Rivian has officially launched the next-generation R1S and R1T, new versions of the company’s flagship electric vehicles.
“We continue to evolve our flagship R1 vehicles,” CEO RJ Scaringe said, “offering quality and performance without compromise. Our revamped R1S and R1T push the technical boundaries further, creating our most capable products to date.”
Rivian aimed to refine and improve performance, design, range, and overall ownership experience with the new R1T and R1S, bringing everything from new drivetrains to new interior aesthetics to the EVs without compromising any of the features that owners loved about the first generation.
Additionally, Rivian is rolling out its new Autonomy Platform, which was developed in-house and utilizes eleven internally developed cameras along with five radars that perform over 250 trillion operations per second.
“For most owners, their R1 Gen 2 will be the most powerful computer that they own,” VP of Autonomy and AI for Rivian, James Philbin, said.
Let’s dive into some of the improvements Rivian has employed:
Performance
Rivian’s next-gen R1 platform now features more power, performance, and range, all stemming from a new drive unit offered in its Tri and Quad-Motor configurations. Dual-Motor has not gone anywhere either, and still offers great performance metrics:
- Dual-Motor Our Dual-Motor delivers incredible all-wheel drive capability along with 665 horsepower and 0–60 mph in as quick as 3.4 seconds for the Performance variant
- Tri-Motor Our all-new 850 horsepower Tri-Motor packs two motors in the rear and one in front for a blend of exceptional power and range. The Tri-Motor R1T delivers 0–60 mph in 2.9 seconds while offering an estimated range of 380 miles. In Conserve Mode, the estimated range is up to 410 miles.
- Quad-Motor For peak adventure, our new 1,025 horsepower Quad-Motor delivers 0–60 mph in less than 2.5 seconds in R1T — and ¼ mile in 10.5 seconds — with a staggering 1,198 lb-ft of torque when using Launch Mode. 60–80 mph acceleration is 1.5 seconds, with incredible torque control at each wheel for superior on-road performance and off-road capability.
Ride and Handling
Rivian also focused on the ride and handling experience in the R1 lineup for this second-generation vehicle launch. The suspension system has been fully re-engineered, improving on what customers called a “sport-tuned feel” in the first-generation EVs. Rivian decided to go with a “smoother” ride for the new R1T and R1S, which is adjustable to ensure comfortable on and off-road capabilities.
Vehicle equipment has also been refined. Rivian developed new wheels and fitted them with new tires, including a redesigned 22″ aerodynamic wheel design and Pirelli-developed tires to increase range.
For Performance, Rivian is going with an Ultra-High-Performance Michelin tire that will be available on the Quad-Motor configurations. Additionally, for a “well-rounded” experience, Goodyear has a 20″ ADV tire that offers “balanced all-around capability with the rolling-resistance of an all-season,” and comes standard.
Range and Batteries
Three battery pack sizes will still be offered by Rivian, but the Max and Large batteries have been completely re-engineered and offer ranges of 420 and 330 miles, respectively, based on estimations. They will continue to use 2170 cylindrical cells, and the pack enclosure features a “large high-pressure de-casting” system to simplify manufacturing and reduce mass.
The new Standard Pack will feature lithium-iron-phosphate (LFP) chemistry and provide an EPA-estimated 270-mile range.
140 miles of range can be regained in as little as 20 minutes and are compatible with all major public high-speed charging networks. This includes the Rivian Adventure Network and the Tesla Supercharger Network.
Design and Experience
Rivian honed in on new features with the R1T and R1S and also added two new premium interiors, new exterior paint options, and new darkout trim options.
These are in addition to the new wheel and tire choices, and now vehicles come with a new electronically tinted glass roof, new in-cabin storage, interior lighting themes, new digital interfaces, and new cell shading designs for the different drive modes. It has also improved on the wireless charger.
Surround Sound Audio with Dolby Atmos is available with Rivian Premium Audio.
Refined Electrical Architecture and Compute Platform
The second-gen R1 features new electrical architecture and a new compute platform that was developed in-house by the Rivian hardware and software teams.
