Azure AI Foundry Evaluation vs Amazon Bedrock Evaluations
Both are agent evaluation tools. Here is how they actually differ on price, billing model and deployment.
Azure AI Foundry Evaluation
Microsoft's evaluation, red-teaming and observability layer, positioned as a production lifecycle tool rather than a model API. Charges no separate runtime fee - but Foundry Memory was still in preview as of Q1 2026.
Amazon Bedrock Evaluations
AWS-native model and agent evaluation, billed per evaluation job. The recurring criticism is fragmentation - CloudWatch, Prompt Flows and Evaluations look like one product on paper and behave like three in practice.
| Azure AI Foundry Evaluation | Amazon Bedrock Evaluations | |
|---|---|---|
| Category | Agent Evaluation | Agent Evaluation |
| Our rating | 4/5 | 3/5 |
| Starting price | Model inference cost only | Per evaluation job |
| Billing meter | No usage metering | job |
| Free plan | No | No |
| Free self-hosting | No or paid tier only | No or paid tier only |
| Best for | Enterprises already standardised on Azure that need governance, audit trails and red-teaming around AI usage as much as they need the models themselves. | Teams already committed to Bedrock who want evaluation inside their existing AWS account and IAM boundary, and who value procurement simplicity over best-in-class agent tooling. |
Our verdict on Azure AI Foundry Evaluation
Azure AI Foundry is the most convincingly enterprise-shaped of the three cloud evaluation offerings, and Microsoft's own framing is the clearest signal - it presents Foundry less as a model API than as a full production lifecycle tool covering evaluation, red-teaming and observability alongside inference. That matches its buyer, which is a large organisation needing governance and audit trails around AI usage as much as it needs the models. Built-in red-teaming is genuinely unusual for a cloud platform's evaluation layer, and the pricing has one quietly good property - there is no separate runtime fee for the agent service, so you pay for model inference and tool calls rather than a per-agent-hour charge, and OpenAI models cost the same as going to OpenAI directly while gaining Azure's SLA. Two cautions. Foundry Memory was still Public Preview as of Q1 2026, so SLAs and pricing were unsettled for anyone evaluating then. And total cost can span inference, orchestration, retrieval, evaluations, observability, storage and connected Azure services, which makes a single number close to meaningless.
Full Azure AI Foundry Evaluation review →Our verdict on Amazon Bedrock Evaluations
Bedrock Evaluations is the sensible choice for a specific buyer - the team already on Bedrock - and unremarkable for anyone else. The argument is not capability, it is boundary. Everything stays inside your AWS account and IAM perimeter, there is no new vendor, no new contract and no new security review, and evaluation is billed per job rather than as a subscription so occasional use costs very little. For a regulated enterprise that has already cleared AWS, that combination resolves in one step what a specialist tool turns into a procurement project. The recurring criticism is fragmentation, and it is fair. CloudWatch metrics for Bedrock, Bedrock Prompt Flows and Bedrock Evaluations are described as three surfaces that feel like one on paper and three in practice, and that is the characteristic experience of AWS-native tooling - each piece works, and stitching them into a coherent workflow is your job. On agents specifically, AgentCore reached GA in October 2025 but Policy and Evaluations arrived in preview in December, so the agent evaluation story is newer than the headline suggests.
Full Amazon Bedrock Evaluations review →Frequently Asked Questions
What is the main difference between Azure AI Foundry Evaluation and Amazon Bedrock Evaluations?
Azure AI Foundry Evaluation: Enterprises already standardised on Azure that need governance, audit trails and red-teaming around AI usage as much as they need the models themselves. Amazon Bedrock Evaluations: Teams already committed to Bedrock who want evaluation inside their existing AWS account and IAM boundary, and who value procurement simplicity over best-in-class agent tooling. Both sit in Agent Evaluation, so the decision usually comes down to billing model and deployment rather than raw capability.
Which is cheaper, Azure AI Foundry Evaluation or Amazon Bedrock Evaluations?
It depends entirely on your workload shape, because they meter differently - Azure AI Foundry Evaluation bills on no usage metering and Amazon Bedrock Evaluations bills on job. Published starting prices are Model inference cost only and Per evaluation job respectively, but those numbers are not comparable until you apply them to the same traffic. Use our cost calculator to model both against your own request volume and span count.
Can I self-host Azure AI Foundry Evaluation or Amazon Bedrock Evaluations?
Azure AI Foundry Evaluation: No or paid tier only. Amazon Bedrock Evaluations: No or paid tier only. Free self-hosting means no licence fee, not no cost - you still own the infrastructure, upgrades and on-call.