Wolfram LLM Benchmarking Project
Enable JavaScript to interact with content and submit forms on Wolfram websites. Learn how
As major users and analyzers of large language model (LLM) technology, we've been continually<br>tracking the performance of LLMs. This project involves releasing our ongoing results,<br>initially for a specific well-characterized code generation task.
The task consists of going from English-language specifications to Wolfram Language code.<br>The test cases are exercises from<br>Stephen Wolfram's An Elementary<br>Introduction to the Wolfram Language.<br>These exercises have been done online by millions of humans, and we've developed effective<br>tools for determining functional correctness of code, which we're now applying to LLMs.
This table and previous versions are available in computable form in the<br>Wolfram Data Repository.
Find out how Wolfram Language can<br>enhance your LLM results.
For LLM developers :<br>contact us<br>for the dataset and tools or to arrange for your LLM to be included.
Related resources:
Wolfram|Alpha LLM API
What Is ChatGPT Doing … and Why Does It Work? (Stephen Wolfram)
Can AI Solve Science? (Stephen Wolfram)
Wolfram Community<br>Wolfram Blog
Facebook<br>Twitch<br>LinkedIn<br>YouTube<br>Wolfram
Legal & Privacy Policy<br>WolframAlpha.com | WolframCloud.com
Facebook<br>Twitch<br>LinkedIn<br>YouTube<br>Wolfram
© 2026 Wolfram
© 2026 Wolfram | Legal & Privacy Policy |
English
Deutsch<br>English<br>Español<br>Français<br>日本語<br>한국어<br>Português<br>Русский<br>简体中文<br>繁體中文