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 only for what you use, measured in tokens. Pricing splits into input tokens, output tokens, and cached input tokens, each billed separately. Every token type comes in four service levels: standard, priority, flex, and batch. Long-context variants apply higher rates for large prompts. Cache-read tokens carry their own rate. Many dimensions repeat per AWS Region using Region-prefixed global codes (for example USE1, EUC1, APS1), so your rate depends on where you run the model. Choose the service level and Region that match your latency and cost needs.
Top-of-mind questions for buyers
You are billed per token. Tokens are units of text the model processes. Input tokens cover the text you send, output tokens cover the text the model returns, and cached input tokens cover repeated prompt content served from cache. Each type is counted and priced separately.
Each token type is priced across standard, priority, flex, and batch levels. Priority targets faster response for time-sensitive traffic. Flex and batch suit workloads that tolerate delay. You pick the level per request, so your rate follows the level you select for each call.
The three token types bill independently and add together. You pay for every input token sent and every output token returned. Cached input tokens are billed at their own rate when prompt content is reused. Output tokens usually drive the largest share for generation-heavy tasks.
developers.openai.com
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