Glossary

HTML Token Cost

HTML token cost is the LLM input cost of feeding raw HTML into a context window versus a cleaner format like markdown; a 60KB HTML page averages roughly 30K tokens raw versus 3K tokens as markdown, so any agent that processes web pages without an HTML to markdown step pays ~10x in input tokens.

Definition

HTML token cost is the LLM input cost of feeding raw HTML into a context window versus a cleaner format like markdown; a 60KB HTML page averages roughly 30K tokens raw versus 3K tokens as markdown, so any agent that processes web pages without an HTML to markdown step pays ~10x in input tokens.

In Depth

HTML token cost showed up as a recurring pain point in 2026 r/ClaudeAI threads. The fix is a markdown conversion step before the LLM sees the page: PullMD (OSS, self-hosted), Scavio's /extract endpoint (hosted, $0.0043/extract), or Firecrawl's scrape mode (per-credit, scales). The math behind the 10x: HTML averages 5-10 boilerplate bytes per content byte (script tags, inline CSS, navigation, footer, ad markup), and tokenizers count each separately. Stripping to semantic content with markdown headers and links keeps the LLM context focused. Honest constraint: token cost is only one half of the equation; if the agent needs to interact with the page (click, form-fill), markdown loses the interaction surface and a real browser is required.

Example Usage

Real-World Example

Switching the Claude Code agent's web-fetch tool from raw HTML to Scavio /extract markdown cut average task input tokens from ~30K to ~3K, dropping per-task LLM cost by an order of magnitude.

Platforms

HTML Token Cost is relevant across the following platforms, all accessible through Scavio's unified API:

  • google

Related Terms

Frequently Asked Questions

HTML token cost is the LLM input cost of feeding raw HTML into a context window versus a cleaner format like markdown; a 60KB HTML page averages roughly 30K tokens raw versus 3K tokens as markdown, so any agent that processes web pages without an HTML to markdown step pays ~10x in input tokens.

Switching the Claude Code agent's web-fetch tool from raw HTML to Scavio /extract markdown cut average task input tokens from ~30K to ~3K, dropping per-task LLM cost by an order of magnitude.

HTML Token Cost is relevant to google. Scavio provides a unified API to access data from all of these platforms.

HTML token cost showed up as a recurring pain point in 2026 r/ClaudeAI threads. The fix is a markdown conversion step before the LLM sees the page: PullMD (OSS, self-hosted), Scavio's /extract endpoint (hosted, $0.0043/extract), or Firecrawl's scrape mode (per-credit, scales). The math behind the 10x: HTML averages 5-10 boilerplate bytes per content byte (script tags, inline CSS, navigation, footer, ad markup), and tokenizers count each separately. Stripping to semantic content with markdown headers and links keeps the LLM context focused. Honest constraint: token cost is only one half of the equation; if the agent needs to interact with the page (click, form-fill), markdown loses the interaction surface and a real browser is required.

HTML Token Cost

Start using Scavio to work with html token cost across Google, Amazon, YouTube, Walmart, and Reddit.