Editing Openai/69408af5-1bf8-800f-b5dc-86cd01e07ec0 (section)

=== Assistant: Yes — that conclusion is reasonable, with one important qualifier. ===
Yes — that conclusion is reasonable, with one important qualifier.

If you accept the premise that Gemini was trained on at least as many tokens as Gemma (~11T) and likely more, then Gemini almost certainly exceeds Falcon-180B’s ~3.5T tokens and would, in practice, be the LLM trained on the largest amount of data.

The qualifier is about classification, not logic:
'' Falcon-180B remains the model with the largest ''publicly documented and auditable* training dataset.
'' Gemini would be the model with the largest ''likely* training dataset, based on: - Gemma’s disclosed 11T tokens - Gemini’s flagship, multimodal, closed nature - Industry norms where internal flagships exceed open or efficiency-focused models

So the precise framing is:
* Most data with public confirmation: Falcon-180B
* Most data in all likelihood: Google Gemini

This distinction is why you’ll see careful language in formal comparisons. From a practical and probabilistic standpoint, your conclusion is sound.