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OpenAI GPT-5.5 and GPT-5.4 Launch on Amazon Bedrock at Parity Pricing

TL;DR

OpenAI's GPT-5.5 and GPT-5.4 models are now generally available on Amazon Bedrock, with pricing matching OpenAI's first-party rates. Codex, OpenAI's coding agent used by 5 million developers weekly, is also available with pay-per-token pricing and no seat licenses.

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OpenAI GPT-5.5 and GPT-5.4 Launch on Amazon Bedrock at Parity Pricing

OpenAI's GPT-5.5 and GPT-5.4 models are now generally available on Amazon Bedrock, with pricing matching OpenAI's first-party rates and no additional fees. The integration gives AWS customers access to OpenAI's frontier models through Bedrock's inference infrastructure with enterprise governance controls.

Model Availability and Pricing

GPT-5.5, described by OpenAI as their most advanced model, is available through Bedrock's Responses API at the same per-token pricing as direct from OpenAI. GPT-5.4 is also available. Specific pricing per 1M tokens was not disclosed in the announcement.

According to AWS, GPT-5.5 is designed for "multi-step tasks autonomously" and shows improvements in agentic coding and knowledge work. The models run on Bedrock's inference engine with isolated queues, automated capacity management, and continuous state capture for fault tolerance.

Codex Coding Agent Integration

Codex, OpenAI's coding agent, is generally available on Bedrock with pay-per-token pricing and no seat licenses. According to OpenAI, more than 5 million people use Codex weekly. The agent operates across entire repositories and integrates with Visual Studio Code, JetBrains, and Xcode, with all inference routed through Amazon Bedrock.

Codex on Bedrock is accessible through the Codex App, Codex CLI, and IDE integrations. Inference stays within the selected AWS Region to meet data residency requirements. With GPT-5.5 powering inference, OpenAI claims Codex "completes the same work more efficiently and with higher quality" compared to prior versions.

Enterprise Infrastructure

The integration includes AWS governance controls: IAM permissions, VPC and PrivateLink isolation, KMS encryption, and CloudTrail audit logging. AWS states that prompts and responses are not used to train models and are not shared with model providers.

Bedrock's infrastructure provides isolated queue management and continuous state capture. If hardware fails mid-request, the system resumes from the last captured state rather than restarting.

Future Capabilities

AWS announced that Amazon Bedrock Managed Agents, powered by OpenAI, will launch soon. The company also plans to bring Daybreak, OpenAI's cybersecurity initiative including cyber models and Codex Security, to Bedrock when available. Daybreak is designed for vulnerability identification, code security review, and remediation guidance.

What This Means

This integration addresses enterprise AWS customers who want OpenAI models without leaving their existing infrastructure. The parity pricing removes a potential barrier, while Bedrock's governance layer solves compliance concerns that have kept some enterprises from adopting frontier models directly. The pay-per-token Codex pricing eliminates the per-seat licensing model common in developer tools, potentially lowering barriers for teams with variable usage patterns. The key question is whether Bedrock's infrastructure advantages—fault tolerance, governance integration, and capacity management—justify any latency or feature lag compared to OpenAI's direct API.

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