The Tesla Model Y and Model 3 are both designed to cater to the mass market. Both vehicles share 75% of their parts since they’re optimized for quick production. But even vehicles that are three-quarters similar have key differences, some of which were revealed in the recently-released Tesla Model Y Owner’s Manual.
From their tow eye hooks to their speakers to their wheel configuration, the Model Y and Model 3 feature subtle differences that make them distinct from each other. Here are 12 of these key differences, as outlined by Tesla owner-enthusiast Tesla Raj in a recent video.
We’ve highlighted some of the key differentiators below.
Tow Eye Hook
Tesla has added a second tow eye hook to the back of the Model Y for added convenience when towing the vehicle from either end.
In times when a Tesla Model Y may need to be transported on a flatbed truck, the vehicle can be placed in Transport Mode and winched by way of a tow eye hook and onto the back of a flatbed truck while its wheels remain free-rolling.
Compared to the Tesla Model 3, which is equipped with a tow eye hook only in the front of the vehicle, Model Y has a cover on the right side of the rear bumper to conceal the second tow eye. This can be seen in the vehicle’s diagram in the Model Y Owner’s Manual.
- Tesla Model Y frunk tow eye (Credit: Ben Sullins)
Emergency Door Release Handles
The Tesla Model 3 met some criticism when it was produced with emergency release handles only available on the front doors. Tesla addressed the issue in Model Y by adding emergency release handles on all doors. The Model Y rear emergency release handle is located under a flap inside the bottom of the rear door pocket.
Emergency release handles are only required in situations where the vehicle does not have power. “In the unlikely situation that Model Y has no power, these electrically-powered buttons at the top of the door handles no longer work. However, the doors are equipped with mechanical releases so that you can still open them,” notes Tesla in its Model Y Owner’s Manual.
- Tesla Model Y emergency door release (Credit: Tesla)
- Tesla Model Y rear door emergency release (Source image: Eweaver1983271 via Reddit)
Trunk Space, Rear Seats, and Legroom
No surprises, but the trunk space for Model Y is drastically larger than that of the Model 3. Factoring in Model Y’s taller hatchback design versus Model 3’s traditional trunk and the difference in cargo space becomes obvious. Model Y boasts a massive 68 cubic feet of cargo volume compared to 15 cubic feet for Model 3.
The rear seats of the Model 3 and Model Y are also quite different in the way that the all-electric sedan’s fold 60/40. Model Y, on the other hand, has three seats, all of which could be folded down individually. The Model 3’s rear seats can also be folded down only through the rear, while the Model Y provides two ways to fold down its second-row seats and includes a center passthrough when the middle seat is folded down.
Model Y has two switches on the left side of the trunk that gives owners ease of access to the second-row seats directly from the trunk. Activating the switch will fold-down each corresponding rear seat.
The Model Y seats appear to be the same design as the Model 3, however, are mounted on risers for better legroom and overall comfort than Model 3. Rear seat legroom in the Model Y is improved over Model 3 by roughly 15%, although it looks like some of it was borrowed from the 2% reduction in front legroom when compared to Model 3. The headroom between Model Y and Model 3 is relatively the same and differ only by 1-2%.
Tesla Model Y vs Model 3 Leg Room
- Front: Model Y – 41.8 in (1,063 mm) vs Model 3 – 42.7 in. (1,085 mm)
- Rear: Model Y – 40.5 in (1,029) vs Model 3 – 35.2 in (894 mm)
- Tesla Model Y trunk (Credit: Eweaver1983271 via Reddit)
- Tesla Model Y rear seat fold down levers (Credit: Tesla)
- Tesla Model Y rear door emergency release (Source image: Eweaver1983271 via Reddit)
Wiring System and Heat Pump
Arguably the most notable difference between the Model Y and Model 3 in terms of core design improvement is the wiring system and heat management. Tesla added a heat pump to the Model Y, which could help the all-electric crossover maximize its range during winters. In addition and as pointed out by TeslaRaj in his video, the diagram for Model Y appears to show a single track for wiring as opposed to Model 3 which has two.
Teslarati will explore both of these points in detail in an upcoming story.
Wheel Size and Specifications
The Tesla Model Y’s wheels are 9.5 inches wide, which are slightly larger than the Model 3’s 8.5-inch wheels. It should be noted that the Model Y Performance comes with a staggered wheel setup, with the front wheels being 9.5 inches and the rear wheels being 10.5 inches wide.
