News
SpaceX CEO Elon Musk shows off Starship’s 3 Raptor engines in best photos yet
SpaceX CEO Elon Musk has taken to Twitter to publish yet more photos of the company’s Starship Mk1 rocket prototype, this time posting what are – by far – the best official photos of Raptor engines yet taken.
This marks the first time that a SpaceX prototype of any kind has had more than one Raptor engine installed, a fairly symbolic but still significant milestone that follows in the footsteps of Starhopper’s successful single-engine flight test campaign. With Starhopper now heading into retirement, Starship Mk1 is preparing to support the program’s next major steps: full-scale, high-altitude flight tests powered by three Raptor engines.
The sight of three Raptor engines installed on the first true Starship prototype is undeniably hard to downplay. In barely seven months, SpaceX has gone from the very first static fire of a full-scale Raptor engine – serial number 01 – to flight-testing Raptor SN06 and producing enough engines to bestow Starship Mk1 with its own set of three engines. According to the latest comments from Elon Musk, Starship is meant to be powered by three ‘sea level’ Raptors and three vacuum-optimized Raptors – RVacs. RVac may or may not be ready to support the flight tests of early prototypes like Mk1 and Mk2, meaning that their three SL engines will likely be the sole propulsion for the time being.
Together, three SL Raptors operating at full thrust should be capable of producing up to 600 tons (1.3M lbf) of thrust. Per Musk’s note that Starship Mk1 likely weighs around 200 tons (~450,000 lb) empty, this means that a triple-engined Starship will be able to lift off with up to 400 tons (900,000 lb) of propellant, likely translating into roughly 200-300 seconds of untethered triple-engine operation.
“NOT FOR FLIGHT”
However, the engine installation milestone and subsequent photos are undeniably spectacular, but signs suggest that some level of pragmatism is in order. Visible in two of the three photos published by Musk, all three Raptors still have their transport rings installed just below each engine’s throat. Hardware at the base of one photo indicates that they were likely taken yesterday, on the evening of September 25th. Musk revealed that the three Raptors were installed late on September 22nd, up to three days prior.
Combined, the presence of the transport rings – “NOT FOR FLIGHT”, as their labels note – is a strong indicator that their installation is only temporary, likely in support of Elon Musk’s imminent September 28th Starship presentation. Without more information, it’s impossible to read much further into the temporary installation of Raptors. What it does confirm is that – for any number of reasons – flight-ready Raptors are not quite ready to support the Starship Mk1/Mk2. SpaceX has proven that Raptor is capable of supporting Starhopper for almost a full minute of powered flight, but behaviors observed near the end of that flight suggest that even that may have been pushing the engine’s limits.
All things considered, SpaceX is making progress at an almost unfathomable pace. Just seven months into full-scale Raptor test fires, it’s easy to believe that a lot of development work and refinement remains before the new engine family will be ready to reliably support multi-minute flight tests, let alone orbital launch attempts. Most orbital-class engine development programs aim for tens or even hundreds of thousands of seconds of test fires before attempting their first flights, but SpaceX is not most companies and is sticking closely to its preferred “test as you fly” methods and agile development strategies.
Check out Teslarati’s Marketplace! We offer Tesla accessories, including for the Tesla Cybertruck and Tesla Model 3.
Elon Musk
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla confirmed HW3 vehicles cannot run unsupervised FSD, replacing its free upgrade promise with a discounted trade-in.
Tesla has officially confirmed that early vehicles with its Autopilot Hardware 3 (HW3) will not be capable of unsupervised Full Self-Driving, while extending a path forward for legacy owners through a discounted trade-in program. The announcement came by way of Elon Musk in today’s Tesla Q1 2026 earnings call.
🚨 Our LIVE updates on the Tesla Earnings Call will take place here in a thread 🧵
Follow along below: pic.twitter.com/hzJeBitzJU
— TESLARATI (@Teslarati) April 22, 2026
The history here matters. HW3 launched in April 2019, and Tesla sold Full Self-Driving packages to owners on the understanding that the hardware was sufficient for full autonomy. Some owners paid between $8,000 and $15,000 for FSD during that period. For years, as FSD’s AI models grew more demanding, HW3 vehicles fell progressively further behind, eventually landing on FSD v12.6 in January 2025 while AI4 vehicles moved to v13 and then v14. When Musk acknowledged in January 2025 that HW3 simply could not reach unsupervised operation, and alluded to a difficult hardware retrofit.
The near-term offering is more concrete. Tesla’s head of Autopilot Ashok Elluswamy confirmed on today’s call that a V14-lite will be coming to HW3 vehicles in late June, bringing all the V14 features currently running on AI4 hardware. That is a meaningful software update for owners who have been frozen at v12.6 for over a year, and it represents genuine effort to keep older hardware relevant. Unsupervised FSD for vehicles is now targeted for Q4 2026 at the earliest, with Musk describing it as a gradual, geography-limited rollout.
For HW3 owners, the over-the-air V14-lite update is welcomed, and the discounted trade-in path at least acknowledges an old obligation. What happens next with the trade-in pricing will define how this chapter ultimately gets written. If Tesla prices the hardware path fairly, acknowledges what early adopters are owed, and delivers V14-lite on the June timeline it committed to today, it has a real opportunity to convert one of the longest-running sore subjects among early adopters into a loyalty story.
Elon Musk
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.
Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”
Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.
Credit: TESLA
Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.
As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.
Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.
The earnings results come after Tesla reported a miss on vehicle deliveries for the first quarter, delivering 358,023 vehicles and building 408,386 cars during the three-month span.
As Tesla transitions more toward AI and sees itself as less of a car company, expectations for deliveries will begin to become less of a central point in the consensus of how the quarter is perceived.
Nevertheless, Tesla is leaning on its strong foundation as a car company to carry forward its AI ambitions. The first quarter is a good ground layer for the rest of the year.
Tesla Q1 2026 Earnings Results
Tesla’s Earnings Results are as follows:
- Non-GAAP EPS –Â $0.41 Reported vs. $0.36 Expected
- Revenues –Â $22.387 billion vs. $22.35 billion Expected
- Free Cash Flow –Â $1.444 billion
- Profit –Â $4.72 billion
Tesla beat analyst expectations, so it will be interesting to see how the stock responds. IN the past, we’ve seen Tesla beat analyst expectations considerably, followed by a sharp drop in stock price.
On the same token, we’ve seen Tesla miss and the stock price go up the following trading session.
Tesla will hold its Q1 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.
You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.
Q1 2026 Earnings Call at 4:30pm CT https://t.co/pkYIaGJ32y
— Tesla (@Tesla) April 22, 2026
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
