OpenRouter Analysis Finds GPT 5.5 Conciseness Partially Offsets Double Pricing

OpenRouter

May 5, 2026 · Updated May 13, 2026

OpenRouter analyzed real-world usage data and found that GPT-5.5's actual cost increase ranges from 49% to 92% despite OpenAI doubling per-token prices. While the model generates significantly fewer tokens for long-context tasks, users with shorter prompts face the full weight of the price hike without efficiency gains.

OpenRouter, a unified API platform for accessing hundreds of LLMs, analyzed OpenAI's GPT-5.5 costs. By tracking users who migrated their primary workflows, the study found that the model's efficiency on long-context tasks partially mitigates the official 2x price hike for inference (running a model to generate output).

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.

View the full update on openrouter.ai

OpenRouter

@OpenRouterMay 5

We analyzed GPT 5.5 vs GPT 5.4 and found that costs increased between 49-92%. The 2x price hike of GPT 5.5 is mitigated by the model generating 19-34% fewer completion tokens for longer prompts. More analysis here: https://t.co/neqlaSq11X https://t.co/zw3NlIHYwv

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