math benchmark
FunctionalMATH Leaderboard
FunctionalMATH is a functional variant of the MATH benchmark that tests language models' ability to generalize reasoning patterns across different problem instances.
Updated Sep 5, 2026
Models2
Model coverage2
MetricScore
EvidenceB
FunctionalMATH Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelGO | Score64.60% | Percentile100.00% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelGO | Score53.60% | Percentile0.00% | Participants2 | EvidenceC | Evaluated |
FunctionalMATH Highlights
The leading models and scores on this benchmark.
FunctionalMATH Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for FunctionalMATH
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is FunctionalMATH?
What FunctionalMATH measures and how its scores work.
FunctionalMATH is a functional variant of the MATH benchmark.
It measures language models' ability to generalize reasoning patterns across different problem instances using the Score metric with unit ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- FunctionalMATH
- Modality
- text
- Primary category
- math
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about FunctionalMATH.
Which model scores highest on FunctionalMATH?
Gemini 1.5 Pro is currently ranked first with 64.60%.
What are the top three models on FunctionalMATH?
The current leaders are Gemini 1.5 Pro (64.60%) and Gemini 1.5 Flash (53.60%).
Which FunctionalMATH model has the lowest official input price?
No matched official input price is currently available.
Which models are fastest among FunctionalMATH results?
The fastest matched records are Gemini 1.5 Flash (150.00 tok/s via Google) and Gemini 1.5 Pro (85.00 tok/s via Google).
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.