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Posts Tagged → prompt caching

GPT-5.6 on Amazon Bedrock: Inference, Pricing, and Quotas

posted in AWS & Cloud on August 24, 2026 by Amar Tinawi
GPT-5.6 on Amazon Bedrock announcement on the AWS Machine Learning Blog

GPT-5.6 now runs on Amazon Bedrock. OpenAI’s current frontier family is available in more than 25 AWS Regions, reachable through cross-region inference profiles. This guide shows you how to enable the models, call them three different ways, read the real price sheet, and size quotas without surprises. GPT-5.6: What You’ll Learn GPT-5.6 arrived on Amazon… Continue reading →

How Cloudflare Cut Its Inference Cost by 68%

posted in LLM Inference on October 20, 2026 by
Diagram of the Cloudflare AI code review pipeline that drove inference cost down 68 percent: a merge request reaches a coordinator that risk tiers it to specialist reviewers, and every reviewer first request reuses one shared cached prefix before hitting the Anthropic API

TL;DR 30 sec6 min coredeep dive optional Cloudflare cut the inference cost of AI code review from $2.43 to $0.77 per review by moving one prompt cache breakpoint, deleting model calls nobody needed, and stepping models and effort down only where quality held. The cache fix alone lifted first-request cache hit rates from 14 to… Continue reading →

Claude Code Prompt Caching Explained

posted in Claude on July 11, 2026 by Amar Tinawi
Claude Code Prompt Caching: Best Cost Guide: title card

Prompt caching is the single biggest lever for cutting Claude Code costs on long sessions. It lets the API skip reprocessing your entire conversation history on every turn, billing you roughly one tenth the normal input rate for repeated prefixes. This guide covers how the cache is organized, the eight actions that invalidate it, the… Continue reading →

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