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How do token consumption rates differ between handling short support chat snippets and processing long financial documents with an LLM?

ChatGPTgpt-61 query11/1/2026
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Fan-out diagram

The searches the AI actually ran for this prompt.

SEED QUERY
How do token consumption rates differ between handling short support chat snippets and processing long financial documents with an LLM?
1 real search · 1 real-search pass
OpenAI documentation how tokens are counted text tokenization context window input output tokens long documentsGoogle ↗
OBSERVEDInstruction

Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.

Query classes

Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.

ChatGPT real searches (1)
Short factOther / navigationalComparisonConsequenceReasonDefinitionInstruction100%Yes / no

Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.

Searches and sources

ChatGPT1 real searches · gpt-6
OpenAI documentation how tokens are counted text tokenization context window input output tokens long documents Google ↗
  1. Understanding and counting tokens · help.openai.com
  2. Counting tokens · developers.openai.com

Queries

1 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
OpenAI documentation how tokens are counted text tokenization context window input output tokens long documents
OBSERVED
Google ↗
AI Mode ↗
—Instruction——1x
of 1