GPT-5.5 is priced at $5/1M input tokens and $30/1M output tokens, double GPT-5.4's pricing; GPT-5.5 Pro costs $30/1M input tokens and $180/1M output tokens
Carl Franzen /VentureBeat:
Context & Ripple Effects
GPT-5.4 had already raised API pricing relative to GPT-5.2; GPT-5.5 doubles GPT-5.4’s standard input and output rates while leaving the listed Pro rates at the same level. The coverage therefore marks another step in segmenting model access by capability and price rather than a broad, uniform price decline.
The related evaluation notes also place GPT-5.5 near Mythos Preview on cybersecurity testing and identify it as the second model to solve a multi-step cyberattack simulation. That makes the pricing change consequential not just for token budgets, but for access to more capable models in sensitive use cases.
First-order effects
- Developers using GPT-5.5 face a doubling of standard per-token costs versus GPT-5.4, forcing immediate changes to workload routing, prompt/output controls, or application margins.
- GPT-5.5 Pro remains priced at $30 per million input tokens and $180 per million output tokens, sharpening the distinction between the standard and Pro offerings.
Second-order effects
- Applications with token-heavy generation are more likely to reserve GPT-5.5 for tasks where its added capability justifies the higher bill, while retaining GPT-5.4 or cheaper models for routine work.
- The higher price raises the value of model-selection layers and evaluation practices: buyers will need to compare task outcomes, not headline model generations, before absorbing the premium.
Third-order effects
- If successive frontier releases command higher rates, API competition may increasingly center on cost per useful task and tiered capability rather than on continuously falling token prices.
- As models become more capable on cyber-related evaluations, providers and enterprise buyers may face stronger pressure to pair premium access with differentiated controls and risk governance.
The trend: Frontier-model APIs are evolving into a tiered market where higher capability—and its associated risk profile—is priced as a premium service rather than automatically passed through as cheaper tokens.