Sold by: OpenAI
Deployed on AWS
AWS Free Tier
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.
Overview
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.
Details
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/unit |
|---|---|
input_tokens_long_ctx_standard | $11.00 |
input_tokens_long_ctx_standard | $11.00 |
input_tokens_long_ctx_standard | $11.00 |
input_tokens_long_ctx_standard | $11.00 |
input_tokens_long_ctx_standard | $11.00 |
input_tokens_long_ctx_standard | $11.00 |
input_tokens_long_ctx_standard | $11.00 |
input_tokens_long_ctx_standard | $11.00 |
input_tokens_long_ctx_standard | $11.00 |
input_tokens_long_ctx_standard | $11.00 |
Dimensions summary
You pay per token used, with no upfront commitment. Pricing splits into three token types: input, output, and cached input. Each type is billed separately, since output tokens cost more than input. You choose a processing tier: Standard, Priority for faster service, Flex for lower-cost delayed work, or Batch for grouped jobs. A long-context set applies when requests use larger context windows. Many dimensions repeat the same token and tier structure across AWS Regions, shown by prefixes like USE1 or EUC1, so you pay Region-specific rates for the same processing type.
Top-of-mind questions for buyers
Each dimension meters tokens, the small text fragments a model reads or writes. Input tokens cover the text you send. Output tokens cover the text the model returns. Cached input tokens cover repeated content the system reuses. You are billed per token processed for each type separately.
You choose a processing tier per request. Standard is the default rate. Priority delivers faster processing at a higher rate. Flex handles delayed work at a lower rate. Batch groups jobs together at a lower rate. The token counts stay the same; the per-token rate shifts with the tier.
Output tokens carry the higher per-token rate, so response-heavy work drives more cost. Input and cached input tokens bill at lower rates. All three types, plus your chosen tier and Region, apply together on the same usage. Long-context requests use a separate rate set when context windows grow larger.
openai.com
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