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SPECIFICTION
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Maxim AI vs Parea AI

Maxim AI

getmaxim.ai

Parea AI

parea.ai

Side by side

FigureMaxim AIParea AI
Price from$29/mo$150/mo
Free planYesYes
Free trialYes—
Open source——
WebYesYes
APIYesYes
Self-hostedYesYes
Plans published44
Spec score · LLM Evaluation Tools8.1 (#8)7.8 (#13)
Spec score · AI Agent Evaluation Tools8.1 (#12)7.8 (#20)
Spec score · LLM Observability Tools8.1 (#18)7.7 (#23)
ProductMaxim is an end-to-end evaluation and observability platform for simulating, evaluating, and monitoring AI agents.Parea describes itself as a platform for experiment tracking, observability, and human annotation to help teams ship LLM applications to production.

Plans

Maxim AI

  • DeveloperFree
  • Professional$29 a month
  • Business$49 a month
  • EnterprisePriced on request

Maxim AI pricing →

Parea AI

  • FreeFree
  • Team$150 a month
  • AI ConsultingPriced on request
  • EnterprisePriced on request

Parea AI pricing →

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.

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Parea AI

Parea AI is a platform for experiment tracking, observability, and human annotation for teams building LLM applications for production. Evaluation tools test and track performance, help debug failures, and compare changes to samples or models. Teams can collect feedback from end users, subject matter experts, and product teams, then comment on, annotate, and label logs for Q&A and fine-tuning. The Prompt Playground lets users test prompts on samples or large datasets and deploy them to production. Parea can log staging and production data, run online evaluations, capture user feedback, and track cost, latency, and quality. Logs can also become test datasets and support fine-tuning. Listed SDKs are for Python and JavaScript/TypeScript; integrations include OpenAI, Anthropic, LangChain, Instructor, DSPy, LiteLLM, Maven, SGLang, and Trigger.dev. Deployment options include the web and self-hosting, with on-premise deployment through Docker documented. The Free plan is free and limits teams to two members, 3k logs per month with one-month retention, and 10 deployed prompts. Team costs $150 a month; Enterprise pricing is custom.

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