Same model, served by 2 providers.
| Provider | Their model id | Serving | Input | Output | Cached in | Blended 3:1 | Source | |
|---|---|---|---|---|---|---|---|---|
Azure AI Foundry | gpt-5.3-codex | standardglobal endpointQuantization not disclosed | $1.75 | $14.0 | $0.175 | $4.81 | Verified 6h ago · Changed 8h ago | |
OpenAI Original creator | gpt-5.3-codex | standardQuantization not disclosed | $1.75 | $14.0 | $0.175 | $4.81 | Verified 8h ago · Changed 8h ago | |
Azure AI Foundry | gpt-5.3-codex | standarddata zone (US)Quantization not disclosed | $1.93 | $15.4 | $0.193 | $5.29 | Verified 6h ago · Changed 8h ago | |
Azure AI Foundry | gpt-5.3-codex | priorityglobal endpointQuantization not disclosed | $3.5 | $28.0 | $0.35 | $9.63 | Verified 6h ago · Changed 8h ago | |
Azure AI Foundry | gpt-5.3-codex | prioritydata zone (US)Quantization not disclosed | $3.85 | $30.8 | $0.385 | $10.59 | Verified 6h ago · Changed 8h 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 | $455/mo |
| OpenAI | $455/mo |
| Azure AI Foundry data zone (US) | $500.5/mo |
Cache hits use each provider's cached-input price where it has one. Cache write costs aren't included.