Sold by: OpenAI
Deployed on AWS
AWS Free Tier
OpenAI GPT-5.4 brings frontier reasoning, coding, computer use, long-context workflows, and tool use to OpenAI APIs and Amazon Bedrock.
Overview
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.
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 | $5.50 |
input_tokens_long_ctx_standard | $5.50 |
input_tokens_long_ctx_standard | $5.50 |
input_tokens_long_ctx_standard | $5.50 |
input_tokens_long_ctx_standard | $5.50 |
input_tokens_long_ctx_standard | $5.50 |
input_tokens_long_ctx_standard | $5.50 |
input_tokens_long_ctx_standard | $5.50 |
input_tokens_long_ctx_standard | $5.50 |
input_tokens_long_ctx_standard | $5.50 |
Dimensions summary
You pay per token used, with no upfront commitment. Pricing splits into input tokens, output tokens, cached input tokens, and cache read tokens. Each token type is priced across four service levels: standard, priority, flex, and batch. Separate rates apply for long-context requests. Many dimensions carry an AWS Region prefix (for example USE1, EUC1, APS1), so your rate depends on the Region and whether you use global routing. Output tokens generally cost more than input tokens, and cached or batch usage is billed differently from standard real-time calls.
Top-of-mind questions for buyers
A token is a small chunk of text the model processes, roughly a few characters or part of a word. You are billed per token sent in your prompt (input) and per token the model generates (output). Longer prompts and longer responses raise your token count.
Each level meters the same tokens but sets a different rate. Standard handles real-time calls. Priority targets faster handling. Flex suits workloads that tolerate variable timing. Batch groups requests for asynchronous processing. You choose the level per request, and the matching rate applies to those tokens.
Cached input tokens and cache read tokens are billed at separate rates from standard input tokens. When your prompt reuses previously processed content, those tokens meter under the cache dimensions instead of full input rates. This affects repeated prompts that share common context across calls.
developers.openai.com
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