Teams are building AI into the places where work already happens, across documents, spreadsheets, presentations, software systems, tools, and business workflows. GPT-5.4 brings frontier reasoning, strong coding performance, computer-use capabilities, and long-context support to applications that need to operate across those environments.
GPT-5.4 helps developers build AI applications and production workflows that can interpret context, interact with tools, operate software environments, and verify outputs across multiple steps. It is well suited for professional workflows that require reliable reasoning and action across complex business systems.
Through OpenAI APIs and Amazon Bedrock, organizations can build reliable AI applications and production workflows with GPT-5.4s frontier reasoning capabilities and the AWS controls they already use.
Highlights
Access GPT-5.4 for frontier reasoning, coding, computer use, document and spreadsheet workflows, presentations, software operation, and professional knowledge work.
Build AI applications and agents with long-context reasoning, tool use, computer interaction, and workflow execution across complex environments.
Support more reliable professional workflows with a model designed to plan, execute, and verify complex tasks, 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 splits into three token types: input, output, and cached input. Each type carries four processing modes. Standard is the base rate. Priority runs at twice the standard rate for faster responses. Flex and Batch run at half the standard rate for cost-sensitive work. A separate long-context set applies to requests using extended context windows. Many dimensions carry regional prefixes (such as USE1, EU, APS1), so rates vary by AWS Region. You are billed only for the tokens your requests consume.
Top-of-mind questions for buyers
What counts as one billable token for input, output, and cached input dimensions?
A token is a small chunk of text the model reads or writes. Input tokens cover text you send. Output tokens cover text the model generates. Cached input tokens cover repeated content reused across requests, which is billed at a reduced rate. You pay per million tokens consumed.
How do the Standard, Priority, Flex, and Batch modes change what I pay?
Standard is the base rate. Priority runs at twice the standard rate for faster responses. Flex and Batch run at half the standard rate for cost-sensitive or non-urgent work. You choose the mode per request, so the same token volume costs differently depending on the mode selected.
When does the long-context pricing apply instead of the standard token rates?
Long-context dimensions apply to requests that use extended context windows beyond the standard limit. The model supports up to 1M tokens of context. Requests exceeding the standard 272K context window count against usage at a higher rate. The regional prefix on each dimension sets rates by AWS Region.
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