Eagle Agents provides access to a wide range of state-of-the-art AI models, ensuring that your agents are always equipped with the best and newest models on the market.
Having an understanding of the various models, their strengths and potential weaknesses allows you to leverage the right model for your specific use case, ensuring your agent is equipped to handle its task. These are the main points to consider when choosing:
Function Calling
Models with tools support enable advanced interactions
through function calling, allowing for communications with external APIs.
This capability is crucial for tasks requiring specific data formats or
integrations with external systems.
Groq Acceleration
Groq-powered models leverage cutting-edge hardware for ultra-fast, ideal for real-time applications. This technology significantly reduces
latency, making these models perfect for scenarios where quick response
times are critical.
Extended Context
Certain models offer larger, allowing them to process and understand longer inputs. This is
particularly useful for tasks involving extensive documents or complex,
multi-turn conversations.
Task Specialization
Different models excel in various specialized tasks, such as code
generation, creative writing, or analytical reasoning. Read our prompt
engingeering guide for more
information on creating task specific agents.
All our models support advanced tool integration and offer excellent performance. Here’s how to select the best one for your needs:
Latest Technology
Llama 4 Maverick represents the cutting-edge of AI technology, ideal for
the most demanding and complex tasks requiring state-of-the-art reasoning capabilities.
Proven Performance
Llama 3.3 70B offers exceptional performance across a wide range of tasks,
providing reliable and consistent results for most use cases.
Visual Understanding
QwQ 2.5 VL 72B excels in tasks requiring visual comprehension and
multimodal understanding, perfect for applications involving image analysis.
Tool Integration
All models support advanced tools integration for
seamless function calling and external API interactions.
Experiment with different models to find the best balance between writing
styles, capabilies and efficiency for your agents use case.