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Get started with OpenAI GPT-5.5, GPT-5.4 models, and Codex on Amazon Bedrock - Amazon Web Services (AWS)

要約

重要ポイント

  1. AWSがOpenAIのGPT-5.5およびGPT-5.4モデル、およびCodexをAmazon Bedrock上で提供開始
    - GPT-5.5は複雑なタスクに最適、GPT-5.4は価格性能に優れている。
    - Codexは開発者向けのコード作成支援ツールとして、週に400万以上の開発者が利用。

  2. アクセス方法と技術仕様
    - OpenAI Responses APIを通じてBedrockの次世代推論エンジンを使用可能。
    - モデルの推論は選択したBedrockリージョン内で処理され、トークン単価での料金体系。

  3. 利用例と設定手順
    - Python SDKやcurlを用いたAPI呼び出しの例が提供。
    - Codexの使用にはAWSのAPIキーまたはSDK認証が選択可能。

流れのまとめ

AWSは2026年6月1日に、OpenAIの最新モデルGPT-5.5およびGPT-5.4、およびコード開発支援ツールCodexをAmazon Bedrock上で提供開始した。GPT-5.5は複雑なプロフェッショナルワークフローに、GPT-5.4はコストパフォーマンスに優れたタスクに最適。Codexは開発者向けのコード作成・テスト支援ツールとして、Visual Studio CodeやJetBrainsなどと連携可能。アクセス方法として、OpenAI Responses APIを介してBedrockの推論エンジンを使用し、トークン単価での料金体系が採用されている。また、米国東部（オハイオ）および西部（オレゴン）リージョンで提供開始され、今後のリージョン拡張に注目。

この人物を追う上での意味

OpenAI API（特にGPT-5.5/GPT-5.4とCodex）は、企業や開発者が高度な自然言語処理とコード生成を活用する上で重要な技術基盤となる。AWSが提供するBedrockプラットフォームを通じて、柔軟なモデル選択とセキュリティを確保しつつ、開発効率や業務プロセスの自動化が可能になる。今後、日本市場での導入拡大やリージョンの拡張に注目が集まるだろう。

抽出本文

As we previewed in What’s Next with AWS 2026 , we’re announcing the general availability of OpenAI GPT-5.5, GPT-5.4 models, and Codex on Amazon Bedrock , giving you access to frontier models and a coding agent for software development. According to OpenAI, GPT-5.5 and GPT-5.4 models are excellent for coding, reasoning, agentic workflows, and complex professional work. You can use GPT-5.5 for the hardest customer workloads and GPT-5.4 for the best price-performance. You can call them through Responses API on Amazon Bedrock’s next-generation inference engine built for high performance, reliability, and security. Codex is the OpenAI coding agent for AI-powered software development. According to OpenAI, more than 4 million developers use Codex every week to write, refactor, debug, test, and validate code across large codebases. With GPT-5.5 powering inference, Codex introduces a new class of intelligence optimized for complex, long-horizon developer workflows. You can use the Codex App, the Codex CLI, and IDE integrations with Visual Studio Code, JetBrains, and Xcode, with all model inference routed through the Responses API on Amazon Bedrock. For customers with data residency requirements, all processing stays within the Bedrock Region you select. You pay per token with no seat licenses and no per-developer commitments. GPT-5.5 and GPT-5.4 models on Bedrock in action You can access the model programmatically using the OpenAI Responses API to call the bedrock-mantle endpoints through the OpenAI SDK, command-line tools such as curl . Let’s start with OpenAI SDK for Python. Install OpenAI SDK. Set the environment variables for authentication. Here is a sample Python code to call GPT-5.5 model on Bedrock: You can call directly the model endpoint using curl . You can use the Responses API when you want to use model-managed multi-turn state, need hosted tools, function tools, or richer tool orchestration, and run background or long-running work. To learn more, visit the OpenAI Cookbook Responses examples and getting started guide . Using OpenAI Codex with GPT-5.5 on Amazon Bedrock You can download Codex CLI, Codex App or Codex VS Code extension and get started with the Bedrock for model inference. Codex supports two Bedrock authentication pathways: Amazon Bedrock API key or AWS SDK credential chain. If you set AWS_BEARER_TOKEN_BEDROCK , Codex uses it first; otherwise Codex falls back to AWS SDK credential chain. Set AWS_BEARER_TOKEN_BEDROCK in the environment that Codex will read: Then, configure your preferred Region and set the model ID to openai.gpt-5.5 in ~/.codex/config.toml , which is required for Bedrock API-key authentication. You can also choose openai.gpt-5.4 , openai.gpt-oss-120b , or openai.gpt-oss-20b . For the desktop app or VS Code extension, put any environment variables the app needs in ~/.codex/.env . Restart the desktop app or VS Code extension after changing ~/.codex/config.toml or ~/.codex/.env . In Codex CLI, you should see a /status tab that looks like this: In Codex App, you can use GPT-5.5 model through Amazon Bedrock inference. To learn more about how to configure Codex to use OpenAI models on Amazon Bedrock, visit Use Codex with Amazon Bedrock . Things to know Let me share some important technical details that I think you’ll find useful. Model latency : OpenAI model information positions GPT-5.5 as fast and GPT-5.4 as medium speed, but customer-perceived latency depends on reasoning effort, output length, tool calls, background mode, Region, quotas, throttling, prompt size, and cache hits. Start GPT-5.5 at medium effort. Start GPT-5.4 with effort set explicitly rather than relying on its none default. Scaling and capacity : Bedrock’s new inference engine is designed to rapidly provision and serve capacity across many different models. When accepting requests, we prioritize keeping steady state workloads running, and ramp usage and capacity rapidly in response to changes in demand. During periods of high demand, requests are queued, rather than rejected. Now available OpenAI GPT models and Codex on Amazon Bedrock are available today: GPT-5.5 model in the US East (Ohio) Region, GPT-5.4 model in the US East (Ohio) and US West (Oregon) Regions. Check the full list of Regions for future updates. To learn more, visit the OpenAI on Amazon Bedrock page and the Amazon Bedrock pricing page. Give GPT-5.5, GPT-5.4 models, and Codex on Amazon Bedrock a try today and send feedback to AWS re:Post for Amazon Bedrock or through your usual AWS Support contacts. Updated on June, 1, 2026 – The GPT models now support the Responses API only on Amazon Bedrock, and console support is coming soon. Updated on June, 3, 2026 – Amazon Bedrock now supports GPT‑5.4 from OpenAI in AWS GovCloud (US-West) Region .