Overview of Supported AI Models
Several AI models support tool calling and structured output, each with its strengths and weaknesses. This guide will help you understand what each model is designed for, who should use it, and when to choose it over alternatives.
GPT-6.1 Sol Pro from OpenAI
GPT-6.1 Sol Pro is a high-end AI model that excels at complex tasks with `reasoning.mode` set to `pro`. It is suitable for professionals requiring high-quality responses on challenging projects. The cost of using GPT-6.1 Sol Pro is higher than its base variant, GPT-6.1 Sol.
- Strengths: High-quality responses on complex tasks
- Weaknesses: Higher cost compared to other models
- Recommended for: Professionals requiring high-end AI capabilities
GPT-6.1 Sol from OpenAI
GPT-6.1 Sol is a mid-range model that is well-suited for agentic coding, computer use, and document-heavy professional tasks. It is positioned below the flagship GPT-6 Astra in the GPT-6 series.
- Strengths: Balanced performance on various tasks
- Weaknesses: May not perform as well as high-end models on complex tasks
- Recommended for: Professionals requiring balanced AI capabilities
Claude Sonnet 5.5 from Anthropic
Claude Sonnet 5.5 is a Sonnet-class model designed for everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It excels at building features, fixing bugs, and producing high-quality text.
- Strengths: Strong performance on well-scoped tasks
- Weaknesses: May not handle complex or open-ended tasks as well as other models
- Recommended for: Professionals requiring strong AI capabilities for everyday work
Claude Sonnet 5.5 (Batch) from Anthropic
Claude Sonnet 5.5 is a batch variant of the same model, designed to process multiple inputs at once. It offers improved performance on tasks with large input sizes.
- Strengths: Improved performance on tasks with large input sizes
- Weaknesses: May require additional processing power or infrastructure to take full advantage of its capabilities
- Recommended for: Large-scale applications requiring high-performance AI
Qwen3.8 Max Prime from Qwen
Qwen3.8 Max Prime is a higher-throughput variant of Qwen3.8 Max, accepting text, image, and video inputs. It offers improved performance on tasks with mixed media.
- Strengths: Strong performance on tasks with mixed media
- Weaknesses: May require additional processing power or infrastructure to take full advantage of its capabilities
- Recommended for: Applications requiring strong AI capabilities for mixed-media tasks
Choosing the Right Model
When selecting an AI model for tool calling and structured output, consider the specific requirements of your project. Evaluate each model's strengths and weaknesses to ensure that you choose the best fit.
By understanding the capabilities and limitations of each model, you can make informed decisions about which AI model to use for your tasks.