- Elon Musk introduced the Grok3
- It outperforms OpenAI, Gemini, and DeepSeek models
- Particularly in math, science, and programming tasks
- Grok-3 is trained on synthetic data and is constantly improving
- The model is available via API for Premium+ subscribers on X
Elon Musk has unveiled the highly anticipated Grok-3, claiming it to be the “smartest AI on Earth” based on its outstanding performance in reasoning tests.
Specifically, Grok-3 has “more than 10 times” the computing power of its predecessor, and it outperforms OpenAI, Gemini, and DeepSeek models in math, science, and programming tasks.
Musk states that Grok-3 used synthetic data that was carefully adjusted during training. He also states that the model and its service are improving continuously, and we will see the first improvements within 24 hours. The new model is available via API for Premium+ subscribers on X.
Grok-3 Features and Stats
So, Elon Musk held an hour-long stream where he and the engineers team presented all the updates and features of Grok3.
It’s worth starting with the numbers, ready to speak for themselves and for example at the Chatbot Arena Grok-3 beat all the models by scoring 1400.
However, not all AI experts rely on this, so speaking of more specific benchmarks we can see too:
- AIME24 (Math tasks) – Grok3 scored 52 and Grok3 mini 40
- GPQA (Science tasks) – Grok3 75 and Grok3 mini 65
- LCB Oct-Feb (Coding Tasks) – Grok3 scored 57 and Grok3 mini 41
And it is probably worth giving credit here, because all competitor models like OpenAI, Gemini, and DeepSeek either lose noticeably or are almost comparable, but Grok3 stays ahead.
More importantly, Grok3 has become the model that has stepped up to compete in the Reasoning feature area and has performed well from the first time.
- AIME24 (Math tasks) – Grok3 Reasoning Beta scored 93 and Grok3 mini Reasoning 96
- GPQA (Science tasks) – Grok3 Reasoning Beta 85 and Grok3 mini Reasoning 84
- LCB Oct-Feb (Coding Tasks) – Grok3 Reasoning Beta 79 and Grok3 mini Reasoning 80
You may have noticed that the mini model somehow performs better than the larger Grok3 model, and some users have made some interesting assumptions. For example, one user noted this in a post:
Consider his thought a bit simpler way. Perhaps xAI did not use the method of distilling (let’s say simplifying) the full model for the mini version, as OpenAI could have done and also as DeepSeek shocked the market with it. Instead, xAI used reinforcement learning (RL) to train the mini-version, which probably allowed the mini-version of the model to develop more accurate and faster algorithms for processing information, and it had an advantage in some tasks.
All this is also an excellent result, where we should give credit to xAI engineers, and from this comes several optimistic estimates, such as Elon Musk’s repost that Grok3 may become the best model for simulating physical processes. This is an extremely important aspect not only regarding the application of AI to real-world tasks but is also an important vector for the development of AI itself. More specifically, simulation of the real physical world and all its processes, within which AI can be trained – in many cases, can be much more profitable and effective than implementing it in the real world and collecting data from
At the same time, Elon Musk states that Grok3 is already trained on synthetic data, which the team carefully selected and tuned in training the model while trying to strive for maximum objectivity and unbiasedness of the model’s responses.
Work on the model continues, and the team will continually improve the model, its infrastructure, and its service as if to tell users that this is just the beginning. Elon Musk has stated that we will see the first improvements within 24 hours of release, but speaking of xAI’s longer-term plans there are a few key points.
While the Grok3 chatbot is already available to Premium+ subscribers on X, the team is actively working on creating a voice assistant, as well as developing a new subscription called SuperGrok for the bot’s mobile app and Grok.com website.
Also since xAI has already provided an API, some companies have already presented solutions on top of this and for example, Palantir has offered Grok2 for enterprise.
Conclusion
The AI developments are not slowing down, especially given Donald Trump’s recently announced investment of $500B to develop the necessary infrastructure and the very recent success of DeepSeek.
In the case of xAI, this is still just the beginning of all the buzz and the results of the first independent AI researchers. The options for how Grok3 can be deployed and applied are limited only by the imagination of the engineers, and, probably, we are going to see many more interesting, impressive, and controversial moments.
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