The Clarity platform offers multiple agents, enabling you to experiment with agents that use different AI models and choose the appropriate one for your use case. This page provides a comprehensive comparison of the agents available on the Clarity platform to help you understand their capabilities, differences, and how to choose the right one for your needs.
GPT-4o agent
The default agent in Clarity uses OpenAI’s Chat GPT-4o model, an advanced large language model developed to handle complex, multi-step tasks with a high degree of accuracy. GPT-4o excels at generating nuanced and contextually relevant responses, making this agent suitable for sophisticated applications and datasets.
GPT-4o-mini agent
This agent uses Open AI’s GPT-4o mini model, a more compact and cost-effective version of GPT-4o. It offers a balance between performance and resource efficiency, making it a significantly more environmentally friendly choice while maintaining robust performance. GPT-4o mini is optimal for basic and lightweight tasks and surpasses other small models on academic benchmarks, while supporting the same range of languages as GPT-4o. For a more detailed breakdown of the model evaluation benchmark and additional information on GPT-4o mini, please refer to OpenAI’s documentation.
Claude-3-5-Sonnet agent
This agent uses Anthropic’s Claude 3.5 Sonnet model to generate text responses and generate code and can generate images using DALL·E 3. The Claude 3.5 Sonnet model is suitable for coding tasks, summarizing and reasoning on large amounts of text, and supporting creative and academic writing. The Claude-3-5-Sonnet agent will support file uploads in future releases.
Differences between the agents in Clarity
Feature | GPT-4o | GPT-4o-mini | Claude-3-5-Sonnet |
---|---|---|---|
Performance[i] | Higher accuracy, coherence, and fluency | Lower accuracy, coherence, and fluency | Higher accuracy, coherence, and fluency |
Environmental Impact | Higher energy consumption due to greater computational requirements | Lower energy consumption, making it more eco-friendly | Higher energy consumption due to greater computational requirements |
Use Cases | Suitable for complex queries, creative writing, and detailed analysis | Geared towards basic tasks, and lower-resource applications | Suitable for complex queries, creative writing and code generation |
Image Generation | Yes, using DALL·E 3 | Yes, using DALL·E 3 | Yes, using DALL·E |
Code execution | Can execute code to create charts or calculate answers | Can execute code to create charts or calculate answers | No (cannot execute code to provide analysis but can output code when prompted) |
File uploads | Yes | Yes | No |
Knowledge cut-off | October 2023 | October 2023 | April 2024 |