IUMB benchmarks language models on undergraduate-level mathematics problems.
Wolfram LLM Benchmarking Project
The Wolfram LLM Benchmarking Project tracks model performance on a code-generation task written in Wolfram Language.

About Wolfram LLM Benchmarking Project
The Wolfram LLM Benchmarking Project publishes ongoing results tracking how large language models perform on generating Wolfram Language code from English-language specifications. Test cases are exercises from Stephen Wolfram's An Elementary Introduction to the Wolfram Language, with functional correctness checked using Wolfram-developed tools.
Current and previous results tables are available in computable form in the Wolfram Data Repository. Coverage is initially limited to this single code-generation task, and LLM developers need to contact the project to obtain the dataset and tools or request inclusion.
Key features
- Tracks LLM performance on English-to-Wolfram Language code generation
- Uses exercises from An Elementary Introduction to the Wolfram Language
- Checks functional correctness of generated code
- Provides current and previous results in Wolfram Data Repository
- Allows LLM developers to request dataset and inclusion
- Tests a defined task with functional correctness checks
- Publishes current and previous results in computable form
- Uses exercises with prior use by human learners online
- Initially limited to English-to-Wolfram Language code generation
- Dataset, tools and model inclusion require contacting the project team
Wolfram LLM Benchmarking Project at a glance
- Type
- Online tool
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Good for
- Developers
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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