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 <private-project>. Nothing else was edited.

Licence

MIT, the licence of the repository, covering code and data.

Citation

@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}
}