Break down the total cost of ownership for running our own LLM inference pipeline versus using modular API wrappers on a shoestring budget
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Break down the total cost of ownership for running our own LLM inference pipeline versus using modular API wrappers on a shoestring budget
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 LLM API pricing input output tokens OpenAI Anthropic Gemini official pricing Google ↗
GPU cloud rental hourly pricing NVIDIA H100 A100 L4 2026 RunPod Lambda official Google ↗
- GPU Cloud Pricing | Per-Second H100, A100, RTX · runpod.io
- GPU Cloud Pricing | Per-Second H100, A100, RTX · runpod.io
- Pricing · developers.openai.com
- Gemini Developer API pricing | Gemini API | Google AI for Developers · ai.google.dev
- LiteLLM documentation · docs.litellm.ai
- Vercel AI SDK · ai-sdk.dev
- vLLM documentation · docs.vllm.ai
- Ollama · ollama.com
- RunPod pricing · runpod.io
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
2026 LLM API pricing input output tokens OpenAI Anthropic Gemini official pricing OBSERVED | Google ↗ AI Mode ↗ | — | Consequence | — | — | 1x of 1 | |
GPU cloud rental hourly pricing NVIDIA H100 A100 L4 2026 RunPod Lambda official OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |