Keywords AI

Braintrust vs Confident AI

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

Quick Comparison

	Braintrust	Confident AI
Category	Observability, Prompts & Evals	Observability, Prompts & Evals
Pricing	Freemium	Open Source
Best For	AI teams who need a unified platform for logging, evaluating, and improving LLM applications	Developers who want to add automated LLM evaluation testing to their CI/CD pipeline
Website	braintrust.dev	confident-ai.com
Key Features	Real-time LLM logging and tracing Built-in evaluation framework Prompt playground Dataset management Human review workflows	DeepEval open-source evaluation framework 14+ evaluation metrics Benchmarking suite Pytest integration Conversational evaluation support
Use Cases	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	Unit testing LLM applications Automated evaluation in CI/CD pipelines Benchmarking across model versions RAG evaluation with custom metrics Regression testing for prompts

When to Choose Braintrust vs Confident AI

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

Choose Confident AI if you need

Unit testing LLM applications
Automated evaluation in CI/CD pipelines
Benchmarking across model versions

Pricing: Open Source

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.

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About Confident AI

Confident AI develops DeepEval, the most popular open-source LLM evaluation framework. DeepEval provides 14+ evaluation metrics including faithfulness, answer relevancy, contextual recall, and hallucination detection. The Confident AI platform adds collaboration features, regression testing, and continuous evaluation in CI/CD pipelines.

View Confident AI 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.

Browse all Observability, Prompts & Evals tools →