TIXAE AI 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.

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As soon as new models are released, the TIXAE AI team promptly updates the platform. This means you typically get access to the latest and most powerful models right away.

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Model Capabilities

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.

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Available Models

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Choosing the Right Model

Selecting the appropriate model for your project depends on various factors:

Task Complexity

For intricate tasks, consider GPT-4o, Claude-3-opus-20240229 and Claude-3-5-sonnet-20240620, or Gemini-1.5-pro models.

Response Speed

Groq-powered models, especially LLaMA-3.1-8b-instant and Gemma-7b-it, excel in scenarios requiring rapid responses.

Context Length

Models like GPT-4-0 (128k), Google Gemini 1.5 Pro (2 Million), Claude-3-5-sonnet-20240620 (200k), and LLaMA3-70b-8192 (128k) offer extended context for handling longer inputs.

Tool Integration

Choose models with tools support for advanced function calling capabilities, such as GPT-4o, GPT-4o-mini, GPT-4-32k, GPT-4, Claude-3-5-sonnet-20240620, Gemini-1.5-pro, and LLaMA-3.1-70b-versatile.

Resource Efficiency

Smaller models like GPT-3.5-turbo, GPT-4-o-mini, Claude-3-haiku-20240307, Gemini-1.5-flash, and LLaMA-3.1-8b-instant can be more cost-effective and faster for simpler tasks.

Experiment with different models to find the best balance between writing styles, capabilies and efficiency for your agents use case.