Before You Send 300K Tokens to GPT-6 Astra: The 272K Cost Trap

The guide explains how to control the cost of GPT-6 Astra long-context requests by focusing on a reported 272,000-token pricing threshold rather than its stated 1.05 million-token context capacity: once input exceeds that threshold, higher rates apply to the entire request. It recommends a three-stage workflow in which a lower-cost system first inventories files, removes duplicates, and creates an evidence-preserving package; Astra is then used only for a narrowly defined cross-document decision with output and spending caps; and an independent model audits the resulting memo for source traceability, omissions, and unsupported claims. Using published Standard-rate assumptions, it estimates costs of $2.75 for 250,000 input tokens plus 5,000 output tokens, $6.75 for 300,000 input plus 10,000 output, and $20.25 for 900,000 input plus 30,000 output. It emphasizes that model-card context limits may differ from the usable limits in specific products or agent tools, and that budgets should account for actual token usage, caching, retries, tool fees, and expanding conversation history. The guide also advises retaining decision-critical primary evidence, summarizing routine material, logging each run, restricting high-impact workflows to authorized and read-only environments, and requiring human approval and acceptance tests for consequential decisions.

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