See more: Tesla Model Y with Performance Upgrade Uberturbine Wheels
Rear Speakers
Both the Tesla Model 3 and the Tesla Model Y are fitted with a suite of premium speakers that provide a great listening experience for owners. They do have differences in the way that the Model 3’s rear speakers are located on a shelf behind the rear seats, while the Model Y has its rear speakers on the trunk hatch.
Coat Hooks
Both the Tesla Model 3 and the Model Y come with coat hangers, though the all-electric sedan’s is located on the crossbar that goes between the B pillars. The Model Y, with its seamless glass roof, has its coat hangers in the second row.
Inductive Phone Charger
The Tesla Model Y is equipped with a wireless charging pad, as well as USB-A and USB-C slots. On the other hand, the Model 3 is fitted with wired charging options and a dual USB-A slot. Owners would likely appreciate the Model Y’s wireless charging features, as most flagship and midrange mobile devices today come standard with wireless charging. See Tesla Model Y wireless phone charger.
Rear USB ports
The USB ports of the Model 3 and Model Y in the second row are also different. The Model 3 is fitted with two USB-A ports, while the Model Y is equipped with two USB-C ports. Considering that the two vehicles share 75% of their parts, it would not be surprising if Tesla ends up equipping the Model 3 with USB-C ports in the future.
Tesla notes in the Model Y Owner’s Manual that the rear USB ports are for charging devices and do not communicate with the vehicle like the front USB ports that can be used for recording via TeslaCam.
Power Liftgate
The Model Y is equipped with a power liftgate, which provides owners an automatic and convenient way to open and close the vehicle’s rear hatch by way of the center touchscreen or Tesla mobile app. This feature is not present in the Model 3, which is one of the reasons why aftermarket power truck mods became quite popular in the Tesla community.
See Tesla Model Y’s power liftgate in action.
A big thanks to Tesla Raj for compiling this info. Check out this video below.
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, Tennessee.
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.
Elon Musk
Elon Musk responds to SpaceX’s ESG rating and says its rockets won’t go electric
It is safe to say SpaceX won’t be going for electric rockets anytime soon.
In a characteristically blunt reply on X, SpaceX frontman Elon Musk stated, “Unfortunately, electric rockets are impossible,” following reports that MSCI had assigned SpaceX its lowest possible ESG rating of CCC.
The assessment, issued just this past week, coinciding closely with SpaceX’s public market debut, placed the company on par with nations like Russia in sustainability scoring and cited significant risks in environmental, social, and governance areas.
MSCI flagged SpaceX’s exposure to rocket emissions and other operational impacts, alongside governance concerns such as concentrated control by Musk and limited shareholder protections. Musk’s terse comment directly addressed the environmental pillar, underscoring a core physical constraint that ESG frameworks often overlook when evaluating high-thrust industries.
Unfortunately, electric rockets are impossible
— Elon Musk (@elonmusk) June 21, 2026
Electric propulsion systems do exist and are widely used in space. Ion thrusters and Hall-effect thrusters accelerate ionized propellant, typically xenon or krypton, using electric fields, achieving very high specific impulse, often exceeding 3,000 seconds compared to roughly 300–450 seconds for chemical rockets.
This efficiency makes them ideal for satellite station-keeping, orbit raising, and deep-space missions where low thrust over long durations is sufficient. SpaceX’s own Starlink satellites employ electric propulsion for these purposes.
However, launching from Earth’s surface demands something entirely different: enormous thrust delivered rapidly to overcome gravity and atmospheric drag. A typical orbital-class booster must generate thrust far exceeding its weight, often in the millions of Newtons within seconds.
Chemical rockets achieve this through exothermic combustion of dense propellants, producing high-mass-flow, high-velocity exhaust. Electric systems, by contrast, expel very small amounts of mass at extremely high speeds. Generating equivalent thrust would require impractical onboard power levels, massive energy storage or generation systems, and prohibitive added mass, rendering the approach infeasible with current or near-term technology.
Musk has previously expressed a similar sentiment, noting a desire for electric orbital rockets while acknowledging the inescapable requirements of Newton’s third law and energy delivery. The distinction is clear: electric propulsion excels once a vehicle is already in space; it cannot replace the high-thrust chemical phase required to reach orbit from the ground.
