AI models
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.
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.
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.
Available Models
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.