OpenRouter Analysis Finds GPT 5.5 Conciseness Partially Offsets Double Pricing

This finding highlights a shift where model behavior—specifically verbosity—is becoming as critical to budgeting as sticker prices. It mirrors OpenRouter's Opus 4.7 tokenizer study, which showed how hidden technical changes drive up expenses. For GPT-5.5, the conciseness subsidy only applies to prompts over 10,000 tokens (units of text).

Audit your prompt lengths before migrating production workloads to GPT-5.5. Workloads with short prompts may see costs nearly double, while those using the GPT-5.5 Pro context window benefit most from the 19-34% reduction in completion length. The model is available now via the OpenRouter API.