80% off your Claude bill sounds like clickbait. The techniques are real.
Token costs on Claude's API add up fast when building production applications. A developer using Claude Sonnet 4.6 for a web research tool recently shared a set of optimizations that cut token usage by roughly 80% - not by switching to a cheaper model, but by fixing how context gets assembled before it ever reaches the API.
The biggest offender: raw HTML. Sending a full webpage to Claude - nested <div> tags, <script> blocks, inline styles, tracking pixels - is one of the most expensive things you can do. A typical page might run 50,000+ tokens (tokens are roughly 4 characters each, meaning 200,000+ characters of raw text) before Claude processes a single meaningful sentence. Strip it to clean markdown using a tool like Firecrawl first, and you're down to 3,000-5,000 tokens. Same information, 90% fewer tokens.
Five Changes That Actually Move the Needle
Strip HTML to markdown before every web request. This should be the first step in any pipeline that reads from the web. It's not optional if you're paying per token.
Only send what Claude needs for the specific task. Dumping entire documents into every request "just in case" is expensive. Pre-filter to the relevant section before the API call.
Summarize conversation history after 20-30 turns. Claude's context window holds up to 200,000 tokens (roughly a 500-page book's worth of text) on Sonnet, but every token in that window costs money on every new request. Compress older turns into a rolling summary instead of sending the full transcript each time.
Enable prompt caching on system prompts. Anthropic supports prompt caching, which stores frequently-used text server-side between requests. Cached tokens cost about 90% less than fresh input tokens. A 5,000-token system prompt sent 100 times per hour goes from costing 500,000 tokens to 50,000. The API docs cover setup - it takes about 10 minutes to implement.
Route simple tasks to Claude Haiku. Haiku is roughly 25x cheaper per token than Sonnet. Classification, data extraction, summarization with clear rules - Haiku handles all of these adequately. Reserve Sonnet for tasks that genuinely require complex reasoning.
From $1,500/Day to $120/Day
Here's what the math looks like on a research tool processing 20 web pages per user query. Without optimization: 20 pages × 50,000 tokens each = 1,000,000 tokens per query, roughly $3 at current Sonnet pricing. With HTML stripping and caching active: 20 pages × 4,000 tokens = 80,000 tokens, roughly $0.24 per query.
At 500 daily active users, that's $1,500/day versus $120/day. The output quality is the same.
The practical ceiling on these techniques sits around 80-85%. There is a floor below which trimming context starts degrading results. But most production apps are nowhere near that floor - they're sending full HTML pages when they need clean paragraphs, and paying full price for tokens that Claude reads once and ignores.