Reasoning models devote additional computation to solving a task. Multimodal systems work with more than one kind of input or output, such as text, images or audio. Neither label guarantees correctness.
Match the model to the input
A model accepting an image does not necessarily generate images. A speech model can have different capabilities from a text model in the same family. Check the specific endpoint rather than relying on a brand name.
Use a clear image and ask for observable details before an interpretation. For a chart, first check the axis labels and units. For audio, compare the transcript with the recording before using it as evidence. These are suggested verification habits, not claims that we benchmarked a particular system.
Evaluate the result, not the explanation's length
A detailed explanation can contain a mistaken premise. Ask for assumptions and a checkable result; test a calculation or run generated code. Additional reasoning time can be useful on difficult tasks but may be unnecessary for simple extraction.
Practice with your own material
Create a small chart yourself. Ask a model three factual questions and one interpretation question. Compare each answer with the original numbers and record unsupported assumptions. Avoid uploading personal documents for this exercise.
Sources
Check Google's capability-specific model catalog and OpenAI's model catalog for supported modalities. Continue with retrieval.