Same model, served by 2 providers.
| Provider | Their model id | Serving | Input | Output | Cached in | Blended 3:1 | Source | |
|---|---|---|---|---|---|---|---|---|
Azure AI Foundry | o1-pro | batchglobal endpointQuantization not disclosed | $75.0 | $300.0 | — | $131.25 | Verified 5h ago · Changed 7h ago | |
Azure AI Foundry | o1-pro | batchdata zone (US)Quantization not disclosed | $82.5 | $330.0 | — | $144.38 | Verified 5h ago · Changed 7h ago | |
Azure AI Foundry | o1-pro | standardglobal endpointQuantization not disclosed | $150.0 | $600.0 | — | $262.5 | Verified 5h ago · Changed 7h ago | |
OpenAI Original creatorDeprecated | o1-pro | standardQuantization not disclosed | $150.0 | $600.0 | — | $262.5 | Verified 7h ago · Changed 7h ago | |
Azure AI Foundry | o1-pro | standarddata zone (US)Quantization not disclosed | $165.0 | $660.0 | — | $288.75 | Verified 5h ago · Changed 7h ago | |
Azure AI Foundry | o1-pro | standardeastusQuantization not disclosed | $165.0 | $660.0 | — | $288.75 | Verified 5h ago · Changed 7h ago |
Same weights don't always mean identical outputs: quantization, context limits and serving stacks can change quality, especially for tool calling. Prices are USD per 1M tokens; hyperscaler prices are for the reference region shown.
| Azure AI Foundry global endpoint | $27,000/mo |
| OpenAI | $27,000/mo |
| Azure AI Foundry data zone (US) | $29,700/mo |
| Azure AI Foundry eastus | $29,700/mo |
Cache hits use each provider's cached-input price where it has one. Cache write costs aren't included.