OpenAI GPT-5.5 brings OpenAIs most capable model for complex professional work to coding, analysis, software operation,and long-running agentic tasks through OpenAI APIs and Amazon Bedrock.
Long-running, complex professional tasks require more than a single model response. They require planning, context gathering, tool use, execution, verification, and iteration. GPT-5.5 is OpenAIs most capable model for execution-oriented work, designed to help teams move from AI-assisted responses to AI-assisted workflows.
GPT-5.5 is designed for advanced coding, research, analysis, software operation, document workflows, and long-running agentic tasks. It can understand open-ended goals, use tools, reason across longer workflows, navigate ambiguity, and carry complex tasks through to completion with less orchestration and back-and-forth.
Available through OpenAI APIs and Amazon Bedrock, GPT-5.5 gives organizations a stronger foundation for building advanced AI applications and long-running workflows powered by OpenAIs most capable frontier intelligence.
Highlights
Access GPT-5.5 for OpenAIs most capable frontier intelligence across coding, research, data analysis, software operation, document workflows, and long-running agentic tasks.
Build agents that can plan, gather context, use tools, reason through ambiguity, and carry complex multi-step workflows through to completion.
Improve execution quality across complex work with a model designed to produce stronger outputs with less back-and-forth, while using Amazon Bedrock for AWS-native access, governance, billing, and eligible commitment drawdown.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
You pay per token used, with no upfront commitment. Pricing separates into three token types: input, output, and cached input. Each type is billed by processing mode: standard, priority, flex, or batch. Long-context dimensions apply when requests use larger context windows. Rates also vary by AWS Region, shown by region prefixes such as USE1, EUC1, or APS1. Global cross-region dimensions are available too. You are charged only for the tokens you send and receive. Costs scale directly with your usage across the mode, token type, region, and context length you select.
Top-of-mind questions for buyers
What counts as one token for billing across input, output, and cached input dimensions?
A token is a chunk of text the model processes, roughly a few characters or part of a word. Input tokens cover text you send. Output tokens cover text the model returns. Cached input tokens cover previously processed input reused across requests, which is metered separately.
How do the standard, priority, flex, and batch processing modes change what I pay?
Each mode is a separate billing rate for the same token. Standard and priority handle real-time requests, with priority tuned for faster handling. Flex targets lower-urgency traffic. Batch groups many requests for asynchronous processing. You select the mode per request, and charges follow that mode's rate.
Which factors combine to set the rate for a single request?
Four factors combine: the token type (input, output, or cached input), the processing mode, the AWS Region shown by the prefix, and whether the request uses a long-context window. Your bill multiplies the tokens used in each category by that category's rate, then sums them.
developers.openai.com
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