PyraMathBench - Numeral Recognition: leaderboard
A multimodal numerical parsing subtask of PyraMathBench (2026): 714 items where a model extracts the numbers, variables and formulas a problem needs from an image while ignoring irrelevant values. Items are scored 0-100 with partial credit for small numeric error, zero-shot chain of thought, median of three samples; higher is better.
Metric: Score (0-100) on the 714 numeral recognition items: extract the numbers, variables and formulas a problem needs from an image, score (0-100) per item: numeric answers score 100 within 1e-4 and fall linearly to 0 at 1 percent relative error, expressions are matched with Math-Verify, text answers by MathBERT cosine similarity of at least 0.9 and choices by exact match; zero-shot chain of thought, median of three samples at temperature 0.7; higher is better. Source: arxiv.org. Saturation forecast: Around September 2027. 3 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-4o Mini (2024-07-18) | 14.6 | #1510 |
| 2 | GPT-4o (2024-11-20) | 12.3 | #866 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=pyramathbench-numeral-recognition · How It Works · Data refreshed daily, snapshot 2026-11-13.