--- license: mit language: - en pretty_name: llm-arithmetic size_categories: - n<1K task_categories: - question-answering tags: - llm-evaluation - arithmetic - finance - claude configs: - config_name: rows data_files: - split: train path: results.json field: rows --- # llm-arithmetic Author: Dmitriy Semenkevich (dimhold) This dataset measures whether 4 Claude models can do 10 pieces of SaaS arithmetic (MRR, ending cash, LTV, runway) with every tool taken away. Headline, from the repository: exact answers were 10 / 10 for claude-opus-5, 9 / 10 for claude-sonnet-5, 3 / 10 for claude-haiku-4-5 and 9 / 10 for claude-fable-5; all 4 models were within 1% on 10 / 10 (RESULTS.md). This is a mirror. The canonical home is the Zenodo record and the GitHub repository; criteria, limitations and full tables live there. - Paper: https://dimhold.by/papers/llm-arithmetic/ - Code and full write up: https://github.com/dimhold/llm-arithmetic - DOI: https://doi.org/10.5281/zenodo.22128841 ## Files | path | what it is | |---|---| | `results.json` | every call: tasks with expected values computed in code, and one row per model and task under `rows` | | `transcript.md` | every question and every full reply | | `RESULTS.md` | the result tables | ## How it was produced Run on 2026-08-16 through the Claude Code CLI with built in tools and MCP servers disabled. Tasks are generated from seed 20260812, ground truth is computed in `run.ts` and never by a model, and the answering model is verified against `modelUsage`. The scripts that turn these files into every number are in the GitHub repository. One local path in `results.json` is written as ``. Nothing else was edited. ## Licence MIT, the licence of the repository, covering code and data. ## Citation ```bibtex @misc{semenkevich2026llmarithmetic, author = {Semenkevich, Dmitriy}, title = {llm-arithmetic: can Anthropic's models do SaaS arithmetic without a calculator?}, year = {2026}, doi = {10.5281/zenodo.22128841}, url = {https://doi.org/10.5281/zenodo.22128841} } ```