References

Choosing a model

Legacy mode

Choose the model that best suits your needs, balancing speed, accuracy, and cost. More advanced models are better at reasoning and return more accurate results, but they’re slower and more expensive to use.

Model availability

The models available for use vary across AI Hub products. Some products also support different models when using the API compared to the user interface.

In legacy mode, Automation projects offer the standard model and, for commercial and enterprise users, advanced model. You can switch to the advanced model for individual fields in the field editor.

Models incur differing usage costs, something to consider alongside model capabilities.

Model capabilities

All models use certain capabilities in developing answers to your prompts, but they vary in complexity, accuracy, and approach. See the following table for a summary and comparison.

Model capabilitiesStandardAdvanced
SearchYesYes
CalculationsBasicBasic
Table extractionBasicComplex
VisualizationsNoYes
Visual reasoningNoYes, in visual reasoning fields

Standard model

The standard model is good at quickly analyzing most documents. It’s optimized for speed and cost, but it can be less accurate when it comes to longer documents, complex reasoning, or mathematics.

Standard model capabilities include:

  • Search — Searches all pages in the document for information relevant to the prompt.

  • Calculate — Performs basic mathematical calculations based on information found in the document.

  • Extract tables — Extracts information from tables found in the document.

Advanced model

The advanced model is better at handling dense or complex documents, reasoning, and mathematics. The advanced model tends to give more accurate and detailed results.

In automation projects, the advanced model is available only to commercial and enterprise users.

Advanced model capabilities include:

  • Search — Searches all pages in the document for information relevant to the prompt.

  • Calculate — Performs mathematical calculations based on information found in the document. The advanced model is better at mathematics than the standard model.

  • Extract tables — Extracts information from tables found in the document. The advanced model more accurately retrieves data from tables, especially long or multipage tables.

  • Visual reasoning — (Visual reasoning fields in automation projects only) Analyzes visual and stylistic elements, including elements that OCR doesn’t capture, such as images, diagrams, watermarks, layout, colors, text styling, and handwritten markup.