The best llm eval in 2025
LLM Eval tools benchmark and compare the performance of large language models. They help teams assess accuracy, reasoning ability, and task suitability before adoption.


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Evidently AI
—Collaborative AI observability platform- Overview
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Evidently helps evaluate, test and monitor your AI-powered products. From ML-based classifiers to LLM chatbots and agents. Built on top of the leading open-source library with over 20 million downloads: https://github.com/evidentlyai/evidently




Deepchecks Monitoring
—Open Source Monitoring for AI & ML- Overview
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Deepchecks Monitoring takes the open source testing experience all the way to production: enabling you to send data over time, explore system status and receive alerts on problems that arise over time.





Okareo
—Error Discovery & Evaluation for AI Agents- Overview
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The single platform to analyze, test, observe, evaluate and fine-tune new AI features




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OpenPipe is the easiest way to train and deploy your own fine-tuned models. It only takes a few minutes to get started and can save you 25x relative to OpenAI with higher quality.

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A SaaS platform that enables you to monitor machine learning model performance, proactively alerting you on biases, concept drifts and data integrity issues early and resolve them to improve the accuracy and reliability of models. With real time insights, Mona provides an ongoing, granular understanding of the data to address fairness concerns and other anomalies before they negatively impact the business.

