Grok 4.5, featuring 1.5 trillion parameters, has begun private testing at SpaceX and Tesla.
When you get stuck while writing complex programming code, how great would it be if a top-tier software engineer colleague were right there to give you the answer? I’m talking about an AI that doesn’t just search the internet for information, but perfectly understands the context of the project you are currently working on and assists you.
Grok 4.5, a new model recently announced by Elon Musk’s AI company xAI, is painting exactly that future. On June 28, 2026, Elon Musk revealed that this powerful new AI model has entered private testing at SpaceX and Tesla [Source: Grok 4.5 Enters Private Beta at SpaceX and Tesla — Built …, Source: Grok 4.5 enters private beta at SpaceX and Tesla with 1.5 …].
Why does this matter?
We are becoming accustomed to the AI we use in daily life getting smarter, but the reason Grok 4.5 is attracting attention isn’t just because it “talks well.” This model is focused on dramatically increasing the productivity of human engineers in the specialized domain of coding (programming).
In particular, this model underwent supplemental training using data from ‘Cursor,’ an AI tool that assists with actual coding work [Source: Grok 4.5, based on our 1.5T V9 foundation model, with Cursor …]. Simply put, it’s not just a student who studies the basics well, but a ‘veteran’ who has acquired additional knowledge from dealing with vast amounts of code in actual work environments. As a result, competition in the AI development tool market is expected to become even more intense.
Easy Understanding: What is a parameter?
AI performance is often measured by a numerical value called a ‘parameter.’ As a simple analogy, parameters are like the ‘connection points of brain cells’ that allow an AI to understand the world. The more of these connection points there are, the more complex reasoning the AI can perform.
Grok 4.5 uses a foundation model called ‘V9’ (a massive brain responsible for the AI’s basic knowledge), which features a staggering 1.5 trillion parameters [Source: Grok 4.5 Enters Private Beta at SpaceX and Tesla — Built …, Source: Grok 4.5, based on our 1.5T V9 foundation model, with Cursor …]. This is a scale three times larger than the previous model currently in use (approximately 500 billion) [Source: Grok V9-Medium Arrives as SpaceX Seals Cursor: Developers …, Source: Grok 4.5 enters private beta at SpaceX, Tesla: Elon Musk].
Here is an analogy:
- If the previous model was a student who memorized thousands of pages of an encyclopedia,
- Grok 4.5 is an expert who not only memorized that entire encyclopedia but has also personally experienced tens of thousands of actual work projects.
With coding data added to this immense brain capacity, the AI is now skillfully handling not just information delivery, but also programming problem-solving that requires complex logical structures.
What is the current situation?
Currently, Grok 4.5 has not been released to the general public. Internal engineers at SpaceX and Tesla are privately testing and refining its performance [Source: Grok 4.5 Enters Private Beta at SpaceX and Tesla — Built …, Source: Grok 4.5 enters private beta at SpaceX and Tesla with 1.5 …]. An interesting point is that initial evaluations suggest it could be similar to or even exceed Anthropic’s ‘Claude Opus’ [Source: Grok 4.5, based on our 1.5T V9 foundation model, with Cursor …, Source: Grok 4.5 enters private testing at SpaceX, Tesla: Elon Musk].
Furthermore, the news that SpaceX acquired ‘Cursor’ for a massive $60 billion shows just how much xAI values this coding data [Source: Grok 4.5 enters private beta at SpaceX, Tesla: Elon Musk].
What happens next?
When Grok 4.5 completes internal testing and is released to the world, the biggest change will be the popularization of ‘expert AI.’ If AI has been faithful to its role as a ‘secretary’ that summarizes text or writes emails for us until now, it is now being reborn as a ‘colleague engineer’ that designs software and catches errors directly.
In the future, we should watch to see how AI goes beyond answering simple questions to solving technical challenges that we have been unable to solve.
MindTickleBytes AI Reporter’s Perspective
Grok 4.5 is not a model that simply increased the number of parameters. It has raised the practical capabilities of AI a level higher by learning the specialized experience of ‘coding data.’ This shows that technological advancement is no longer just a fight to increase the sheer volume of knowledge, but a fight over ‘what valuable experiences (data) were learned.’
References
- Grok AI New Model Triples Parameter Count, Targets Coding Lead: Release Expected Mid-June
- Grok V9-Medium Arrives as SpaceX Seals Cursor: Developers Face Model Choice Risk
- Grok 4.5 Enters Private Beta at SpaceX and Tesla — Built on xAI’s 1.5T V9 foundation model with Cursor IDE coding data added in supplemental training
- Grok 4.5 Leak: 1.5T Cursor Model Deep Dive
- Grok 4.5, based on our 1.5T V9 foundation model, with Cursor data added in supplemental training (X Post)
- Grok 4.5 Private Beta: 1.5 Trillion Parameters at SpaceX
- Grok 4.5 enters private beta at SpaceX, Tesla: Elon Musk
- Grok 4.5 enters private beta at SpaceX and Tesla with 1.5 Trillion Parameters
- Grok V9 Medium Completes Training at 1.5T Parameters
- xAI’s Grok V9-Medium Completes Training — 1.5T-Parameter Coding Model
- Elon Musk says Grok 4.5 enters private testing at SpaceX and Tesla
- Grok V9-Medium Is Not Grok 5: A Builder’s Guide to xAI’s Mid-June 2026 Coding Model
- Musk Says Grok 4.5, Based On Our 1.5T V9 Foundation Model, With Cursor Data Added In Supplemental Training, Now In Private Beta At SpaceX & Tesla
- Grok 4.5 enters private testing at SpaceX, Tesla: Elon Musk
- Musk teases Grok 4.5 release
- Elon Musk leaks Grok 4.5 launch inside Tesla and SpaceX
- Grok 4.5 enters private testing at SpaceX, Tesla: Elon Musk
- Image generation data
- Cursor developer coding data
- Legal professional document data
- 500 billion
- 1.5 trillion
- 6 trillion
- All general users
- Internal SpaceX and Tesla teams
- Google Research Labs