Monitor LLM performance - AI tools

BenchLLM is a tool for evaluating LLM-powered applications. It allows users to build test suites, generate quality reports, and choose between automated, interactive, or custom evaluation strategies.

• Other

LangWatch empowers AI teams to ship 10x faster with quality assurance at every step. It provides tools to measure, maximize, and easily collaborate on LLM performance.

• Paid
• From 59$

Libretto offers comprehensive LLM monitoring, automated prompt testing, and optimization tools to ensure the reliability and performance of your AI applications.

• Freemium
• From 180$

Laminar is an open-source platform that enables developers to trace, evaluate, label, and analyze Large Language Model (LLM) applications with minimal code integration.

• Freemium
• From 25$

Conviction is an AI platform designed for evaluating, testing, and monitoring Large Language Models (LLMs) to help developers build reliable AI applications faster. It focuses on detecting hallucinations, optimizing prompts, and ensuring security.

• Freemium
• From 249$

Neutrino AI provides multi-model AI infrastructure to optimize Large Language Model (LLM) performance for applications. It offers tools for evaluation, intelligent routing, and observability to enhance quality, manage costs, and ensure scalability.

• Usage Based

Parea is a platform for testing, evaluating, and monitoring Large Language Model (LLM) applications, helping teams track experiments, collect human feedback, and deploy prompts confidently.

• Freemium
• From 150$

Phoenix accelerates AI development with powerful insights, allowing seamless evaluation, experimentation, and optimization of AI applications in real time.

• Freemium

Gentrace is an LLM evaluation platform designed for AI teams to test and automate evaluations of generative AI products and agents. It facilitates collaborative development and ensures high-quality LLM applications.

• Usage Based

TheFastest.ai provides reliable, daily updated performance benchmarks for popular Large Language Models (LLMs), measuring Time To First Token (TTFT) and Tokens Per Second (TPS) across different regions and prompt types.

• Free