Z.ai vs Agenta

Detailed side-by-side comparison to help you choose the right tool

Z.ai

Business AI Solutions

AI platform offering large language models (GLM series) and agent-based AI services including AutoGLM, AutoClaw, and enterprise-ready APIs for various applications.

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Starting Price

Custom

Agenta

🟡Low Code

Business AI Solutions

All-in-one LLM development platform. Manage prompts, run evaluations, and monitor AI apps in production. Open-source with team collaboration features.

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Starting Price

Free

Feature Comparison

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FeatureZ.aiAgenta
CategoryBusiness AI SolutionsBusiness AI Solutions
Pricing Plans10 tiers73 tiers
Starting PriceFree
Key Features
    • Interactive LLM playground with side-by-side prompt comparison
    • Comprehensive prompt versioning with branching and environments
    • Multi-model support for 50+ LLM providers with custom model integration

    Z.ai - Pros & Cons

    Pros

      Cons

        Agenta - Pros & Cons

        Pros

        • Open-source foundation with MIT licensing providing complete control and avoiding vendor lock-in
        • Unified platform combining prompt management, evaluation, and observability in integrated workflows
        • Enterprise-grade security with SOC2 Type I certification and comprehensive data protection
        • Collaborative features enabling cross-functional teams to work together effectively on LLM projects
        • Self-hosting options available for organizations requiring maximum data privacy and control
        • Comprehensive evaluation framework with both automated and human evaluation capabilities
        • Active open-source community with regular updates and community-driven improvements
        • Full API/UI parity enabling seamless integration into existing development workflows

        Cons

        • Self-hosted deployments require meaningful DevOps effort to run, scale, and maintain compared to pure SaaS alternatives
        • Ecosystem and community are smaller than established competitors like Langfuse or Weights & Biases, so third-party tutorials are limited
        • Pro-to-Business pricing jump ($49 to $399/month) is steep for mid-sized teams that outgrow the hobby limits
        • LLM-as-a-judge and automated evaluators still require careful calibration to produce reliable signals on domain-specific tasks
        • Deep integrations with niche agent frameworks or custom orchestration may require manual SDK instrumentation

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        🔒 Security & Compliance Comparison

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        Security FeatureZ.aiAgenta
        SOC2✅ Yes
        GDPR✅ Yes
        HIPAA❌ No
        SSO✅ Yes
        Self-Hosted✅ Yes
        On-Prem
        RBAC
        Audit Log
        Open Source✅ Yes
        API Key Auth✅ Yes
        Encryption at Rest
        Encryption in Transit
        Data Residency
        Data Retention
        🦞

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