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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.
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.
Is the Mirai (or another similar H2 vehicle) a “Tesla Killer”? Not a chance!
Originally published on EVannex
Elon Musk
Elon Musk teases crazy outlook for xAI against its competitors
Musk’s response was vintage hyperbole, designed to rally supporters and dismiss doubters, something his responses on social media often do.
Elon Musk has never been one to shy away from crazy timelines, massive expectations, and outrageous outlooks. However, his recent plans for xAI and where he believes it will end up compared to its competitors are sure to stimulate conversation.
In a bold and characteristic response on X, Elon Musk fired back at a recent analysis that positioned his AI venture, xAI, as lagging behind industry frontrunners.
The post, from March 14, came as a direct reply to forecaster Peter Wildeford’s assessment, which drew from benchmarks and reporting to rank AI developers.
xAI will catch up this year and then exceed them all by such a long distance in 3 years that you will need the James Webb telescope to see who is in second place
— Elon Musk (@elonmusk) March 14, 2026
Wildeford placed Anthropic, Google, and OpenAI in a virtual tie at the top, with xAI and Meta trailing by about seven months. Chinese players like Moonshot, Deepseek, zAI, and Alibaba were estimated to be nine months behind, while France’s Mistral lagged by about a year and a half.
Musk’s response was vintage hyperbole, designed to rally supporters and dismiss doubters, something his responses on social media often do.
He claimed xAI would “catch up this year,” meaning by the end of 2026, erasing that seven-month deficit against the leaders. But he didn’t stop there.
Musk escalated his vision to 2029, predicting xAI would “exceed them all by such a long distance” that observers would need the James Webb Space Telescope, NASA’s orbiting observatory stationed about 930,000 miles from Earth, to spot whoever lands in second place. This analogy underscores Musk’s confidence in xAI’s trajectory, implying an astronomical lead that could redefine the AI landscape.
Breaking down these claims reveals Musk’s strategic optimism. First, the short-term catch-up: xAI, launched in 2023, has already released models like Grok, but recent benchmarks, including those for Grok 4.2, have shown it falling short in capabilities compared to rivals.
Anthropic’s Claude series, Google’s Gemini, and OpenAI’s GPT models dominate in areas like reasoning, coding, and multimodal tasks. Musk’s assertion suggests aggressive scaling in compute, talent, or architecture, perhaps leveraging xAI’s ties to Tesla’s Dojo supercomputers or Musk’s vast resources, to close the gap swiftly.
The longer-term dominance by 2029 paints an even more audacious picture. Musk envisions xAI not just parity but supremacy, outpacing competitors in innovation speed and model sophistication.
This could involve breakthroughs in energy-efficient training, real-world integration, like Tesla’s robotics, or ethical AI alignment, aligning with Musk’s stated goal of “understanding the universe.”
Critics, however, point to parallels with Tesla’s Full Self-Driving delays; one reply highlighted Musk’s 2023 promise of FSD readiness. Musk has made this promise for many years, and although the system has been strong and improving, it is still a ways off from the completely autonomous operation that was expected by now.
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Musk’s comment highlights the intensifying U.S.-centric AI race, with xAI challenging the “three-way” dominance noted by Wharton professor Ethan Mollick, whom Wildeford quoted. As geopolitical tensions rise—evident in the Chinese firms’ lag—Musk’s tease could spur investment and talent wars.
Yet, it also invites scrutiny: Will xAI deliver, or is this another telescope-needed mirage? In an industry where timelines slip but stakes soar, Musk’s words keep the spotlight on xAI’s ambitious path forward.
Elon Musk
Tesla Terafab set for launch: Inside the $20B AI chip factory that will reshape the auto industry
Tesla set to launch “Terafab Project: A vertically integrated chip fabrication effort combining logic processing, memory, and advanced packaging.
Tesla is making one of the boldest bets in its history. On March 14, Elon Musk posted on X that the “Terafab Project launches in 7 days,” pointing to March 21, 2026 as the start date for what he has described as a vertically integrated chip fabrication effort combining logic processing, memory, and advanced packaging.
Tesla first confirmed Terafab on its January 28, 2026 earnings call, where Musk told investors the company needs to build a chip fabrication facility to avoid a supply constraint projected to materialize within three to four years. But the seeds were planted even earlier. At Tesla’s annual general meeting last year, Musk warned that even in the best-case scenario for chip production from their suppliers, it still wouldn’t be enough, and declared that building a “gigantic chip fab” simply had to be done.
While there has been no official announcement on where Tesla plans to break ground on the massive Terafab, all signs point to the North Campus of Giga Texas in Austin.
Months of speculation has surrounded Tesla’s North Campus expansion at Giga Texas, where drone footage captured by observer Joe Tegtmeyer revealed massive construction site preparation just north of the existing factory on a scale that rivals the original Giga Texas footprint itself.
