissan Leaf.
Performance. There’s a reason I never considered a hybrid or EV before. Now that I’m a bit older and have the budget to pick a car I actually like, I’m not going to voluntarily drive something that takes 8 seconds to get to 60. I want tight steering, good handling, and the ability to make my passengers squeal with delight when I punch it.
Interior. This is a personal preference and I’m with you if you think the minimalistic interior of the Model 3 is crazy. It is. But I can just about promise you that you will not miss all those buttons. I sat in a Porsche Macan at the auto show and while I expected to feel great inside a new offering from a brand with as much clout as Porsche, I was too busy wondering what in the world all those buttons did. It’s almost a joke how many.
Confession: I started this post excited about the new Leaf. I tweeted about it first thing this morning; the more the merrier in EV world if you ask me. But when getting right down to the specifications, it’s hard not to see that everyone else still has a long way to go. They’re taking baby steps while Tesla is competing in the long jump.
What do you think? Do the two cars compare? Tell us in the comments!
Elon Musk
Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration
Tesla has finally clarified the situation regarding the viral crash in Texas where a Model 3 slammed into a home.
CEO Elon Musk replied to reports on Monday that stated the crash was due to the company’s Full Self-Driving or Autopilot suite, which seemed unlikely to those who are familiar with it. Video showed the car slamming into a house at an excessive rate of speed, making it highly unlikely the crash was due to the suite’s operation, as it does not travel at those speeds in residential areas.
Musk said:
“This makes no sense. FSD drives slowly through neighborhood streets, and this was a high-speed crash!”
Tesla’s Head of AI, Ashok Elluswamy, added context, revealing that the company’s data shows the driver “manually overrode self-driving by pressing the accelerator all the way to 100%.”
He revealed the speed reached by the car was 73 MPH, and the accelerator was still pressed “even after the crash.”
Yup. In this case, the driver manually overrode self-driving by pressing the accelerator all the way to 100% of the accel pedal in this residential area. They reached a speed of 73 mph during the crash, and had the accelerator pressed even after the crash.
— Ashok Elluswamy (@aelluswamy) June 22, 2026
Authorities are reportedly investigating “whether Tesla’s Autopilot system played a role after a Model 3 left the roadway…slammed through a brick house at high speed and fatally struck Matha Avila as she sat inside,” the New York Post reported.
The National Highway Traffic Safety Administration (NHTSA) is now investigating the crash. Tesla will work with the agency to provide them with whatever information they need in order to clarify the cause of the crash.
Similarly, Tesla had claims of a fatal accident in Harris County, Texas, a few years ago. Early reports indicated that Full Self-Driving was the cause of the crash. After the National Transportation Safety Board (NTSB) worked with Tesla, the agency proved there was “no use of the Autopilot system at any time during this ownership period of the vehicle, including the time frame up to the last transmitted timestamp on April 17, 2021.”
Tesla alleged “driverless” crash in Texas: What is known so far
“Application of the accelerator pedal was found to be as high as 98.8 percent,” the NTSB said in their findings. The highest recorded speed in the five seconds leading up to the impact was 67 miles per hour. The area where the crash occurred is residential, and Texas State laws have default speed limits of 30 MPH in residential streets.
This appears to be a similar situation. However, an investigation will prove what happened for sure.
Investor's Corner
SpaceX makes $20 billion move to optimize its balance sheet
SpaceX announced today that it commenced its first-ever public bond offering, marking a significant step in the newly public company’s capital markets strategy.
The company announced an offering of senior unsecured notes expected to raise at least $20 billion.
The move comes just a short time after SpaceX completed one of the largest initial public offerings in history. In mid-June, the company priced shares at $135 and raised more than $85 billion, propelling founder Elon Musk’s net worth past the trillion-dollar mark and giving the firm substantial liquidity.
🚨 SpaceX has announced its inaugural offering of senior unsecured notes.
The net proceeds will be used to repay outstanding loans under its bridge loan facility in full.
This inaugural debt offering represents a financing milestone for SpaceX, which previously depended… pic.twitter.com/pcOZuVbTRv
— TESLARATI (@Teslarati) June 22, 2026
According to the company’s SEC filing, the net proceeds from the notes will be used primarily to repay in full the outstanding borrowings under its existing bridge loan facility, cover related fees and expenses, and fund general corporate purposes. The offering is being conducted under Rule 144A, as well as Regulation S, targeting qualified institutional buyers and non-U.S. investors. Notes will be unsecured obligations ranking equally with other unsubordinated debt.
