Keywords AI

Arize AI vs Braintrust

Compare Arize AI and Braintrust side by side. Both are tools in the Observability, Prompts & Evals category.

Quick Comparison

	Arize AI	Braintrust
Category	Observability, Prompts & Evals	Observability, Prompts & Evals
Pricing	Freemium	Freemium
Best For	ML teams who need comprehensive observability spanning traditional ML models and LLM applications	AI teams who need a unified platform for logging, evaluating, and improving LLM applications
Website	arize.com	braintrust.dev
Key Features	ML observability with LLM support Embedding drift detection Performance dashboards Automatic monitors and alerts Open-source Phoenix companion	Real-time LLM logging and tracing Built-in evaluation framework Prompt playground Dataset management Human review workflows
Use Cases	Production ML and LLM monitoring Embedding quality monitoring Model performance tracking Drift detection for AI systems Root cause analysis for AI failures	Iterating on prompts with real production data Running evaluations across model versions Building golden datasets from production traffic Human-in-the-loop review of LLM outputs Cost and latency optimization

When to Choose Arize AI vs Braintrust

Choose Arize AI if you need

Production ML and LLM monitoring
Embedding quality monitoring
Model performance tracking

Pricing: Freemium

Choose Braintrust if you need

Iterating on prompts with real production data
Running evaluations across model versions
Building golden datasets from production traffic

Pricing: Freemium

About Arize AI

Arize AI provides an ML and LLM observability platform for monitoring model performance in production. For LLM applications, Arize offers trace visualization, prompt analysis, embedding drift detection, and retrieval evaluation. Their open-source Phoenix library provides local tracing and evaluation. Arize helps teams identify quality issues, debug failures, and continuously improve AI system performance.

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About Braintrust

Braintrust is an end-to-end AI product platform trusted by companies like Notion, Stripe, and Vercel. It combines logging, evaluation datasets, prompt management, and an AI proxy with automatic caching and fallback. Braintrust's evaluation framework helps teams measure quality across prompt iterations with customizable scoring functions.

View Braintrust profile →Visit website

What is Observability, Prompts & Evals?

Tools for monitoring LLM applications in production, managing and versioning prompts, and evaluating model outputs. Includes tracing, logging, cost tracking, prompt engineering platforms, automated evaluation frameworks, and human annotation workflows.

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