The development of generative AI is progressing at an impressive pace – and with it, the opportunities for companies to open up new use cases and revolutionize existing processes are growing. The availability of the new meta-models Llama 4 Scout and Llama 4 Maverick on IBM watsonx opens up an exciting new chapter.
But what exactly is behind these models – and why is it worth taking a closer look for data-driven companies?
What makes Meta Llama 4 Scout and Maverick so special?
The new models feature a range of innovations that are particularly impressive in practical use:
1. Efficient architecture
Thanks to the MoE structure, the models only activate the most relevant “experts” per input.
- Llama 4 Scout: 109 billion total parameters, but only 17 billion active – with high performance and low latency.
- Llama 4 Maverick: 400 billion total parameters, same efficiency principle – outperforms GPT-4o and Gemini 2.0 Flash in benchmarks.
2. Industry-leading context length
With up to 10 million tokens, Llama 4 Scout sets new standards in terms of contextual understanding.
This opens up new potential in areas such as
- processing huge document collections,
- code analyses across entire repositories,
- personalized responses with deep memory.
3. Native multimodality
Unlike many conventional LLMs, Llama 4 was trained with text, image and video data right from the start.
This means:
- better results in image comprehension tasks,
- the ability to interpret multiple images simultaneously,
- precise responses to visual content.
Open AI models for real innovation
The release of Llama 4 on watsonx is part of a consistently open strategy: to make powerful, trustworthy models available to companies of all sizes. With a total of 13 meta-models in its portfolio, IBM offers one of the broadest ranges of base models on the market via watsonx.
This is a real advantage for our customers at BI2run – we can flexibly decide which model best suits the respective use case and integrate it seamlessly into existing BI infrastructures.
What is IBM watsonx?
IBM‘s watsonx is far more than just a model library – it is a development platform for AI applications that support companies throughout the entire life cycle:
- From data preparation and fine-tuning of models to deployment in cloud, on-prem or edge environments.
- With low-code/no-code tools, a wide range of APIs and an Enterprise Studio for cross-team collaboration.
- Including governance features that ensure compliance and transparency.
Especially in business intelligence scenarios, the platform offers ideal conditions for embedding AI into business processes in a meaningful and responsible way.
Conclusion: Meta Llama 4 brings AI power for practical use
Llama 4 Scout and Maverick are emblematic of the current progress in AI development – and offer companies in every industry the opportunity to take their projects to the next level. The models combine performance, efficiency and flexibility in an impressive way.
Now is the perfect time to get started: Whether it’s initial experiments with Llama 4 Scout or productive environments with Maverick – you’ll find the right solution on watsonx.ai. As BI2run, we accompany you from the idea to implementation.
Contact us – we will be happy to advise you on the possible uses of Llama 4 in your company.