The $20 billion bridge loan was used to refinance approximately $17.5 billion in higher-cost “junk” debt tied to X and xAI. SpaceX had merged with xAI in February 2026 in an all-stock deal. The bridge facility, which matures in September 2027, had represented the bulk of SpaceX’s long-term debt.
SpaceX officially acquires xAI, merging rockets with AI expertise
In connection with the bond launch, SpaceX disclosed it held approximately $100.8 billion in cash and cash equivalents as of June 19. Investor calls began on the announcement date, with pricing and launch expected shortly thereafter. Rating agencies have assigned investment-grade ratings to the proposed bonds, reflecting confidence in SpaceX’s dominant position in commercial launches and the growth trajectory of its Starlink internet offering.
The debt raise also allows SpaceX to optimize its balance sheet by replacing short-term, higher-cost bridge financing with longer-date, lower-cost fixed-income securities. This provides greater financial flexibility to support capital-intensive initiatives, including the development of Starship, the expansion of the Starlink constellation, and the integration of AI capabilities following the xAI combination.
SpaceX shares (NASDAQ: SPCX) fell sharply on the news, dropping over 16 percent overall on the market on Monday. The stock had surged initially after debuting but pulled back amid profit-taking and broader market dynamics.
Overall, the bond offering underscores SpaceX’s transition to a mature public company with access to diverse funding sources. It positions the firm to pursue its long-term vision of multiplanetary expansion and AI infrastructure, while maintaining a disciplined approach to its capital structure in a high-growth but capital-heavy industry.
Elon Musk
SpaceX confirms third massive compute deal at Colossus data center
SpaceX confirmed today that it has officially signed its third massive compute deal, providing compute at its Colossus data center in Southaven, Mississippi.
Reflection AI will gain immediate access to NVIDIA GB300 chips at SpaceX’s Colossus 2 data center. In return, Reflection will pay SpaceX $150 million per month starting on July 1, with total payments reaching approximately $6.3 billion if the contract runs through its duration, which is until 2029. Either party can terminate the agreement with 90 days’ notice after the initial three-month period.
CNBC first reported the deal.
🚨 SpaceXAI has agreed to a new compute deal with Reflection AI.
Reflection gets access to NIVIDIA GB300s, and will pay $150M per month to SpaceXAI for the compute. pic.twitter.com/bNPare8U5u
— TESLARATI (@Teslarati) June 22, 2026
This latest partnership highlights SpaceX’s strategy of commercializing its massive Colossus supercomputing infrastructure, originally developed to power Elon Musk’s Grok AI models. The company has rapidly expanded its customer base in the AI sector following its February 2026 merger with xAI, a transaction that valued the combined entity at $1.25 trillion.
SpaceX has previously signed significant compute deals with other major players.
It granted Anthropic exclusive access to the full capacity of its Colossus 1 data center, which exceeds 300 megawatts and includes over 220,000 NVIDIA GPUs. Details from SpaceX’s IPO filings indicate Anthropic will pay $1.25 billion per month through May 2029, potentially generating around $45 billion over the term of the deal.
Additionally, Google agreed to pay SpaceX $920 million per month for compute capacity from October 2026 through June 2029. This 32-month period will provide Google access to roughly 110,000 NVIDIA GPUs, along with supporting processors and memory. Capacity ramps up through September at a reduced fee, with termination options after the first year.
SpaceXA also established arrangements for computing power with Cursor, an AI coding startup. SpaceX acquired them in a $60 billion all-stock deal.
These arrangements position SpaceX’s collective position as an AI infrastructure powerhouse with high-margin revenue potential. The Google deal alone could generate nearly $29.5 billion over its term, while the Reflection contract adds another $6.3 billion.
Combined with the Anthropic arrangement, SpaceX stands to realize tens of billions in revenue from compute leasing in the coming years, which diversifies beyond SpaceX’s traditional rocket launches and Starlink operation.
The deals underscore growing demand for advanced AI training and inference capacity amid chip shortages and surging model development needs. Reflection, valued at $25 billion and focused on “American open intelligence” with government and national security ties, cited recent restrictions on closed models as validation for open-source approaches.
For SpaceX, the partnerships transform capital-intensive data centers into flexible revenue sources while supporting its broader AI ambitions after the company has gone public.







