Real ChatGPT answer · index seed1PK399x4Q1scompleteB2B software · AI and automation toolsinformational
Can you compare the token consumption overhead of using JSON mode versus function calling when parsing unstructured text with GPT 4o?
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The searches the AI actually ran for this prompt.
SEED QUERY
Can you compare the token consumption overhead of using JSON mode versus function calling when parsing unstructured text with GPT 4o?
2 real searches · 1 real-search pass
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.
Classifying 2 queries…
Searches and sources
ChatGPT2 real searches · gpt-6
OpenAI GPT-4o JSON mode function calling token overhead schema tokens API documentation Google ↗
OpenAI API function calling strict JSON mode response_format json_object token usage tokens Google ↗
- Structured model outputs · developers.openai.com
- Function calling · developers.openai.com
- Function Calling in the OpenAI API · help.openai.com
- Understanding and counting tokens · help.openai.com
- GPT-4o Model · developers.openai.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
OpenAI GPT-4o JSON mode function calling token overhead schema tokens API documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
OpenAI API function calling strict JSON mode response_format json_object token usage tokens OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |