Elon Musk announced on Thursday that Grok, the large language model developed by his startup xAI, will soon be available in Tesla vehicles. Grok’s rollout to Tesla vehicles is expected to begin next week at the latest, further deepening the ties between the two Elon Musk-led companies.

Tesla–xAI synergy

Musk confirmed the news on X shortly after livestreaming the release of Grok 4, xAI’s latest large language model. “Grok is coming to Tesla vehicles very soon. Next week at the latest,” Musk wrote in a post on social media platform X.

During the livestream, Musk and several members of the xAI team highlighted several upgrades to Grok 4’s voice capabilities and performance metrics, positioning the LLM as competitive with top-tier models from OpenAI and Google.

The in-vehicle integration of Grok marks a new chapter in Tesla’s AI development. While Tesla has long relied on in-house systems for autonomous driving and energy optimization, Grok’s integration would introduce conversational AI directly into its vehicles’ user experience. This integration could potentially improve customer interaction inside Tesla vehicles.

xAI and Tesla’s collaborative footprint

Grok’s upcoming rollout to Tesla vehicles adds to a growing business relationship between Tesla and xAI. Earlier this year, Tesla disclosed that it generated $198.3 million in revenue from commercial, consulting, and support agreements with xAI, as noted in a report from Bloomberg News. A large portion of that amount, however, came from the sale of Megapack energy storage systems to the artificial intelligence startup.

In July 2023, Musk polled X users about whether Tesla should invest $5 billion in xAI. While no formal investment has been made so far, 68% of poll participants voted yes, and Musk has since stated that the idea would be discussed with Tesla’s board.

xAI, the artificial intelligence company founded by Elon Musk, has officially launched its latest flagship models, Grok 4 and Grok 4 Heavy. Alongside the release, the company introduced its most premium subscription tier to date, SuperGrok Heavy, which is priced at $300 per month and targeted at power users and developers.

Grok 4 is designed to compete with top-tier AI models like OpenAI’s ChatGPT and Google’s Gemini. As per xAI, Grok 4 demonstrates frontier-level performance across several benchmark evaluations. 

On Humanity’s Last Exam, an extensive test designed to evaluate general knowledge, Grok 4 scored 25.4% without using external tools, outperforming OpenAI’s o3 (high), which scored 21%, and Gemini 2.5 Pro, which scored 21.6%. 

When equipped with tools, Grok 4 Heavy scored 44.4%, making it the top-performing model in that category. For context, Gemini 2.5 Pro with tools scored 26.9%, as noted in a TechCrunch report.

xAI also highlighted Grok 4 Heavy’s “multi-agent” system, which enables multiple instances of the model to solve a problem in parallel and compare answers, similar to a study group. This collaborative approach is intended to improve both reasoning and accuracy in complex tasks.

The company also shared results from the ARC-AGI-2 benchmark, where Grok (Thinking) achieved new state of the art (SOTA) score on the test with 15.9%. As per Arc Prize in a post on X, this score is “nearly double(s) the previous commercial SOTA and tops the current Kaggle competition SOTA.”

The $300/month SuperGrok Heavy plan grants users early access to Grok 4 Heavy, as well as upcoming product features. Upcoming capabilities that are planned for release in the coming months include an AI coding model in August, a multi-modal agent in September, and a video generation system in October.

Grok 4 and Grok 4 Heavy are available via API as part of xAI’s push to engage developers and enterprise users. The company’s enterprise platform, which launched just two months ago, will also expand via partnerships with cloud hyperscalers to bring Grok models to broader infrastructure environments.

As Europe’s electricity mix is getting cleaner, battery-electric vehicles (BEVs) are also offering a larger climate advantage than previously expected, according to the results of a new study released this week.

On Wednesday, the International Council on Clean Transportation (ICCT) released a study noting that BEVs sold today produce 73 percent fewer life-cycle greenhouse gas emissions than internal combustion engine (ICE) vehicles, even factoring in production. This figure also represents a 24-percent improvement upon the organization’s 2021 estimates for this year, meaning that BEVs are getting cleaner more quickly than expected as the continent’s renewable programs continue to grow.

The study was comprised of a comprehensive life-cycle analysis of all major powertrain types, and the results suggest that BEVs are the only widely available powertrain that can slash emissions levels enough to meet climate goals. By contrast, the study’s results suggest that other clean energy powertrains, such as hybrids and plugin hybrids, only have a marginal impact, if any, on reducing the overall climate impact of the transportation sector.

“Battery electric cars in Europe are getting cleaner faster than we expected and outperform all other technologies, including hybrids and plug-in hybrids,” says ICCT researcher Dr. Marta Negri. “This progress is largely due to the fast deployment of renewable electricity across the continent and the greater energy efficiency of battery electric cars.”

Credit: International Council on Clean Transportation (ICCT)

READ MORE ON ELECTRIC VEHICLES: Study reveals hybrids could have up to 4.9x lifetime emissions vs. BEVs

ICCT Senior Researcher Dr. Georg Bieker says he also hopes the analysis can help fight misinformation regarding BEV powertrains. For example, he notes that, while it’s true that manufacturing emissions for BEVs can be up to 40 percent higher than for ICE vehicles, this is quickly offset by an electric automobile after just around 17,000 km (~10,563 miles) of driving.

“We hope this study brings clarity to the public conversation, so that policymakers and industry leaders can make informed decisions,” Dr. Bieker says. “We’ve recently seen auto industry leaders misrepresenting the emissions math on hybrids. But life-cycle analysis is not a choose-your-own-adventure exercise.”

Additionally, the ICCT study covers emissions from both vehicle and battery production, recycling, fuel and electricity production, fuel consumption, and maintenance.

“Our study accounts for the most representative use cases and is grounded in real-world data,” Dr. Bieker adds. “Consumers deserve accurate, science-backed information.”

U.S. EV adoption still on pace to reach 50% by 2030: data