Today, the ability to call external tools locally is considered one of the key criteria for evaluating large language models. This capability allows developers to directly execute specific functions such as search, calculation, or database access from within the model, without needing to connect to cloud services.
The Gemma 4 model, with its architecture optimized for fast processing, enables simple tool calling with low latency, but it faces limitations when dealing with complex functions. Llama 3 offers greater flexibility through support for multiple functions and advanced memory management, albeit at a higher computational cost. In contrast, Mistral strikes a balance between performance and cost by combining high speed with support for advanced functions, though it requires precise configuration to prevent runtime errors.