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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
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Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
Tesla Full Self-Driving v14.2.2.5 hit my car back on Valentine’s Day, February 14, and since I’ve had it, it has become, in my opinion, the most confusing release I’ve ever had.
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
It has been about three weeks of driving on v14.2.2.5; I’ve used it for nearly every mile traveled since it hit my car. I’ve taken short trips of 10 minutes or less, I’ve taken medium trips of an hour or less, and I’ve taken longer trips that are over 100 miles per leg and are over two hours of driving time one way.
These are my thoughts on it thus far:
Speed Profiles Are a Mixed Bag
Speed Profiles are something Tesla seems to tinker with quite frequently, and each version tends to show a drastic difference in how each one behaves compared to the previous version.
I do a vast majority of my FSD travel using Standard and Hurry modes, although in bad weather, I will scale it back to Chill, and when it’s a congested city on a weekend or during rush hour, I’ll throw it into Mad Max so it takes what it needs.
Early on, Speed Profiles really felt great. This is one of those really subjective parts of the FSD where someone might think one mode travels too quickly, whereas another person might see the identical performance as too slow or just right.
To me, I would like to see more consistency from release to release on them, but overall, things are pretty good. There are no real complaints on my end, as I had with previous releases.
In a past release, Mad Max traveled under the speed limit quite frequently, and I only had that experience because Hurry was acting the same way. I’ve had no instances of that with v14.2.2.5.
Strange Turn Signal Behavior
This is the first Full Self-Driving version where I’ve had so many weird things happen with the turn signals.
Two things come to mind: Using a turn signal on a sharp turn, and ignoring the navigation while putting the wrong turn signal on. I’ve encountered both things on v14.2.2.5.
On my way to the Supercharger, I take a road that has one semi-sharp right-hand turn with a driveway entrance right at the beginning of the turn.
Only recently, with the introduction of v14.2.2.5, have I had FSD put on the right turn signal when going around this turn. It’s obviously a minor issue, but it still happens, and it’s not standard practice:
How can we get Full Self-Driving to stop these turn signals?
There’s no need to use one here; the straight path is a driveway, not a public road. The right turn signal here is unnecessary pic.twitter.com/7uLDHnqCfv
— TESLARATI (@Teslarati) February 28, 2026
When sharing this on X, I had Tesla fans (the ones who refuse to acknowledge that the company can make mistakes) tell me that it’s a “valid” behavior that would be taught to anyone who has been “professionally trained” to drive.
Apparently, if you complain about this turn signal, you are also claiming you know more than Tesla engineers…okay.
Nobody in their right mind has ever gone around a sharp turn when driving their car and put on a signal when continuing on the same road. You would put a left turn signal on to indicate you were turning into that driveway if that’s what your intention was.
Like I said, it’s a totally minor issue. However, it’s not really needed, and nor is it normal. If I were in the car with someone who was taking a simple turn on a road they were traveling, and they signaled because the turn was sharp, I’d be scratching my head.
I’ve also had three separate instances of the car completely ignoring the navigation and putting on a signal that is opposite to what the routing says. Really quite strange.
Parking Performance is Still Underwhelming
Parking has been a complaint of mine with FSD for a long time, so much so that it is pretty rare that I allow the vehicle to park itself. More often than not, it is because I want to pick a spot that is relatively isolated.
However, in the times I allow it to pull into a spot, it still does some pretty head-scratching things.
Recently, it tried to back into a spot that was ~60% covered in plowed snow. The snow was piled about six feet high in a Target parking lot.
A few days later, it tried backing into a spot where someone failed the universal litmus test of returning their shopping cart. Both choices were baffling and required me to manually move the car to a different portion of the lot.
I used Autopark on both occasions, and it did a great job of getting into the spot. I notice that the parking performance when I manually choose the spot is much better than when the car does the entire parking process, meaning choosing the spot and parking in it.
It’s Doing Things (For Me) It’s Never Done Before
Two things that FSD has never done before, at least for me, are slow down in School Zones and avoid deer. The first is something I usually take over manually, and the second I surprisingly have not had to deal with yet.
I had my Tesla slow down at a school zone yesterday for the first time, traveling at 20 MPH and not 15 MPH as the sign suggested, but at the speed of other cars in the School Zone. This was impressive and the first time I experienced it.
I would like to see this more consistently, and I think School Zones should be one of those areas where, no matter what, FSD will only travel the speed limit.