The episode illustrates broader critiques of ESG ratings. Proponents argue they incentivize better risk management and long-term sustainability. Detractors, including Musk—who has previously called ESG a “scam”—contend that such metrics can penalize essential activities when no practical alternative exists, potentially discouraging innovation in sectors like space access.
Elon Musk dubs the S&P 500 ESG as “outrageous scam” after Tesla gets booted from index
SpaceX has sought to mitigate launch-related impacts through reusability: Falcon 9 boosters have flown more than 30 times in some cases, dramatically lowering the manufacturing and emissions burden per kilogram delivered to orbit. Starship’s design further emphasizes rapid reusability and methane propellant, which can theoretically be produced via sustainable pathways.
Ultimately, Musk’s remark serves as a reminder that certain engineering realities persist regardless of scoring systems. As humanity expands its presence in space for communications, science, and exploration, balancing genuine environmental progress with technological necessity remains a central challenge.
ESG frameworks may evolve, but the fundamental limits of electric launch propulsion are unlikely to change soon.
Elon Musk
Tesla just trademarked MEGAPOD: here’s what it is
Tesla just trademarked ‘MEGAPOD’ with the United States Patent and Trademark Office (USPTO), its latest move in what seems to be a hint that the company is incredibly focused on its AI efforts and storage needs as compute increases.
The application carries serial number 99893717 and lists the applicant as Tesla, Inc., located at 1 Tesla Road, Austin, Texas 78725.
The filing remains in ‘live pending’ status, and it is a new application waiting for assignment to an examining attorney. It has not yet been published or registered.
Tesla just trademarked MEGAPOD
Summary:
“Modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence processing, computer networking hardware, electrical power distribution units, and… pic.twitter.com/3l85DsKadl— Robin (@xdNiBoR) June 19, 2026
According to the official goods and services description in the application, Tesla describes ‘MEGAPOD’ as:
“Modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence processing, computer networking hardware, electrical power distribution units, and cooling systems, sold as a unit; self-contained modular computing hardware systems for artificial intelligence workloads; integrated computer hardware platforms for artificial intelligence computing, namely, enclosures containing computer hardware, power distribution hardware, and cooling hardware, sold as a unit; downloadable software for monitoring, managing, optimizing, and regulating modular artificial intelligence computing hardware systems.”
This description specifies complete, self-contained modular units that integrate servers and specialized AI processing hardware with networking components, power distribution, and cooling systems. It also includes associated downloadable software for oversight and optimization of these systems. The language emphasizes hardware sold “as a unit” and enclosures that combine the necessary elements for AI computing workloads.
Tesla has an established history of developing and commercializing modular hardware systems. Its Megapack product line, for example, consists of utility-scale battery energy storage systems designed as containerized units for grid applications. The MEGAPOD filing follows a similar pattern of protecting a name for modular, integrated hardware platforms, this time focused on artificial intelligence computing infrastructure.
This could be an early move, especially as Tesla did not have trademark rights to the word ‘Cybercab,’ the name of its self-driving, ride-hailing-focused vehicle.
Trademark applications of this type allow companies to secure priority rights to a name for defined categories of goods and services. The USPTO examines applications for compliance with legal requirements, including distinctiveness and absence of conflicts with prior marks. If the application proceeds successfully through examination, publication, and any opposition period, it could result in a federal trademark registration providing nationwide protection. This is what Tesla’s obvious intention is with ‘MEGAPOD.’
Public reports and analysis suggest MEGAPOD could represent modular, container-style AI computing pods designed for easy deployment. These would bundle servers, AI accelerators, power systems, and cooling into self-contained units suitable for distributed AI workloads. This approach aligns with Tesla’s announced AI compute strategy.
In March 2026, Elon Musk outlined plans for “Digital Optimus” (also referred to as Macrohard), a joint Tesla-xAI project for AI agents capable of handling complex digital tasks. The plans include running these agents on Tesla’s AI4 hardware in parked vehicles as well as dedicated compute units installed at Supercharger stations, which collectively offer substantial unused electrical capacity.
What is Digital Optimus? The new Tesla and xAI project explained
A modular hardware platform like the one described in the ‘MEGAPOD’ filing would support scalable, rapid deployment of such distributed compute resources. It could complement Tesla’s other AI infrastructure efforts, including the Dojo supercomputer used for training models and the development of AI systems for autonomous driving and robotics, by enabling edge or regional AI inference without reliance on traditional centralized data centers.







