Best LLM Evaluation Tools for ChatGPT

Compare the Top LLM Evaluation Tools that integrate with ChatGPT as of August 2025

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This a list of LLM Evaluation tools that integrate with ChatGPT. Use the filters on the left to add additional filters for products that have integrations with ChatGPT. View the products that work with ChatGPT in the table below.

What are LLM Evaluation Tools for ChatGPT?

LLM (Large Language Model) evaluation tools are designed to assess the performance and accuracy of AI language models. These tools analyze various aspects, such as the model's ability to generate relevant, coherent, and contextually accurate responses. They often include metrics for measuring language fluency, factual correctness, bias, and ethical considerations. By providing detailed feedback, LLM evaluation tools help developers improve model quality, ensure alignment with user expectations, and address potential issues. Ultimately, these tools are essential for refining AI models to make them more reliable, safe, and effective for real-world applications. Compare and read user reviews of the best LLM Evaluation tools for ChatGPT currently available using the table below. This list is updated regularly.

1

PromptLayer

PromptLayer

The first platform built for prompt engineers. Log OpenAI requests, search usage history, track performance, and visually manage prompt templates. manage Never forget that one good prompt. GPT in prod, done right. Trusted by over 1,000 engineers to version prompts and monitor API usage. Start using your prompts in production. To get started, create an account by clicking “log in” on PromptLayer. Once logged in, click the button to create an API key and save this in a secure location. After making your first few requests, you should be able to see them in the PromptLayer dashboard! You can use PromptLayer with LangChain. LangChain is a popular Python library aimed at assisting in the development of LLM applications. It provides a lot of helpful features like chains, agents, and memory. Right now, the primary way to access PromptLayer is through our Python wrapper library that can be installed with pip.

Starting Price: Free

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2

Ragas

Ragas

Ragas is an open-source framework designed to test and evaluate Large Language Model (LLM) applications. It offers automatic metrics to assess performance and robustness, synthetic test data generation tailored to specific requirements, and workflows to ensure quality during development and production monitoring. Ragas integrates seamlessly with existing stacks, providing insights to enhance LLM applications. The platform is maintained by a team of passionate individuals leveraging cutting-edge research and pragmatic engineering practices to empower visionaries redefining LLM possibilities. Synthetically generate high-quality and diverse evaluation data customized for your requirements. Evaluate and ensure the quality of your LLM application in production. Use insights to improve your application. Automatic metrics that helps you understand the performance and robustness of your LLM application.

Starting Price: Free

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3

Chatbot Arena

Chatbot Arena

Ask any question to two anonymous AI chatbots (ChatGPT, Gemini, Claude, Llama, and more). Choose the best response, you can keep chatting until you find a winner. If AI identity is revealed, your vote won't count. Upload an image and chat, or use text-to-image models like DALL-E 3, Flux, and Ideogram to generate images, Use RepoChat tab to chat with Github repos. Backed by over 1,000,000+ community votes, our platform ranks the best LLM and AI chatbots. Chatbot Arena is an open platform for crowdsourced AI benchmarking, hosted by researchers at UC Berkeley SkyLab and LMArena. We open source the FastChat project on GitHub and release open datasets.

Starting Price: Free

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4

Literal AI

Literal AI

Literal AI is a collaborative platform designed to assist engineering and product teams in developing production-grade Large Language Model (LLM) applications. It offers a suite of tools for observability, evaluation, and analytics, enabling efficient tracking, optimization, and integration of prompt versions. Key features include multimodal logging, encompassing vision, audio, and video, prompt management with versioning and AB testing capabilities, and a prompt playground for testing multiple LLM providers and configurations. Literal AI integrates seamlessly with various LLM providers and AI frameworks, such as OpenAI, LangChain, and LlamaIndex, and provides SDKs in Python and TypeScript for easy instrumentation of code. The platform also supports the creation of experiments against datasets, facilitating continuous improvement and preventing regressions in LLM applications.

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5

ChainForge

ChainForge

ChainForge is an open-source visual programming environment designed for prompt engineering and large language model evaluation. It enables users to assess the robustness of prompts and text-generation models beyond anecdotal evidence. Simultaneously test prompt ideas and variations across multiple LLMs to identify the most effective combinations. Evaluate response quality across different prompts, models, and settings to select the optimal configuration for specific use cases. Set up evaluation metrics and visualize results across prompts, parameters, models, and settings, facilitating data-driven decision-making. Manage multiple conversations simultaneously, template follow-up messages, and inspect outputs at each turn to refine interactions. ChainForge supports various model providers, including OpenAI, HuggingFace, Anthropic, Google PaLM2, Azure OpenAI endpoints, and locally hosted models like Alpaca and Llama. Users can adjust model settings and utilize visualization nodes.

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