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Tesla Model S vs. Toyota Mirai Comparison

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With the introduction of the new hydrogen-powered Toyota Mirai (the name means “future” in Japanese), there has been a lot of media hype about vehicles that use hydrogen fuel cells as their power source. Toyota, Honda and a number of other automobile companies have announced plans to build cars based on fuel cell technology.

Fundamentally, a hydrogen fuel cell produces electricity via an electro-chemical reaction that drives an electric motor that creates the motive force for a car. The technology requires high-pressure storage of liquid hydrogen, a fuel cell to convert the H2 to electrons, a control system to deliver the resultant electricity to an electric motor and/or battery that in turn drives the wheels of the vehicle. It’s a workable, if somewhat complex system that produces zero emissions and water as a by-product.

In the media, there are three major claims that are being made about cars powered by hydrogen: (1) that H2 is a 21st century energy source and will ultimately become the preferred power source for automobiles; (2) that hydrogen-powered fuel cells represent a significant improvement in environmentally safe automotive fuel, and (3) that cars like the Toyota Mirai represent a major threat to battery electric vehicles (BEVs) like the Tesla Model S.

Are any or all of these claims true? We thought we’d take a look.

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After going through the popular literature and government/academic reports, we decided that the best way to present the array of information collected was with an infographic, “Tesla Model S vs. Toyota Mirai: A Technology/Vehicle Comparison,” that examines four broad categories of concern:

  • underlying technology that powers the vehicle
  • the two vehicles themselves
  • technology required for refueling the vehicle, and
  • environmental impact

Tesla Model S vs. Toyota Mirai

Tesla Model S vs. Toyota Mirai Infographic

Technology

EV technology has been around for 100 years. It represents a remarkably simple method for automotive power that is constrained solely by the capacity of the vehicle’s batteries. Fuel cells are evolving rapidly and provide more energy capacity than modern Li-Ion batteries, but they require liquid hydrogen to be stored on board the vehicle in pressurized tanks. The Tesla Model S has an energy capacity of either 60 kWh or 85 kWh while the Toyota Mirai produces 114 kWh. The overall energy efficiency (from an environmental viewpoint) of BEVs is dependent on the efficiency of the electric grid from which a BEV obtains its diet of electrons. The efficiency of hydrogen-powered cars is impacted by the process that extracts hydrogen from other sources and the method by which hydrogen is transported to a refueling station.

The winner: It’s close, but the simplicity of the BEV system gives the underlying technology of the Model S a slight edge.

The Vehicles

Both the Tesla Model S and the Toyota Mirai are expensive, but that’s the price of new technology. The Model S is a premium, high performance automobile in ever sense of the word. It is a visually beautiful car that conjures images of a Aston Martin or Jaguar and has been lauded as one of the best sedans in the world. It has won praise from virtually every automotive media source, and is one of the safest, roomiest cars on the planet. The Toyota Mirai has an eccentric look that gives it a boxy Prius-like feel. It appears to provide good, basic transportation, but it is not for those who want a bit more than good, basic transportation. Finally, the Tesla Model S is here today. By 2017, there will be about 160,000 Model S vehicles on the road. Toyota projects that only 3,000 Mirais will be in the field by the same date.

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The winner: No contest! The Model S is far superior to the Mirai in virtually every respect except for range.

Fueling the Vehicle

In our view, one of the major benefits of BEVs is that you refuel them at home, overnight, while you’re sleeping, so that your Model S is “full” every morning. Unless you travel long distances on a regular basis, you will rarely need a Tesla Supercharger or any other refueling source away from home. That’s huge, and often get’s lost in the discussion of “range anxiety” that always seems to invade the thinking of those who don’t own a Model S. Although fuel cells are sexy, it seems odd to us that Toyota has returned to a 20th century fueling station paradigm. In essence, there is little difference between refueling a Mirai and refueling a Camry. Sure, the fuel is different, but you have to hunt for a specific refueling station as your Mirai slowly depletes its hydrogen. No charging at home—ever.

The winner: No contest! Refueling your vehicle at home is a convenience that represents 21st century thinking. Model S provides that convenience. Mirai does not.

Environmental Impact

Both the Model S and the Mirai are environmentally impressive. Both have zero emissions and relatively low “well-to-wheel” inefficiencies. In our view, the beauty of a BEV is that it becomes increasingly friendly to the environment as our electric grid infrastructure improves. There is no need to separately transport fuel to a refueling station (a requirement for a hydrogen fuel cell vehicle) eliminating both the cost and the environmental impact of secondary fuel transport.

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The winner: It’s a toss up. Both cars are environmentally friendly and both will improve as the grid becomes cleaner and as hydrogen extraction processes become more efficient and cost effective.

As a young engineering student I was taught that when you consider alternative systems that both achieve the same result, always choose the less complex approach. That’s common sense, but it appears that when faced with the same choice, Toyota chose the more complex option. Possibly, their engineers or marketing people were driven by concern about range, but that’s simply not as big an issue as they think it is. BEVs represent simplicity, and in an increasingly complex world, that’s something that many consumers like.

Is the Mirai (or another similar H2 vehicle) a “Tesla Killer”? Not a chance!

 

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Originally published on EVannex

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Elon Musk

Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration

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Credit: CNBC

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!”

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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.”

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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

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“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.

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Investor's Corner

SpaceX makes $20 billion move to optimize its balance sheet

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Credit: SpaceX

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.

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.

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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.

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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.

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Elon Musk

SpaceX confirms third massive compute deal at Colossus data center

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Credit: xAI Memphis

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.

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.

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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.

SpaceX makes first acquisition post-IPO

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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.

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