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GPT-5.5 and GPT-5.4 now available on Amazon Bedrock

OpenAI and Amazon announced that GPT-5.5, GPT-5.4, and Codex integration with Amazon Bedrock has exited beta. Developers can now deploy these models in production through Bedrock's high-performance inference engine. The integration allows use of OpenAI models without leaving the AWS ecosystem.

AI-processed from AWS Machine Learning Blog; edited by Hamidun News
GPT-5.5 and GPT-5.4 now available on Amazon Bedrock
Source: AWS Machine Learning Blog. Collage: Hamidun News.
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Amazon has made GPT-5.5, GPT-5.4, and Codex models from OpenAI generally available in the Amazon Bedrock cloud service, according to the AWS Machine Learning Blog. Developers can now deploy these models in production applications and agent systems on top of Bedrock's high-performance inference engine, without leaving AWS infrastructure.

What Became Available in Bedrock

Amazon Bedrock is AWS's managed service that gives developers a single API for working with models from different providers: from Amazon's own models to external models from other major AI labs. The addition of OpenAI's models—GPT-5.5, GPT-5.4, and the specialized Codex model for code writing—expands Bedrock's already broad multi-model catalog, allowing companies already building infrastructure on AWS to use OpenAI's top models without needing to separately integrate with OpenAI's API and maintain separate billing outside AWS.

Key facts about the launch:

  • Models — GPT-5.5, GPT-5.4, and Codex
  • Status — generally available in production
  • Platform — Amazon Bedrock, AWS cloud service
  • Purpose — deployment in production applications and agent systems
  • Infrastructure — operation on top of Bedrock's high-performance inference engine

Why This Matters for the Cloud AI Market

Until recently, access to OpenAI's flagship models almost always meant direct work with OpenAI's API or using Microsoft Azure—OpenAI's long-term technology partner. The appearance of GPT-5.5, GPT-5.4, and Codex in Bedrock means AWS is reinforcing its multi-model cloud strategy: instead of betting on a single model provider, Amazon gives customers choice between different model families within a single infrastructure, positioning itself as a neutral platform rather than an exclusive channel to one ecosystem.

For enterprise customers, this lowers the barrier to entry: there's no need for separate security certification and compliance audits for an external OpenAI API if the company's infrastructure is already built on AWS and has passed all necessary checks for Bedrock. This is especially important for regulated industries—finance, healthcare, government—where any new external connection to company data requires separate security audit, and having a model within an already-approved cloud perimeter removes significant bureaucratic overhead. AWS has applied the same logic to other external models in the Bedrock catalog: the company consistently adds top models from different labs as they become available, cementing its reputation as a cloud where enterprise customers get access to cutting-edge market developments without negotiating and signing contracts with each individual model provider.

What This Changes for Developers

The practical benefit for teams building AI agents and products based on large language models is the ability to compare and switch between models from different providers through Bedrock's unified interface without rewriting the application's integration layer. Codex has special significance—a model optimized for code writing and refactoring tasks. Its availability in Bedrock opens the path to embedding agent development tools directly into corporate CI/CD pipelines on AWS without moving code outside the customer's cloud.

Combined with growing competition between Bedrock and other major cloud platforms, this reinforces 2026's overall trend: hyperscalers compete not so much for exclusivity of their own models, but to become the universal access point to all leading models at once, including models from direct competitors in the infrastructure business.

It's worth noting the symbolic significance of the fact itself: Amazon, developing its own Nova model family and having invested in OpenAI competitor Anthropic, still hosts OpenAI models—Anthropic's largest rival in the frontier models market. This underscores that for Amazon's cloud business, the commercial logic of multi-vendor strategy outweighs any strategic alliances around a particular AI lab: Bedrock customers value having the choice between the best available models here and now more than seeing only "friendly" partner models on the platform.

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