# Missing Commitment Tier for High-Volume Foundry Tools (Azure AI Services) Canonical: https://www.pointfive.co/efficiency-hub/inefficiencies/missing-commitment-tier-for-high-volume-foundry-tools-azure-ai-services Foundry Tools (formerly Azure AI services and Cognitive Services) such as Speech, Translator, Azure Language, Vision OCR and Document Intelligence bill... By: PointFive Updated: 2026-09-28 [Cloud Efficiency Hub](https://www.pointfive.co/efficiency-hub) The short version Foundry Tools (formerly Azure AI services and Cognitive Services) such as Speech, Translator, Azure Language, Vision OCR and Document Intelligence bill per unit of usage on the default Standard pricing: per audio hour, per million characters or per thousand transactions. PointFive Research Cloud cost research at PointFive Azure service [Azure Cognitive Services](https://www.pointfive.co/efficiency-hub/cloud-services/azure-cognitive-services) Category [AI](https://www.pointfive.co/efficiency-hub/service-category/ai) Reference CER-0511 Type Suboptimal Pricing Model ## Explanation Why the waste happens and who it affects. For resources with steady, high monthly volume, Microsoft offers commitment tiers: a fixed monthly fee that includes a usage quota at a lower effective rate than Standard pricing, with overage billed at the tier's overage rate. Resources typically stay on Standard pricing because usage grows gradually from a pilot and the pricing tier is never revisited, or because the workload runs on a multi-service Foundry resource, which cannot use commitment tiers at all. Azure Advisor raises 'Consider using a commitment tier' recommendations for Speech, Translator, Language, Computer Vision, Form Recognizer (Document Intelligence) and LUIS resources whose past 30 days of usage would justify one. ## Billing model The pricing dimensions that drive this cost. Standard pricing Pay-as-you-go billing per unit of usage, with no commitment Commitment tier Fixed monthly fee for a usage quota at discounted rates, charged on the first day of each calendar month Overage Usage above the tier's quota, billed at the overage rate stated for that tier Commitment period One calendar month; the first month is prorated, the plan can't be changed mid-month and is non-refundable once purchased ## How to detect 4 checks to find it in your estate. - Review Azure Advisor cost recommendations titled 'Consider using a commitment tier for ... resource' for Cognitive Services accounts - For each Speech, Translator, Language, Vision or Document Intelligence resource, pull 30 to 90 days of usage from Azure Monitor metrics or Cost analysis (group by meter) and compare monthly volume with the quotas and effective rates of the commitment tiers on the Foundry Tools pricing pages - Identify high-volume usage running through multi-service Foundry or AI services resources, which are not eligible for commitment tiers - For resources already on a commitment plan, compare monthly usage with the included quota to catch plans that are oversized or no longer needed before the next renewal ## How to fix 5 ways to remove the waste. - Purchase the commitment tier that matches steady monthly usage from the resource's Commitment tier pricing blade, choosing auto-renewal; the plan starts immediately with a prorated first month - Move high-volume, steady workloads from multi-service resources to single-service resources (for example a dedicated Speech or Translator resource) so they can use commitment pricing - Keep spiky, seasonal or declining workloads on Standard pricing, since unused quota in a month is still paid for - Review usage monthly and select a different tier for the next calendar month, or set Do not auto-renew before midnight UTC on the last day of the month to return to Standard pricing - Use connected container commitment plans for on-premises container usage, and treat disconnected container plans separately since they have an annual commitment ## Documentation Vendor references for pricing and configuration. - [Use Foundry Tools with commitment tier pricing learn.microsoft.com](https://learn.microsoft.com/en-us/azure/ai-services/commitment-tier) - [Cost recommendations - Azure Advisor learn.microsoft.com](https://learn.microsoft.com/en-us/azure/advisor/advisor-reference-cost-recommendations) - [Plan and Manage Costs - Microsoft Foundry learn.microsoft.com](https://learn.microsoft.com/en-us/azure/foundry/concepts/manage-costs) - [Foundry Tools pricing azure.microsoft.com](https://azure.microsoft.com/en-us/pricing/details/cognitive-services/) ## Related inefficiencies [Browse the library](https://www.pointfive.co/efficiency-hub) - Azure Cognitive Services CER-0248 ### [Non-Production Azure OpenAI Deployments Using PTUs Instead of PAYG](https://www.pointfive.co/efficiency-hub/inefficiencies/non-production-azure-openai-deployments-using-ptus-instead-of-payg-9fe81) Development, testing, QA, and sandbox environments rarely have the steady, predictable traffic patterns needed to justify PTU deployments. These workloads often run intermittently, with lower throughput and shorter usage windows. When PTUs... AI - Azure Cognitive Services CER-0246 ### [Missing Reserved PTUs for Steady-State Azure OpenAI Workloads](https://www.pointfive.co/efficiency-hub/inefficiencies/missing-reserved-ptus-for-steady-state-azure-openai-workloads-f78d4) Many production Azure OpenAI workloads - such as chatbots, inference services, and retrieval-augmented generation (RAG) pipelines-use PTUs consistently throughout the day. When usage stabilizes after initial experimentation, continuing to... AI - Azure Cognitive Services CER-0510 ### [Regional Standard Azure OpenAI Deployments Without a Data Residency Requirement](https://www.pointfive.co/efficiency-hub/inefficiencies/regional-standard-azure-openai-deployments-without-a-data-residency-requirement) Azure OpenAI models in Microsoft Foundry (formerly Azure AI services) can be deployed as Global, Data Zone or regional (Standard) pay-per-token deployments. The types differ in where prompts and responses are processed: Global may use any... AI --- Source: the public page above. Product screenshots and illustrative interfaces are examples, not live customer data.