Elon Musk
Tesla Model 3 wins ‘most economical EV to own’ title in new study
The Tesla Model 3 has captured another crown in a recent study showing the most cost-effective EVs
The Tesla Model 3 recently captured the title of “most economical electric vehicle to own” in a new study performed by research firm Zutobi.
Perhaps one of the biggest and most popular reasons people are switching to EVs is the cost savings. Combining home charging, lower maintenance costs, and tax credits has all enabled consumers to consider EVs as a way to save money on their daily drivers. However, there are some EVs that are more efficient and cost-effective than others.
Tesla police fleet saves nearly half a million in upkeep and repair costs
Zutobi‘s new study shows that EV cost-effectiveness comes at different levels. For example, some cars are simply better than others on a cost-per-mile basis. The study used a simple process to determine which EVs are more cost-effective than others by showing how much it would cost to drive 100 miles.
National averages for energy rates have been used to calculate the cost as they widely vary from state to state.
The Rear-Wheel Drive Tesla Model 3 was listed as the most economical vehicle in the study:
“The standard Tesla Model 3 is the most economical electric vehicle to drive in 2025. With a usable battery capacity of 57.5 kWh and a real-world range of 260 miles, it costs just $3.60 to drive 100 miles. That translates to an impressive 2,781 miles per $100 of electricity—making it the most efficient choice for EV owners nationwide.”
It had an estimated cost of just $3.60 to drive 100 miles.
The Tesla Model 3 Long Range All-Wheel Drive was second, the study showed:
“Next is the Long Range version of the Model 3, which offers extended range and dual-motor all-wheel drive. With a larger 75 kWh battery and 325 miles of range, the cost to drive 100 miles is slightly higher at $3.75, still equating to a strong 2,665 miles per $100.”
This version of the Model 3 had a price of just $3.75 to drive 100 miles.
In third, the BMW i4 eDrive35 surprised us with a cost of just $4.12 to drive 100 miles:
“Rounding out the top three is the BMW i4 eDrive35, with a 67.1 kWh battery and a real-world range of 265 miles. Drivers can expect to pay $4.12 per 100 miles, which still allows for 2,429 miles per $100—a solid choice for those seeking luxury and efficiency.”
Several other Teslas made the list as well. The Model 3 Performance ($4.34 per 100 miles) was sixth and tied with the Volkswagen ID.3 Pure, the Tesla Model S Long Range ($4.35 per 100 miles) was 8th, and the Tesla Model Y Long Range was ninth ($4.36 per 100 miles).
Elon Musk
SpaceX Starship just nailed something it’s never done before
SpaceX’s Starship flew successfully Friday, landing both stages and deploying its first Starlink V3 satellites.
Starship’s thirteenth test flight delivered exactly what SpaceX needed with a clean liftoff, two successful stage recoveries, and the first real payload the vehicle has ever carried to space. Booster 20 and Ship 40 lifted off at 5:51 p.m. CT from Starbase, and by the time the mission wrapped roughly an hour later, both halves of the rocket had done exactly what they were supposed to do.
Booster 20 separated from Ship 40 a few minutes into the flight and stuck a controlled splashdown in the Gulf of Mexico about six minutes after liftoff. That is a meaningful turnaround from Flight 12 in May, when the booster lost several engines during its boostback burn before a hard water landing attempt.
Starship as seen from Starlink satellites pic.twitter.com/e2hvfmnewh
— Elon Musk (@elonmusk) July 25, 2026
Starship 40’s performance was arguably the bigger win. The vehicle deployed the first 20 operational Starlink V3 satellites Starship has ever carried, then flew a suborbital arc to a landing in the Indian Ocean that SpaceX commentator Dan Huot called the company’s softest splashdown yet. “This is a dream scenario for this team that’s trying to get this heat shield data,” Huot said on the live broadcast, according to Space.com’s live coverage. “I’m a little over the moon right now. Wow. Lucky number 13.”
Unlike the mass simulators SpaceX flew on Flight 12, these were production Starlink V3 satellites, meant to extend solar arrays and antennas and attempt to link with the broader constellation before reentering minutes later. Getting real hardware through a full deploy sequence on only the second flight of the V3 generation keeps Starship on schedule for the payload work NASA is counting on for future Artemis lunar landings.
What an awesome launch, really seems like everything went super well and it was all incredibly smooth.
SpaceX is awesome. Very interested to see how the market will respond on Monday pic.twitter.com/KSHmyBfV55
— TESLARATI (@Teslarati) July 25, 2026
— TESLARATI (@Teslarati) July 25, 2026
The flight also arrives at a moment when SpaceX needed a win. SPCX has traded below its $135 IPO price since mid-July, as Teslarati reported when the mission slipped to Friday, and short interest has climbed to roughly a third of the tradable float. A clean flight will not fix a balance sheet, but it does answer the one question SpaceX absolutely needed answered this week: whether the fixes made after the July 16 abort would hold up under real flight conditions. They did, on both stages, on the first try after the redesign.
