DeepEval
8.3#1 in llm evaluation toolsFrom $200 a monthFree planWebAPILinuxmacOS
VisitDeepEval vs Google Cloud Agent Evaluation
Google Cloud Agent Evaluation
6.1#19 in ai agent evaluation toolsFree planFree planWebAPI
VisitWhat both publish
| Fact | DeepEval | Google Cloud Agent Evaluation |
|---|---|---|
| Headquarters | San Francisco, California, United States | Mountain View, California, United States |
| Integrations | Listed integrations include LangChain, Pydantic AI, OpenAI Agents, LangGraph, AWS AgentCore, Strands, Google ADK, LlamaIndex, and CrewAI. | Google provides evaluation notebook launch options for Colab, Colab Enterprise, Agent Platform Workbench, and GitHub. |
| Metrics | The project advertises more than 50 metrics spanning quality, agents, RAG, conversations, safety, voice and multimodal use cases. | Prebuilt or custom raters score traces, including reference-based Exact Match and reference-free Helpfulness metrics. |
| Purpose | DeepEval is an open-source LLM evaluation framework for building evaluation pipelines to test AI systems. | Agent evaluation measures and helps improve agents' performance, safety, and quality. |
DeepEval plans
- DeepEvalFree
- FreeFree
- Starter$200 a month
- Team$2,000 a month
- EnterprisePriced on request
Google Cloud Agent Evaluation plans
- Pay-as-you-go usageFree
Pick DeepEval if…
DeepEval suits developers building repeatable AI evaluations in Python or CI/CD, especially those testing multiple modalities or agent workflows. Its free OS offering is for pre-production testing rather than production evaluation.
Pick Google Cloud Agent Evaluation if…
This service suits teams evaluating agents’ behavior, safety, and quality, including teams that want to test with synthetic scenarios or production traces. It also supports developers using notebook options or AI coding assistants.