Azure OpenAI
No matching same-model rates available
PROVIDER PRICING & SAVINGS
Azure OpenAI costs depend on deployment type, region and purchasing terms. Compare token-based inference separately from provisioned capacity; sending fewer tokens does not necessarily remove an existing capacity commitment.
Official sources reviewed October 5, 2026
YOUR PROVIDER → LLMFly
See your original cost, LLMFly cost and savings side by side. Rates are already filled in—just adjust your usage.
No matching same-model rates available
The comparison above shows input and output rates for the same model on Azure OpenAI and LLMFly, plus the difference for identical usage. LLMFly totals already include the group multiplier. Change usage or model to see the resulting budget.
Identify the deployment tier behind each quoted rate. Keep Standard, Batch and provisioned capacity in separate calculations. For capacity you already pay for, compare the avoidable Azure cost with the added LLMFly bill rather than counting the full commitment as savings.
Map deployment names to model versions before matching prices. Use your actual cache mix, output volume and regional quote. Run a small workload on the selected group and compare usage records with the estimate; include any overlapping Azure commitment during migration.
Sources: Azure OpenAI pricing ↗
Not by itself. Review your capacity term, utilization and renewal options. Moving requests can leave unused paid capacity, so calculate the combined bill until that commitment can change.
Choose your compared model group, get an API key and make your first request.