PRODUCTION SCENARIO
A legal operations team wants to ask questions that span a 900-page acquisition data room in one request. The model it tested accepts about 32,000 tokens of input.
Which model characteristic should the team prioritize?
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Show answer and explanation
Answer: Context window size
The context window is how much information a model can take in at once - Google's analogy is short-term memory - and it is the limit the 32,000-token model is hitting. Gemini comes standard with a 1-million-token window, roughly eight average-length novels, so a data room this size can be submitted whole rather than chopped up. Parameter count describes model capacity, not how much input it accepts per request. The output token limit caps the length of the answer, not the length of the question. The knowledge cutoff governs what the model absorbed during training, which is irrelevant here because the documents are being supplied in the request.