AI news: April

Another month is behind us and with it another batch of news from the world of artificial intelligence. As usual, it's been busy - new models, new architectures, record-breaking contextual windows, and an emphasis on speed and price.

We chose carefully, focusing on what we think will move AI forward the most.

Release Llama 4

Meta has released Llama 4, a new series of open-weight language models that brings two major new features:

• Moving to a MoE (Mixture of Experts) architecture that activates only a small part of the model - specific "experts" - with each query. The result is both higher speed and lower cost.
• Three different models: The fastest Scout, the Maverick with a million context window and the biggest Behemoth, which is still in the training phase.
• The Scout variant allows for a contextual window of up to 10 million tokens, an extreme shift from commonly available models. A very large context window is still a rather theoretical possibility - models are not yet able to "equip" all contextual information at this scale.

Useful resources:

• Llama 4: Multimodal Intelligence
• Llama 4: Independent Benchmarks

Release of GPT-4.1 models

OpenAI is coming out with a new iteration of its core model: the GPT-4.1:

• primarily available via API
• Three different models (4.1, faster and weaker Mini and fastest Nano)
• cheaper than GPT-4o, but at the same time a bit slower - the bottleneck is the response speed
• capable of handling up to one million tokens
• significantly better at following instructions

The model works very well with long texts and their context. Together with GPT-4.1 OpenAI introduced a new benchmark for MRCR (Multi-round Co-reference Resolution). The new GPT-4.1 Nano tier is currently the fastest of all, but also the least powerful.

OpenAI launches multimodal models o3 and o4-mini

These are the most advanced reasoning models yet. Both are available for paying users and can be used via API.

• o3 achieves "state of the art" results on really complex benchmarks such as Codeforces or SWE-bench
• o4-mini is a smaller but faster reasoning model
• Both models are specifically trained on tool usage (function calling), suggesting their possible use in intelligent agents.

Useful resources:

• OpenAI o3 & o4-mini

Gemini 2.5 Pro does well

Google's models are gaining more and more users - thanks to their great price-performance-speed ratio.

Gemini 2.5 Pro is currently Google's most powerful model and is available for free to all users for now.

OpenAI considered buying Windsurf IDE

Last week, OpenAI started talking about buying Windsurf - a competitor to Cursor. OpenAI has offered to pay three billion dollars, which shows both the value of AI development tools, but more importantly their long-term intention to focus on end-user products.

Useful resources:

• CNBC: OpenAI in talks to buy Windsurf

---

Development in AI is in full swing and new developments are coming out every week. We're keeping track for you and will continue to bring you the highlights in the months ahead.