GPT-5.5 on AWS Bedrock Ends Azure's Seven-Year OpenAI Exclusivity
The most consequential infrastructure shift of 2026 happened in a 48-hour window in late April. On April 27, Microsoft and OpenAI amended their partnership, ending seven years of Azure exclusivity. On April 28, GPT-5.5, Codex, and Managed Agents powered by OpenAI went live on Amazon Bedrock in limited preview. GPT-5.5 matches GPT-5.4 per-token latency while reaching 93.6% on GPQA Diamond and 82.7% on Terminal-Bench 2.0. API pricing sits at $5 per million input tokens and $30 per million output tokens, with the Pro variant at $30/$180 for highest-end reasoning tasks. More than 4 million people now use Codex weekly. The strategic significance goes beyond the model itself. AWS customers can now invoke GPT-5.5 through the same Bedrock APIs already used for Anthropic, Meta, and Amazon's Nova family — and apply usage toward existing AWS spending commitments. Azure remains the primary OpenAI partner through 2032, but the lock-in is gone. Enterprises with pre-negotiated AWS spend commitments can route OpenAI workloads through a single cloud account without establishing a separate Azure relationship. Combined with DeepSeek V4-Flash pricing at $0.14 per million input tokens, the AI inference market has entered a genuine multi-provider commodity phase. For engineering teams, this means architecting for model portability is no longer optional — it is the rational economic choice. The days of single-vendor AI dependency are effectively over.
The end of Azure exclusivity fundamentally changes AI procurement. Enterprise teams can now comparison-shop across AWS, Azure, and GCP for OpenAI models, putting downward pressure on inference pricing and making multi-provider architecture the default.
Does this mean Azure is no longer the best place to run OpenAI models?
Azure remains the primary OpenAI partnership through 2032 and may still offer advantages in integration depth. However, the exclusivity lock-in is gone. Teams with existing AWS commitments can now access OpenAI models without a separate Azure account, making the choice more about existing cloud strategy than vendor availability.