We need a breakdown of token usage costs for GPT 4o versus Claude 3.5 Sonnet when scaling customer onboarding workflows
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
We need a breakdown of token usage costs for GPT 4o versus Claude 3.5 Sonnet when scaling customer onboarding workflows
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.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
OpenAI GPT-4o API pricing input output cached tokens official pricing 2026 Google ↗
Anthropic Claude 3.5 Sonnet API pricing input output prompt caching official Google ↗
- GPT-4o Model · developers.openai.com
- Prompt caching with Claude · claude.com
- Prompt Caching in the API · openai.com
- Prompt caching · platform.claude.com
- Pricing · platform.claude.com
- Understanding and counting tokens · help.openai.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
OpenAI GPT-4o API pricing input output cached tokens official pricing 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
Anthropic Claude 3.5 Sonnet API pricing input output prompt caching official OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 |