Is it cheaper to use the OpenAI API with prompt caching or to fine-tune a smaller open source model for our high-frequency customer classification tasks?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Is it cheaper to use the OpenAI API with prompt caching or to fine-tune a smaller open source model for our high-frequency customer classification tasks?
3 real searches · 1 real-search pass
OpenAI API pricing prompt caching input output tokens official pricing 2026Google ↗
OBSERVEDOther / navigational
OpenAI API fine-tuning pricing official documentation 2026Google ↗
OBSERVEDOther / navigational
self hosting small language model inference cost GPU deployment economics classification 2026Google ↗
OBSERVEDComparison
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 (3)
Classes come from the query-classifier (a local Laya model). 3 of 3 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT3 real searches · gpt-6
OpenAI API pricing prompt caching input output tokens official pricing 2026 Google ↗
OpenAI API fine-tuning pricing official documentation 2026 Google ↗
self hosting small language model inference cost GPU deployment economics classification 2026 Google ↗
- Prompt Caching in the API · openai.com
- Prompt caching · developers.openai.com
- Hybrid Inference: When On-Prem Beats the Frontier · tmls.nyc
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
OpenAI API pricing prompt caching input output tokens official pricing 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
OpenAI API fine-tuning pricing official documentation 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
self hosting small language model inference cost GPU deployment economics classification 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 |