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LLM Evaluation & BenchmarkingAI / Fintech

FinEval

A benchmark I built to see how well language models actually handle money math — the multi-step, numbers-heavy questions where they tend to sound confident and still get it wrong. Over 1,000 questions, all graded automatically.

FinEval runs models through 1,000+ financial reasoning questions and grades the answers with an LLM-as-a-judge setup, so instead of a single pass/fail number I can see exactly where a model's reasoning falls apart. On top of that there's a Next.js dashboard for digging into the results — comparing models, filtering by question type, and reading the failure cases side by side.

Highlights

  • 1,000+ question benchmark covering numerical reasoning, multi-step problems, and factual accuracy.
  • Automated LLM-as-a-Judge grading that flags where and how a model's reasoning goes wrong.
  • Next.js dashboard for comparing models and digging into individual error cases.