Exactly ten days from now, on September 12, xAI will unveil the long-awaited Grok 4.7 model. Elon Musk is making bold claims about its superiority over all existing AI systems, backing up his ambitions not only with architectural changes but also with exclusive access to aerospace industry data.
This announcement looks especially intriguing against the backdrop of a rapidly accelerating release cycle. Just in August, we saw Grok 4.6 (on the 12th), and in July, the public debut of Grok 4.5. Now, just a month later, the next iteration awaits us. Meanwhile, OpenAI is not resting on its laurels, announcing its own Astra model, which only fuels the competitive race.
SpaceX Data as the Key Trump Card
The key difference between Grok 4.7 and its predecessors is not just in scale. Musk has confirmed that base training is complete, and the final stage of fine-tuning on internal SpaceX data is currently underway. This is a strategic move that could give the model a unique advantage in solving engineering and scientific problems, unavailable to competitors.
The architecture has also undergone serious changes. Grok 4.7 will operate with 2.1 trillion parameters, which is 40% more than Grok 4.6 (1.5 trillion). At the same time, according to Musk, the new version will run somewhat slower but will use computational tokens significantly more efficiently — a trade-off that indicates a focus on depth of analysis rather than response speed.
"Grok 4.7 will surpass all current models. At the same time, Anthropic is a great company; they will likely soon show more advanced solutions. Thanks to the unique training data from SpaceX, I would be surprised if any other model turns out to be better than Grok 4.7 for real-world engineering tasks," Musk stated.
Benchmark Targets and Realities
To understand how ambitious the goal is, it is worth looking at the results of its predecessor. Grok 4.6 scored 61 points on the AA Intelligence index, tying with GPT-5.6 Sol Max but falling one point short of the leader — Claude Fable 5 Max (62 points). In the GDPVal-AA v2 test, the model scored 1753 points, but in Terminal-Bench v3.0, the results were more modest — only 26% compared to 34.6% for the OpenAI competitor.
Interestingly, Grok 4.5 previously showed a similar dynamic: while leading in AutomationBench-AA with 51.4% at a cost of $0.34 per task, it more often violated safety restrictions (0.63 breaches versus 0.55 for Claude Opus 4.8). This trend shows that xAI is betting on "raw" power, sometimes at the expense of safety.
Now that the final release date is confirmed, the main question is whether xAI can back up its loud promises with independent tests, or whether we will again see a gap between marketing and actual performance.
My take: betting on unique SpaceX data is indeed a strong move that is hard for competitors to copy. However, the decisive factor will not be the number of parameters, but the model's ability to effectively apply this knowledge in real-world scenarios. The market is already tired of "paper" records — what is needed is proof under real-world conditions.