SpaceX has not set a target date for Flight 14, though the company has said it wants to push toward an orbital attempt on the next mission. After Friday, that goal looks a lot more within reach.
Elon Musk
Elon Musk is not happy about this Tesla Full Self-Driving approval delay
Elon Musk clapped back at France’s decision to withhold the approval for Tesla’s Full Self-Driving (FSD) Supervised system, projecting a clear and blunt message to French Transport Minister Phillippe Tabarot, after he publicly rejected the technology in its current form.
Tabarot outlines several concerns with Tesla Full Self-Driving in a detailed video statement, where he said, “The safety trade-offs are not yet sufficient to authorize it as it currently stands,” he said. He emphasized that FSD is not a true self-driving system and that the driver remains fully responsible.
Key issues Tabarot also brought up included allowing speeding when surrounding traffic exceeds limits and what he believes are insufficient guarantees of driver attention during complex urban maneuvers such as lane changes, intersections, and roundabouts.
Delaying the approval of FSD in France will cost lives
— Elon Musk (@elonmusk) July 22, 2026
While acknowledging technological progress and France’s support for autonomous innovation, Tabarot stressed that deployment must prioritize road safety. He noted ongoing technical discussions with Tesla, the Netherlands, and other European partners, with further ecosystem meetings planned for the fall.
Musk’s rebuke highlights the human cost of regulatory caution. Tesla’s latest safety reports provide compelling data supporting accelerated adoption. In the most recent 12-month period, vehicles using FSD (Supervised) recorded one major collision per approximately 5.1 million miles driven, dramatically better than the U.S. national average of one crash per 698,000 miles.
Even Tesla vehicles driven manually with active safety features outperform the average by a wide margin. These figures come from billions of real-world miles of telemetry, showing FSD vehicles involved in far fewer incidents than both manual Teslas and the broader U.S. fleet.
Critics argue Tesla’s comparisons require careful scrutiny regarding reporting thresholds and fleet demographics, yet the data consistently positions FSD as a potential lifesaver. With road fatalities remaining a leading cause of death worldwide, Musk contends that proven safer technology should not face prolonged bureaucratic hurdles.
France’s measured approach reflects the broader European regulatory caution, which many, especially Musk, have been critical of in the past. However, as autonomous systems from Tesla and competitors like Waymo demonstrate superior safety in independent studies, pressure is mounting for harmonized approvals.
Musk’s warning carries the belief that every month of delay may equate to avoidable tragedies on European roads.
Elon Musk
Elon Musk’s answer to Christopher Nolan’s Odyssey got way more specific
Elon Musk escalated his monthslong feud with Christopher Nolan’s The Odyssey this week, pledging that his own AI video tool will produce a competing version before the year is out. Responding to a fan-made, AI-generated clip of the ancient epic, Musk wrote on X, “Before this year ends, Grok Imagine will make a full-length movie of The Odyssey that is historically accurate and true to the art of Homer.”
In June, Musk quoted an xAI-shared trailer built entirely with Grok Imagine Video 1.5, a two-minute-plus reimagining of The Odyssey styled after a 1970s classical Hollywood epic, and predicted “full movies by the end of the year,” as Teslarati reported at the time. That trailer, built from 36 consistent shots by a single creator, was Musk’s proof of concept. This week’s pledge turns that prediction into a specific commitment, tied directly to Homer’s text rather than a generic demo.
Before this year ends, Grok Imagine will make a full-length movie of The Odyssey that is historically accurate and true to the art of Homer https://t.co/bVHzUmY9WN
— Elon Musk (@elonmusk) July 22, 2026
When a fan separately proposed that Musk fund a live-action alternative, to “give Mel Gibson $100 million to film an Odyssey adaptation with painstakingly historically accurate ships, armour, weapons, and casting, with all dialogue taken straight from the original poem and delivered in Homeric Greek,” Musk replied with two words: “I’m down.”
The Grok Imagine pledge lands as the tool’s underlying infrastructure has changed hands. Grok is no longer a standalone product, it folded into SpaceXAI after SpaceX’s acquisition of xAI closed in February, meaning the compute behind any Odyssey production traces back to the same Colossus supercomputers now bundled into SpaceX’s pitch to investors. Musk has separately said SpaceX’s own engineering data is being fed into the next major Grok training run, a two trillion parameter model he’s called the “2T run.”
Whether Grok Imagine can sustain a feature length narrative, rather than a series of impressive individual shots, remains the open question.