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Tesla Model S vs. Toyota Mirai Comparison
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.
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
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.
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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.
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.
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.
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Is the Mirai (or another similar H2 vehicle) a “Tesla Killer”? Not a chance!
Originally published on EVannex
Elon Musk
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Elon Musk told SpaceX staff AI revenue will soon dwarf rockets and Starlink combined entirely.
Elon Musk told SpaceX employees this week that artificial intelligence, not rockets, will soon carry the company’s revenue. In a roughly 29 minute internal address posted on SpaceX’s X account on Tuesday, Musk said AI revenue will pass every other line of business at SpaceX “probably in September” and pull further ahead by the fourth quarter.
The numbers he gave are specific. SpaceX currently runs 1.4 gigawatts of AI compute capacity. Musk wants that at 10 gigawatts by the end of 2027, a jump he tied directly to revenue: “if we bring 10GW of AI online by the end of next year, it will be $300 billion to $500 billion a year in revenue.” He called those “big numbers,” which undersells a projection larger than what most countries produce in a year.
We made rockets reusable and are rebuilding the internet in space. The next challenge: making life multiplanetary and understanding the true nature of the universe
Watch @ElonMusk deliver a company update to @SpaceX employees pic.twitter.com/5c8rxoCQfu
— SpaceX (@SpaceX) August 11, 2026
Musk went further on where AI fits into SpaceX’s future. “Probably in four or five years, AI will be 99% of the value of SpaceX,” he told staff, adding that digital intelligence would eventually run “a trillion times” ahead of biological intelligence as computing scales. He tied that growth to the company’s founding mission, telling employees “we must win on AI, because the future is overwhelmingly AI and robots,” with the payoff meant to help fund Starship and a Mars program that increasingly runs through Terafab, the joint Tesla, SpaceX and xAI chip plant.
Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry
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None of this is entirely new territory. SpaceX told investors much the same story during its first earnings call as a public company on August 4, where Musk moved the company’s $1 trillion revenue target up a year to 2030 and said Starlink could someday carry a majority of the world’s internet. What the all hands video adds is a hard deadline and a specific power figure Musk had not given publicly before, along with a franker pitch to his own workforce that AI, not launch cadence, is now the thing SpaceX is betting its future on.
The AI revenue itself is not coming from SpaceX training its own models. It is largely Starlink acting as the network layer for xAI’s workloads, plus SpaceX renting out compute capacity directly, the same approach behind the roughly $16 billion the company spent on AI infrastructure in a single quarter.
Musk closed the video with a pitch aimed at recruiting and retention rather than investors, telling employees that anyone who helps SpaceX win the AI race will eventually get the chance to go to the moon or Mars themselves. Whether SpaceX can turn 1.4 gigawatts into 10 in seventeen months is the more immediate question, and one that will show up in quarterly numbers well before anyone leaves Earth.
In a new note to investors on Tuesday, Morgan Stanley analyst Andrew Percoco said that Tesla has one big financial question to answer for investors regarding its Robotaxi rollout, Full Self-Driving software, and Optimus.
Percoco said in the note that, for the most part, investors are still very positive about the direction the company is headed. However, there are some things the firm would like to see, and they have to do with financials.
Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue
Tesla bulls are more than convinced that the company’s Full Self-Driving software is proof it can develop physical AI. Financially, however, there are still some questions, especially on elevated spending, which CEO Elon Musk said would occur as the company works to roll out Robotaxi faster and continue developing its Optimus robot.
The latter two are where Tesla will have to prove progress to investors, as Percoco writes that both projects “will require clearer evidence that Robotaxi is scaling and more tangible Optimus proof points to support the ROI on elevated capex.”
Percoco said the second quarter earnings call did not change his long-term thesis of where Tesla is positioned in the AI race, which is out in front. However, there are concerns that weaker gross margins and higher R&D spend will stress financials, and that has “sharpened our (and investors’) focus on measurable progress across Robotaxi and Optimus.”
Additionally, Robotaxi still needs to be proven with more operation in existing cities while maintaining safety but improving how many rides it gives in any given time, he said. For Optimus, Percoco wrote that he is “still looking for evidence beyond commentary around SOP.”
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Morgan Stanley put Percoco in charge of covering Tesla after long-time analyst Adam Jonas transitioned to the automotive side.
Currently, Morgan Stanley has a $415 price target on Tesla and a ‘Hold’ rating on the stock. It is trading at around $330 at the time of publication, which was 2:30 P.M. on the East Coast.
SpaceX’s massive investment in AI will make it a big winner, Argus Research said after the company’s successful earnings call last week.
The firm also upgraded shares to a Buy from Hold and set a $160 price target.
SpaceX (NASDAQ: SPCX) is currently recovering from its heavy AI infrastructure investments, as it spent nearly $16 billion in Q2 alone. The company did this primarily by monetizing high-demand GPU compute capacity at a much faster pace than traditional data center economics would suggest.
Company CFO Bret Johnsen said that SpaceX would be able to pay back anything on new deployments within a year.
There are plenty of ways the company can do this:
Leasing excess compute capacity through contracts
SpaceX has already built Colossus and Colossus II, largely for its own model training. However, much of that capacity is already rented out to third parties. It already has major deals with Anthropic, Google, and Reflection AI. These partnerships are adding billions per month to SpaceX’s spreadsheet.
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High utilization driven by industry-wide scarcity
The demand for advanced AI training and inference capacity continues to exceed what is available for use. SpaceX can fill new racks quickly after they come online, so the capital deployed converts into revenue with minimal idle time.
Additionally, management and outside observers have described the new compute capital as behaving more like a cost-of-goods-sold than traditional multi-year capex, especially because of this rapid monetization pattern.
Capacity has already scaled from ~0.4 GW a year to 1.4 GW annually by the end of Q2. There are targets of more than 2 GW by year-end.
High incremental margins on the rental business once capacity is online
GPU cloud providers often operate at strong gross margins. SpaceX can monetize capacity that was already partially built or can be added efficiently. This means that incremental EBITDA margins on the rental revenue are usually high. This accelerates cash recovery relative to the gross capital outlay.
Parallel monetization of its own AI software and applications
Beyond pure infrastructure rental, SpaceX also generates revenue from Grok through subscriptions and usage, from X through ads, data, and other related services, enterprise APIs, and the planned integration of the Cursor coding tools acquisition.
These application layers ride on the same compute infrastructure and provide additional high-margin streams that could offset build-out costs. AI-segment revenue overall rose sharply to about $2.6 billion in Q2, according to Motley Fool. This was driven primarily by the infrastructure contracts, but the software side is also partially responsible.
Efficient, large-scale deployment and vertical integration advantages
SpaceX has emphasized the rapid construction of power and cooling infrastructure and favorable cost-per-megawatt economics relative to industry benchmarks in some disclosures.
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Combined with its ability to scale capacity aggressively and the fact that many contracts start generating revenue within months of capacity coming online, the effective payback compresses dramatically compared with more conventional multi-year data-center projects.
SpaceX’s dominant near-term recovery path will turn the AI clusters into a hyperscale-style compute rental business for other leading AI companies while still using a portion for internal models.
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Tesla has one big financial question to answer for investors: Morgan Stanley
