Can you help me calculate the total cost of ownership for fine-tuning Llama models versus paying per token for commercial APIs?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Can you help me calculate the total cost of ownership for fine-tuning Llama models versus paying per token for commercial APIs?
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
2026 commercial LLM API pricing input output tokens OpenAI Anthropic Gemini official pricing Google ↗
2026 Llama fine tuning GPU cloud pricing hourly H100 A100 official RunPod Lambda AWS Google ↗
- Pricing · developers.openai.com
- Anthropic List Prices · www-cdn.anthropic.com
- Cloud GPU Instances for AI Workloads · runpod.io
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
2026 commercial LLM API pricing input output tokens OpenAI Anthropic Gemini official pricing OBSERVED | Google ↗ AI Mode ↗ | — | Consequence | — | — | 1x of 1 | |
2026 Llama fine tuning GPU cloud pricing hourly H100 A100 official RunPod Lambda AWS OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 |