Last night, FSD v14.2.2.5 recognized a deer in a roadside field and slowed down for it:
🚨 Cruising home on a rainy, foggy evening and my Tesla on Full Self-Driving begins to slow down suddenly
FSD just wanted Mr. Deer to make it home to his deer family ❤️ pic.twitter.com/cAeqVDgXo5
— TESLARATI (@Teslarati) March 4, 2026
Navigation Still SUCKS
Navigation will be a complaint until Tesla proves it can fix it. For now, it’s just terrible.
It still has not figured out how to leave my neighborhood. I give it the opportunity to prove me wrong each time I leave my house, and it just can’t do it.
It always tries to go out of the primary entrance/exit of the neighborhood when the route needs to take me left, even though that exit is a right turn only. I always leave a voice prompt for Tesla about it.
It still picks incredibly baffling routes for simple navigation. It’s the one thing I still really want Tesla to fix.
Investor's Corner
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet,” BoA wrote.
Tesla received a tip of the hat from major Wall Street firm Bank of America on Wednesday, as it reinitiated coverage on Tesla shares with a bullish stance that comes with a ‘Buy’ rating and a $460 price target.
In a new note that marks a sharp reversal from its neutral position earlier in 2025, the bank declared Tesla’s Full Self-Driving (FSD) technology the “leading consumer autonomy solution.”
Analysts highlighted Tesla’s camera-only architecture, known as Tesla Vision, as a strategic masterstroke. While technically more challenging than the multi-sensor setups favored by rivals, the vision-based approach is dramatically cheaper to produce and maintain.
This cost edge, combined with Tesla’s rapidly expanding real-world data engine, positions the company to scale robotaxis far more profitably than competitors, BofA argues in the new note:
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet.”
The bank now attributes roughly 52% of Tesla’s total valuation to its Robotaxi ambitions. It also flagged meaningful upside from the Optimus humanoid robot program and the fast-growing energy storage business, suggesting the auto segment’s recent headwinds, including expired incentives, are being eclipsed by these higher-margin opportunities.
Tesla’s own data underscores exactly why Wall Street is waking up to FSD’s potential. According to Tesla’s official safety reporting page, the FSD Supervised fleet has now surpassed 8.4 billion cumulative miles driven.
Tesla FSD (Supervised) fleet passes 8.4 billion cumulative miles
That total ballooned from just 6 million miles in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and a staggering 4.25 billion in 2025 alone. In the first 50 days of 2026, owners added another 1 billion miles — averaging more than 20 million miles per day.
This avalanche of real-world, camera-captured footage, much of it on complex city streets, gives Tesla an unmatched training dataset. Every mile feeds its neural networks, accelerating improvement cycles that lidar-dependent rivals simply cannot match at scale.
Tesla owners themselves will tell you the suite gets better with every release, bringing new features and improvements to its self-driving project.
The $460 target implies roughly 15 percent upside from recent trading levels around $400. While regulatory and safety hurdles remain, BofA’s endorsement signals growing institutional conviction that Tesla’s data advantage is not hype; it’s a tangible moat already delivering billions of miles of proof.
News
Tesla to discuss expansion of Samsung AI6 production plans: report
Tesla has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla is reportedly discussing an expansion of its next-generation AI chip supply deal with Samsung Electronics.
As per a report from Korean industry outlet The Elec, Tesla purchasing executives are reportedly scheduled to meet Samsung officials this week to negotiate additional production volume for the company’s upcoming AI6 chip.
Industry sources cited in the report stated that Tesla is pushing to increase the production volume of its AI6 chip, which will be manufactured using Samsung’s 2-nanometer process.
Tesla previously signed a long-term foundry agreement with Samsung covering AI6 production through December 31, 2033. The deal was reportedly valued at about 22.8 trillion won (roughly $16–17 billion).
Under the existing agreement, Tesla secured approximately 16,000 wafers per month from the facility. The company has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla purchasing executives are expected to discuss detailed supply terms during their visit to Samsung this week.
The AI6 chip is expected to support several Tesla technologies. Industry sources stated that the chip could be used for the company’s Full Self-Driving system, the Optimus humanoid robot, and Tesla’s internal AI data centers.
The report also indicated that AI6 clusters could replace the role previously planned for Tesla’s Dojo AI supercomputer. Instead of a single system, multiple AI6 chips would be combined into server-level clusters.
Tesla’s semiconductor collaboration with Samsung dates back several years. Samsung participated in the design of Tesla’s HW3 (AI3) chip and manufactured it using a 14-nanometer process. The HW4 chip currently used in Tesla vehicles was also produced by Samsung using a 5-nanometer node.
Tesla previously planned to split production of its AI5 chip between Samsung and TSMC. However, the company reportedly chose Samsung as the primary partner for the newer AI6 chip.
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
