Original Reddit post

Opus 4.8 is an absolute beast for complex coding tasks and agentic workflows (that 72.5% SWE-bench score is no joke). But even with the newer $5 input / $25 output pricing, if you leave extended thinking on and aren’t careful with your context windows, the costs can sneak up on you fast. I just put together a deep-dive guide on my blog covering how to get the most out of Opus 4.8 either for free or on the cheap. I wanted to share the core strategies here because I see a lot of devs overpaying on the API for context they don’t need to be repeatedly sending. Here is the TL;DR of the best ways to optimize your access: API Prompt Caching (The 90% Discount): If you use the API, you must use cache_control: {“type”: “ephemeral”} . Cache your heavy system prompts, codebase context, and tool definitions. It drops your repeated input token cost to $0.50/M. If you’re running multi-turn dev loops, this alone cuts your bill drastically. The Claude Pro + Projects Power Move: If you’re paying the $20/mo, use Projects properly . Stop pasting your style guides or repo structures into every new chat. Upload them once to a Project. It saves thousands of tokens per conversation since Claude reads it natively without you re-prompting. The “Draft + Refine” Pipeline: Stop using Opus for everything. Have Haiku or Sonnet write the initial draft (or do the first pass of a code review), and only escalate to Opus for the final polish or deep reasoning. Third-Party Access Routes: Cursor Pro ($20/mo): If you’re already paying for an AI IDE, Cursor bundles Opus 4.8 access. It’s effectively free Opus if you were going to buy a coding assistant anyway. Poe (Free Tier): Great if you just need 3–5 deep reasoning answers a day and don’t want to pay for a subscription. AWS Bedrock: The free tier gives you a solid monthly token allowance to sandbox Opus if you’re evaluating it, with zero upfront cost. I also covered some specific prompt engineering rules (like forcing XML tags, front-loading output constraints, and aggressive context trimming) that can cut your token waste by 40% before you even change your billing plan. submitted by /u/Remarkable-Dark2840

Originally posted by u/Remarkable-Dark2840 on r/ArtificialInteligence