GPT-5.5 is OpenAI’s flagship, covering frontier reasoning across coding, writing, research
\nand multimodal tasks with a context window of roughly 1.05M tokens. Pricing is $5 in \/ $30
\nout per million tokens, and a GPT-5.5 Pro tier exists for the highest-stakes reasoning.<\/p>\n
Two pricing details shape how it should be used. First, prompts above 272K input tokens
\nare billed at a higher rate, so the effective cost of a long-context feature is not the
\nheadline number \u2014 budget the premium explicitly or keep prompts under the threshold with
\ntighter retrieval. Second, the 6\u00d7 output-to-input ratio is one of the steepest in the
\nfrontier bracket: at $30 per million output tokens, generation-heavy workloads such as long
\nreport writing or verbose agent traces cost far more than prompt-heavy ones like retrieval
\nand classification. Teams that instrument their token mix usually find output is where the
\nbill actually lives, and that trimming verbosity, capping max_tokens and moving first drafts
\nto a cheaper model saves more than any prompt-compression trick. Compare it directly against
\nClaude Opus 4.8, which charges $25 output with no long-context premium.<\/p>","protected":false},"excerpt":{"rendered":"
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