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The project is projected to produce 100–200 billion AI and memory chips annually, targeting 100,000 wafer starts per month, at an estimated cost of $20 billion. Tesla is targeting 2-nanometre process technology and anticipated to be the most advanced node currently in commercial production. Dubbed the Tesla AI5 chip, the chip will pack 40x–50x more compute performance and 9x more memory than AI4, and will be among the first products Terafab factory is set to produce. This highly optimized, and massively powerful inference chip is designed to make full self-driving (FSD) and Tesla’s Optimus robots faster, safer, and with full autonomy.
(Credit: Tesla)
This is where Terafab becomes a genuine game-changer. If Tesla successfully builds a 2nm chip fab at scale, it becomes one of only a handful of entities that’s capable of producing AI silicon in-house, with competitive implications that extend far beyond Tesla’s own vehicles, and potentially positioning Tesla as a chip supplier or licensor to other industries.
Credit: @serobinsonjr/X
The next-gen Tesla AI chips will power advancements in Full Self-Driving software, the Cybercab Robotaxi program, and the Optimus humanoid robot line. Musk’s projections for Optimus require chip volumes that no existing external supplier can commit to on Tesla’s timeline.Competitors like Waymo and GM’s Cruise remain dependent on third-party silicon, leaving them exposed to the same supply chain vulnerabilities Tesla is now working to eliminate entirely.
The Terafab launch this week may not mean a factory opens its doors overnight, but it signals Tesla is serious about owning the entire AI stack, from software to silicon.
Elon Musk
What is Digital Optimus? The new Tesla and xAI project explained
At its core, Digital Optimus operates through a dual-process architecture inspired by human cognition.
Tesla and xAI announced their groundbreaking joint project, Digital Optimus, also nicknamed “Macrohard” in a humorous jab at Microsoft, earlier this week.
This software-based AI agent is designed to automate complex office workflows by observing and replicating human interactions with computers. As the first major outcome of Tesla’s $2 billion investment in xAI, it represents a powerful fusion of hardware efficiency and advanced reasoning.
At its core, Digital Optimus operates through a dual-process architecture inspired by human cognition.
Macrohard or Digital Optimus is a joint xAI-Tesla project, coming as part of Tesla’s investment agreement with xAI.
Grok is the master conductor/navigator with deep understanding of the world to direct digital Optimus, which is processing and actioning the past 5 secs of…
— Elon Musk (@elonmusk) March 11, 2026
Tesla’s specialized AI acts as “System 1”—the fast, instinctive executor—processing the past five seconds of real-time computer screen video along with keyboard and mouse actions to perform immediate tasks.
xAI’s Grok model serves as “System 2,” the strategic “master conductor” or navigator, providing high-level reasoning, world understanding, and directional oversight, much like an advanced turn-by-turn navigation system.
When combined, the two can create a powerful AI-based assistant that can complete everything from accounting work to HR tasks.
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The system runs primarily on Tesla’s low-cost AI4 inference chip, minimizing expensive Nvidia resources from xAI for competitive, real-time performance.
Elon Musk described it as “the only real-time smart AI system” capable, in principle, of emulating the functions of entire companies, handling everything from accounting and HR to repetitive digital operations.
Timelines point to swift deployment. Announced just days ago, Musk expects Digital Optimus to be ready for user experience within about six months, targeting rollout around September 2026.
It will integrate into all AI4-equipped Tesla vehicles, enabling parked cars to handle office work during downtime. Millions of dedicated units are also planned for deployment at Supercharger stations, tapping into roughly 7 gigawatts of available power.
Oh and it works in all AI4-equipped cars, so your car can do office work for you when not driving.
We’re also deploying millions of dedicated Digital Optimus units in the field at Superchargers where we have ~7 gigawatts of available power.
— Elon Musk (@elonmusk) March 12, 2026
Digital Optimus directly supports Tesla’s broader autonomy strategy. It leverages the same end-to-end neural networks, computer vision, and real-time decision-making tech that power Full Self-Driving (FSD) software and the physical Optimus humanoid robot.
By repurposing idle vehicle compute and extending AI4 hardware beyond driving, the project scales Tesla’s autonomy ecosystem from roads to digital workspaces.
As a virtual counterpart to physical Optimus, it divides labor: software agents manage screen-based tasks while humanoid robots tackle physical ones, accelerating Tesla’s vision of general-purpose AI for productivity, Robotaxi fleets, and beyond.
In essence, Digital Optimus bridges Tesla’s vehicle and robotics autonomy with enterprise-scale AI, promising massive efficiency gains. No other company currently matches its real-time capabilities on such accessible hardware.
It really could be one of the most crucial developments Tesla and xAI begin to integrate, as it could revolutionize how people work and travel.
Elon Musk teases crazy outlook for xAI against its competitors
Tesla Terafab set for launch: Inside the $20B AI chip factory that will reshape the auto industry
