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Home » Artificial Intelligence

Elon Musk Confirms Grok V9 Medium Training Completion

Published on: May 25, 2026, 8:04 AM EDT
Barry Elad
Founder & Senior Journalist • 749 Articles
Barry Elad is a seasoned journalist and analyst specializing in finance, technology, AI, and founder of SQ Magazine. He explores the world o...
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Elon Musk Confirms Grok V9 Model Training Completion
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Elon Musk says xAI has completed training for its new Grok V9 Medium AI model, with a public launch expected within the next few weeks.

Quick Summary – TLDR:

  • xAI has completed training for the 1.5 trillion parameter Grok V9 Medium model.
  • The company has started fine tuning and reinforcement learning will begin soon.
  • Elon Musk says the model performs much better than the current v8 small system in programming tasks.
  • xAI used a large amount of Cursor coding data to improve the model’s coding abilities.

What Happened?

Elon Musk confirmed on May 25 that xAI has officially completed training for the new Grok V9 Medium foundational AI model. The company says the model has already shown positive evaluation results and is now moving into the next development stages before public release.

According to Musk, supervised fine tuning is currently underway, while reinforcement learning training is expected to begin within days. The company plans to release the model publicly in around two to three weeks.

Grok foundation model V9-Medium (1.5T) has finished training. Evals look good. A lot of Cursor data was added in supplementary training and there is more to come.

Fine-tuning is underway and reinforcement learning begins in a few days. 2 to 3 weeks to public release.

This will…

— Elon Musk (@elonmusk) May 25, 2026

xAI Pushes Forward With a Bigger Grok Model

The biggest talking point around the new Grok release is its massive scale. Grok V9 Medium reportedly features 1.5 trillion parameters, making it three times larger than the current v8 small model that powers Grok’s production traffic today.

The current v8 small model reportedly runs on around 0.5 trillion parameters. Musk has previously admitted that the older model struggled with issues related to training data quality, balance, and completeness. The new V9 Medium release appears to be xAI’s attempt to fix those weaknesses while delivering stronger reasoning and coding performance.

The increased parameter count could help Grok improve in areas such as:

  • Complex programming tasks
  • Reasoning and problem solving
  • Instruction following
  • Code generation and debugging
  • Developer focused AI assistance

Musk specifically highlighted that the new model performs significantly better when handling advanced coding tasks compared to earlier versions.

Cursor Data Played a Big Role

One of the more interesting details from Musk’s announcement involves the use of Cursor data during supplementary training.

Cursor is an AI coding assistant tool widely used by developers for code generation and software development tasks. Musk revealed that xAI added a large amount of Cursor related data into the Grok training pipeline and plans to continue adding more in the future.

This strongly suggests that xAI wants Grok to compete more aggressively in the growing AI coding market currently dominated by products from companies like OpenAI, Anthropic, and Google.

By focusing heavily on developer workflows and programming capabilities, Grok could evolve beyond being just a chatbot inside the X platform. It may eventually become a serious AI tool for software engineers and technical users.

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Optimized for Blackwell GPUs

Reports also indicate that Grok V9 Medium has been optimized for NVIDIA Blackwell architecture GPUs. While xAI has not shared detailed benchmark numbers yet, the optimization could improve training efficiency and performance for large scale AI workloads.

The use of advanced GPU architecture is becoming increasingly important as AI companies continue building larger models that demand massive computing resources.

xAI has been rapidly expanding its AI infrastructure over the past year as competition in the AI industry becomes more intense. Companies are now racing not only to build larger models, but also to improve efficiency, reasoning quality, and specialized task performance.

Bigger Ambitions for Grok

The upcoming Grok release could mark an important step for xAI as the company tries to strengthen its position in the AI race.

So far, Grok has mainly been associated with the X platform, where it is integrated into the social network experience. However, the strong focus on coding and developer tasks hints at much bigger ambitions.

If Grok V9 Medium delivers noticeable improvements in real world programming tasks, it could help xAI attract developers looking for alternatives to existing AI coding assistants.

The next few weeks will be important as the company moves through fine tuning and reinforcement learning before the official rollout.

SQ Magazine Takeaway

I think this is one of the most important Grok updates we have seen so far. The jump from 0.5 trillion to 1.5 trillion parameters is massive, but what really matters is the heavy focus on coding performance. Elon Musk clearly wants Grok to become more than just an AI chatbot for X users. He wants it to compete directly in the AI developer tools market, which is currently one of the hottest areas in tech. If xAI actually delivers strong coding abilities with this release, Grok could become a serious player very quickly.

Definition of LLM Parameters. Link to full glossary entry follows the description.LLM Parameters

LLM parameters are the weights and biases a model learns during training. The count sets a model's size, but training data and sparsity matter just as much.

Read more

This article has been reviewed and fact-checked by Robert A. Lee. SQ Magazine follows strict Publishing Principles and a documented Fact-Check Policy to ensure accuracy, transparency, and editorial independence across all content.

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Barry Elad

Barry Elad

Founder & Senior Journalist


Barry Elad is a seasoned journalist and analyst specializing in finance, technology, AI, and founder of SQ Magazine. He explores the world of artificial intelligence, uncovering trends, data, and real-world impacts for readers. When he’s off the page, you’ll find him cooking healthy meals, practicing yoga, or exploring nature with his family.

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Table of Contents

  • Quick Summary – TLDR:
  • What Happened?
  • xAI Pushes Forward With a Bigger Grok Model
  • Cursor Data Played a Big Role
  • Optimized for Blackwell GPUs
  • Bigger Ambitions for Grok
  • SQ Magazine Takeaway

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