GPT-5.1: OpenAI vs Azure AI.
The shared canonical model is the same release. The available endpoints, regions, limits and rate cards remain deployment-specific.
- Shared canonical models
- 116
- OpenAI deployments
- 2
- Azure AI deployments
- 4
present at both providers
for this model
for this model
Compare the actual contract.
Use this page to start a provider decision; open the sources before treating an input price, region, or capability as production-ready.
| Provider | Provider model ID | Mode | Region | Input | Output | Context | Tools |
|---|---|---|---|---|---|---|---|
| Azure AI | global/gpt-5.1 | Chat | global | $1.25 / 1M | $10.00 / 1M | 272K | supported |
| OpenAI | gpt-5.1 | Responses | global | $1.25 / 1M | $10.00 / 1M | 400K | supported |
| OpenAI | gpt-5.1 | Chat | global | $1.25 / 1M | $10.00 / 1M | 272K | supported |
| Azure AI | gpt-5.1 | Chat | global | $1.25 / 1M | $10.00 / 1M | 272K | supported |
| Azure AI | eu/gpt-5.1 | Chat | eu | $1.38 / 1M | $11.00 / 1M | 272K | supported |
| Azure AI | us/gpt-5.1 | Chat | us | $1.38 / 1M | $11.00 / 1M | 272K | supported |
Evidence for this comparison
Each entry comes from the deployment record currently tracked by ALLM.
Deployment intelligence, explained
The same release can still be a different integration
OpenAI and Azure AI can expose the same canonical model release through different provider model IDs, endpoint shapes, regions, limits, and price cards. “Same model” does not establish the same operating contract.
Compare the concrete records before you route traffic, set a fallback, or calculate product margin. The evidence links point back to the provider data behind each result.