Azure OpenAI

Azure OpenAI API pricing calculator

Use one workload baseline to estimate monthly spend across every tracked Azure OpenAI model — input, cached-input, and output tokens included. Rank Azure OpenAI against 10 other providers on the same traffic pattern.

Azure OpenAI models · same workload baseline · last update: Thursday 8th October 2026

Calculate my API cost

Related: Cheapest Llm Api · Methodology

Calculator

Explore Azure OpenAI pricing for your workload

Step 1

Review your assumptions

These are estimates, not measured usage. Edit the inputs or choose a preset.

Synced Oct 8, 2026
Edit assumptions · 50,000 requests/month · 800 tokens/request · 82% input · 55% of input cached

50K requests / mo

800 tokens avg

Step 2

Lowest estimated cost

Top 2 models for this workload (unreviewed and conditional tariffs excluded)

General intelligence is not a task-specific quality guarantee. Test shortlisted models on your own examples. Source reviewed — exact offer checked on its provider page. Needs review — missing, stale or conflicting evidence; excluded from default recommendations. Estimates cover input/cache-read/output tokens only. Cache writes, storage, tools, search fees, taxes and unconfigured billing conditions are additional. Include billed reasoning tokens in your output estimate.

Selected model: cost breakdown

Estimate

GPT-5 Codex Global (standard)

Azure OpenAI · focus model for this workload

Estimated monthly cost (USD)

$92.71

Based on: 50K requests · 656 input tokens/request · 144 output tokens/request · 55% of input from cache

Input $20.70 Cached 18.04M tok Output $72.00
Total tokens40.00M
Per 1k requests$1.85
Rank#42 +$74.16 vs #1

Token costs only. Tool calls, search, storage, regional pricing, commitment discounts, and taxes may be excluded.

Explore all priced models

Step 3

Azure OpenAI models

2 models · Azure OpenAI

Estimated monthly cost

$92.71

Rank #2 of 2 · $74.16 more than cheapest · Source reviewed

How costs are calculated

Prices from ai-provider-pricing-validated.json, validated Thursday 8th October 2026. Confirm on official provider pages before billing decisions. Dataset contains 95 offer records, including archived entries and offers that require additional billing inputs or price evidence. Only reviewed offers appear in this calculator. See excluded offers and reasons

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Model Cost Comparison · Built by Lazige · Methodology

How we calculate cost

Monthly estimate = (input tokens × input $/MTok) + (cached tokens × cached $/MTok when published) + (output tokens × output $/MTok), scaled to your message volume. See the methodology for validation sources and update cadence.

Provider scenarios

Workloads teams model on Azure OpenAI

Illustrative patterns for Azure OpenAI pricing — start from a preset, then refine tokens from your usage dashboard.

“Estimate support traffic on Azure OpenAI using measured input and output tokens; apply cache discounts only when supported.”
Azure OpenAI · support botSupport preset · 55% cache
“RAG on Azure OpenAI should use the retrieval preset so repeated context is priced at the cached-input rate when available.”
Azure OpenAI · RAGRAG preset · 65% cache
“Coding assistants on Azure OpenAI need longer average tokens — the code preset is a better planning baseline than chat defaults.”
Azure OpenAI · code assistantCode preset · long context
“Before shipping agents on Azure OpenAI, compare monthly cost at your expected tool-call volume — not a single-turn demo.”
Azure OpenAI · agentsAgent preset · multi-step I/O