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 three token types: input, output, and cached input. Each type is billed separately. Rates vary by four processing modes: standard, priority, flex, and batch. A long-context option applies when prompts are large. Many dimensions carry an AWS Region prefix (such as USE1 or EUW2), so your rate depends on where you run the model. Global cross-region dimensions are also offered. Cache-read tokens are priced on their own. Your total cost scales with token volume, chosen mode, context length, and Region.
Top-of-mind questions for buyers
Each unit is a token, the small text fragment a model reads or writes. Input tokens cover your prompt, output tokens cover the model's reply, and cached input tokens cover reused prompt content. The system counts tokens separately for each type and bills each at its own rate.
Each mode is a separate rate for the same token. You pick a mode per request based on speed and workload needs. Priority targets faster handling, flex and batch suit less time-sensitive or high-volume jobs. Your token count stays the same; only the per-token rate shifts with the mode you choose.
Charges apply independently and add together. Input, output, and cached input tokens each bill at their own rate, then sum per request. Output tokens often carry higher rates than input tokens. Cached input and cache-read tokens lower cost when prompt content repeats. Your Region and chosen mode set which rates apply.
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