Maxim AI vs Ragas
Maxim AI
getmaxim.ai
Ragas
ragas.ioSide by side
| Figure | Maxim AI | Ragas |
|---|---|---|
| Price from | $29/mo | — |
| Free plan | Yes | — |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 4 | 0 |
| Spec score · LLM Evaluation Tools | 8.1 (#8) | 7.2 (#23) |
| Spec score · AI LLM Evaluation Tools | 8.1 (#15) | 7.2 (#26) |
| Spec score · LLM Observability Tools | 8.1 (#18) | 7.1 (#25) |
| Integrations | The site lists LangChain, LangGraph, OpenAI, OpenAI Agents, LiveKit, Crew AI, Agno, LiteLLM, Anthropic, Bedrock, and Mistral integrations. | The documentation lists integrations with Arize, LangSmith, Amazon Bedrock, Google Gemini, OCI Gen AI, LangChain, LangGraph, LlamaIndex, and other frameworks. |
| Product | Maxim is an end-to-end evaluation and observability platform for simulating, evaluating, and monitoring AI agents. | Ragas is a library for systematically evaluating large language model applications. |
| Production monitoring | The observability features include workflow traces, live issue debugging, online evaluations, and alerts for regressions. | The product site describes online monitoring to evaluate LLM application quality in production. |
| Support | Developer and Professional plans list email support, Business lists private Slack support, and Enterprise lists a dedicated customer success manager. | The Ragas site directs users with questions to its Discord questions chatroom and gives an email for enterprise features and collaborations. |
Plans
Maxim AI
- DeveloperFree
- Professional$29 a month
- Business$49 a month
- EnterprisePriced on request
In their own words
Maxim AI
Maxim AI is an evaluation and observability platform for teams building AI agents. Its prompt IDE lets teams try prompts, models, tools, and context, manage prompt versions, create low-code chains, and deploy prompts without code changes. Teams can simulate agents in varied scenarios and assess them with preset or custom metrics. In production, workflow traces, live debugging, online evaluations, and regression alerts help teams monitor agents. Evaluators include LLM-as-a-judge, statistical, programmatic, and human options; teams can use synthetic or custom multimodal datasets. Product managers can define and analyze evaluations in a no-code UI, while developers can use SDKs, a CLI, and webhooks. SDKs are listed for Python, TypeScript, Java, and Go. Maxim supports web, API, and self-hosted deployment, with enterprise VPC deployments available. The Developer plan is free; Professional costs $29/user/mo and a 14-day trial is available. The free plan has up to 3 seats, 1 workspace, 10k monthly logs, and 3-day data retention.