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Posts Tagged → cost

Cut RAG Costs on Bedrock with Query-Aware Compression

posted in AWS & Cloud on September 2, 2026 by
AWS ML blog post on reducing RAG costs on Amazon Bedrock with query-aware compression

TL;DR 30 sec3 min coredeep dive optional Query-aware compression cuts RAG costs on Amazon Bedrock by 33 percent in AWS’s own benchmark: one extra small-model call strips retrieved context down to the spans that answer the actual query before the expensive model ever sees it. Tokens reaching the primary model dropped to 12 percent of… Continue reading →

Bedrock Prompt Caching: the Cost and Latency Math

posted in AWS & Cloud on September 20, 2026 by
Original summary card for the Bedrock prompt caching tutorial: write at 1.25x input price once, reads 90 percent lower on Claude and GPT models, default 5 minute TTL, 1 hour tier at 2x writes.

TL;DR 30 sec8 min coredeep dive optional Prompt caching on Amazon Bedrock charges 25 percent more to write a cached prefix and 90 percent less to read it back, so any context you reuse within the TTL bills at a fraction of the standard input rate. Cache reads cost 90 percent less than standard input… Continue reading →

Claude Fable 5.1: What Changes for Developers

posted in Claude on September 19, 2026 by
Claude Fable 5.1 and Mythos 5.1 announcement page on anthropic.com, September 2026

Fable 5.1 is Anthropic’s successor to Fable 5, aimed at agents that run for hours: code fixes, research passes, long knowledge work. It shipped on September 1, 2026 with the same $10 and $50 per million token list prices and one big change underneath: cache reads cost $0.25 instead of $1. This guide covers the… Continue reading →

Claude Code Price: Token Management and Cost Control

posted in Claude on July 10, 2026 by Amar Tinawi
Claude Code Token Management: Easy Cost Guide

Token management is the practice of tracking, controlling, and optimizing the tokens that determine the Claude Code price you pay in every coding session. Because each prompt, file read, and tool call draws from a finite 200,000-token context window and a metered API budget, understanding where your tokens go is the single highest-leverage skill for… Continue reading →

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