OPENAI DOUBLES GPT-5.5 PRICING WITH NEW TIER
AI DESK■ 2 MIN READ
THU, APR 23, 2026■ AI-SUMMARIZED FROM 1 SOURCE ▸ TIMELINE
OpenAI has priced GPT-5.5 at $5 per million input tokens and $30 per million output tokens—double the cost of GPT-5.4. A premium Pro variant costs $30 and $180 per million tokens respectively.
OpenAI's new GPT-5.5 model marks a significant price increase across its API offerings. The standard tier doubles GPT-5.4's rates, while a newly introduced Pro tier provides access to higher-performance capabilities at a steeper cost.
Pricing Structure
GPT-5.5 standard pricing sits at $5 per million input tokens and $30 per million output tokens. For users requiring enhanced performance, the GPT-5.5 Pro tier costs $30 per million input tokens and $180 per million output tokens—a six-fold increase for output processing.
The pricing gap between input and output tokens remains consistent with OpenAI's previous models, reflecting the higher computational cost of generating responses versus processing user queries.
Market Context
The price adjustment comes as OpenAI continues rolling out GPT-5.5 following months of development speculation. The introduction of a Pro tier suggests the company is segmenting its customer base to capture different willingness-to-pay levels while reserving premium features for enterprise users.
For high-volume API users, the doubling of standard rates represents a material cost increase. However, the tiered approach allows cost-conscious developers to continue using GPT-5.5 at the standard price point while offering power users a premium option.
Implications
The pricing strategy signals OpenAI's confidence in GPT-5.5's capabilities justifying higher costs. Whether the capability improvements merit the expense remains dependent on individual use cases and competitive offerings from other AI providers.
Developers currently using GPT-5.4 will need to evaluate whether migration to GPT-5.5 provides sufficient performance gains to offset increased expenses, or whether maintaining existing models remains more cost-effective for their operations.
■ SOURCES
► Techmeme■ SUMMARY WRITTEN BY AI FROM THE LINKS ABOVE
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