“While the exterior of the R1 looks similar, the electrical system is completely redone, providing a significant increase in features as well as a dramatic increase in sensing and compute capability,” Rivian’s SVP of Electrical Hardware, Vidya Rajagopalan, said.
Trimming the ECU count from 17 in the first-gen to just 7 in the second-gen, the “massive simplification” was part of a shift in zonal architecture. Infotainment, autonomy, and vehicle access, as well as battery management, all have their own ECUs. Every other vehicle function is controlled by the remaining three.
Rivian Autonomy Platform
The Rivian Autonomy Platform utilizes “11 internally developed cameras and five radars performing over 250 trillion operations per second, an industry-leading level of compute power.”
The cameras are high-resolution and now include 4K HDR units, which have 360-degree visibility and can see three-times farther than the previous system, as well as 10 seconds ahead at highway speeds.
These are the most camera megapixels of any EV in North America and enable improved dynamic range and clear vision in high-contrast scenarios, like tunnel entrances and exits.
Rivian is also utilizing a cabin-facing camera in the rearview mirror to detect both driver fatigue and distraction when operating in Enhance Highway Assist mode, which will roll out later this year.
The Autonomy Compute Module is backed up by dual NVIDIA DRIVE Orin processors, delivering 10 times more compute performance than the previous system.
Pricing
The new R1S will start at $75,900 and the R1T at $69,900. Dual-Motor configurations can be ordered today and are available immediately. Tri-Max is expected to be launched in the late Summer, while Quad Max will come shortly after.
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Just hours after Starship Flight 13 achieved a successful soft splashdown of its upper stage in the Indian Ocean on July 24, Elon Musk announced an ambitious next step for the company’s next launch of the rocket.
“Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on [the] next flight,” the SpaceX CEO posted on X on Friday.
That “next flight” is expected to be Flight 14. The plan involves returning the Starship upper stage, commonly called the “ship,” to the Starbase launch tower in Texas and catching it mid-air using the same mechanical “chopsticks” arms that have already proven themselves with the Super Heavy booster.
Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on next flight
— Elon Musk (@elonmusk) July 25, 2026
A successful catch would mark the first time an orbital-class upper stage has been recovered this way, advancing SpaceX’s goal of full and rapid reusability for the entire vehicle.
SpaceX has already demonstrated the tower-catch technique multiple times with Super Heavy. The first successful catch came on Flight 5 in October 2024, when Booster 12 was plucked from the sky by the Mechazilla arms. Subsequent flights, including those involving Boosters 14 and 15, repeated the feat. Several of those recovered boosters were later inspected, refurbished, and flown again, proving the system’s viability for quick turnaround.
Traditional reusable rockets, such as SpaceX’s own Falcon 9 or Blue Origin’s New Shepard, land on legs either on land or droneships. Rocket Lab has recovered its small Electron first stages by helicopter, but those are far lighter vehicles.
SpaceX Starship just nailed something it’s never done before
The China Academy of Launch Vehicle Technology (CALT), a subsidiary of the China Aerospace Science and Technology Corp. (CASC), completed a catch of its booster on July 10. They are the only entity besides SpaceX to attempt and complete the feat.
Flight 13 provided encouraging data. The ship executed a controlled reentry, flipped, and soft-landed intact in the ocean after deploying Starlink satellites, offering the first clear post-splashdown views of an undamaged heat shield. The Super Heavy booster, meanwhile, experienced a harder splashdown in the Gulf of Mexico.
Musk has previously stressed that ship catches would only follow multiple successful soft ocean landings to minimize risk of debris over land.
If Flight 14 succeeds, SpaceX would take a major stride toward routine, rapid reuse of both stages—critical for lowering launch costs and supporting ambitious plans for lunar and Mars missions. For now, teams are reviewing the Flight 13 data. Should everything check out, the next Starship flight could deliver one of the most spectacular recoveries in aerospace history.
In a move echoing its earlier commitment to open innovation, Tesla CEO Elon Musk announced recently that the company plans to make the design and software of its Model S and Model X fully open source.
This follows the same approach Tesla took with its original Roadster, releasing all available design, engineering, and diagnostic materials in November 2023 so that “whatever we have, you now have.”
Just as Tesla made the original Roadster design & software open source, we plan to do the same with Model S & X
— Elon Musk (@elonmusk) July 24, 2026
The Model S, introduced in 2012, was Tesla’s first mass-produced vehicle and a groundbreaking luxury electric sedan. It offered impressive range, rapid acceleration, and over-the-air software updates that redefined expectations for electric cars.
The Model X, launched in 2015, built on that foundation as a high-performance electric SUV notable for its distinctive falcon-wing doors, spacious interior, and advanced safety features. Both models served as flagships that helped establish Tesla as a leader in the EV industry and popularized long-range battery-electric vehicles.
Production of the Model S and Model X was wound down earlier in 2026, with manufacturing ending in the second quarter. Tesla redirected the Fremont factory space previously used for these vehicles toward higher-priority projects, including Optimus humanoid robots and the Cybercab autonomous vehicle.
By the time of Musk’s open-source announcement, custom orders had closed and only remaining inventory was available.
Open-sourcing the designs and software offers several clear advantages. Owners of these aging but still capable vehicles gain better access to technical documentation, diagnostic tools, and software resources, making independent repairs and modifications easier and more affordable.
Independent repair shops and third-party specialists can support the large existing fleet without relying solely on Tesla’s service network. Enthusiasts and engineers can study real-world implementations of Tesla’s battery, powertrain, and software systems, potentially accelerating broader industry progress in electric mobility.
The step aligns with Tesla’s 2014 patent pledge and its overall mission to advance sustainable transport by sharing hard-won knowledge rather than locking it behind proprietary walls.
By releasing these materials now that the models have left production, Tesla ensures continued support for its early adopters while freeing internal resources for future technologies. The open-source release of the original Roadster already enabled simulations, community projects, and deeper technical understanding.
Extending that practice to the Model S and Model X should deliver similar benefits on a larger scale, helping keep these influential vehicles relevant and repairable for years to come
Tesla flexed one incredible Robotaxi metric during the Q2 Earnings Call that skeptics have to hate to hear. The company’s platform has already driven more than 380,000 miles of unsupervised ride-hailing across several states with no notable incidents.
During the company’s Q2 Earnings Call on Wednesday, Vice President of AI, Ashok Elluswamy, said:
“First of all, I’d like to state that the Robotaxi program has been operating extremely well. Especially in terms of safety, the program has had an impeccable safety record. We have driven more than 380,000 miles of unsupervised Robotaxi, now across six cities in two different states. We have had zero notable incidents. Any reports have been of other actors impacting us when we were stationary. I like to emphasize how safe the operation has been so far. Zero notable incidents over 380,000 miles.”
Elluswamy’s claim over Robotaxi miles is a significant milestone for Tesla in the grand scheme, especially considering this is a sizeable number of miles without any incident.
0 notable incidents across over 380,000 miles traveled by Robotaxi
— Tesla (@Tesla) July 22, 2026
Tesla’s self-driving approach is much different than that of other companies. Tesla has maintained that vision is the only thing needed to have a solid and effective self-driving suite. Many self-driving companies utilize things like LiDAR, sensors, and other elements to improve performance, but Elluswamy sent a jab at those who believe it’s needed.
“Historically, the so-called experts have always claimed that you need LiDARs, radars, HD maps, and the entire kitchen sink to drive safely. Here we show that such is not true. You can have safe, comfortable, and affordable autonomy with just cameras. This record should be a huge validation of Tesla’s entire AI approach.”
The feat of accumulating this many miles without any driver behind the wheel is impressive. The thing is, Tesla is also doing this across several different locations, with varying traffic rules, pedestrian levels, weather patterns, and other important factors.
While Tesla is not ready to roll out an unsupervised platform completely, it is a slow but steady indication that the company is well on its way to figuring things out.
The company’s attitude toward expansion is slow, safe, and controlled, and despite this huge milestone, it will still be some time until we see Tesla truly unleash unsupervised rides more aggressively.
SpaceX wants to catch Starship for launch 14, Elon Musk says
Tesla to open source Model S and Model X designs and software
