MATH-500 Problem Set leaderboard
2 ranked models · higher is better
View accessible chart data
| Model | Rank | Provider | Score |
|---|---|---|---|
| MiniCPM5-1B | #1 | OpenBMB | 91.6% |
| LFM2.5-8B-A1B | #2 | LiquidAI | 88.8% |
Loading benchmark header
Loading benchmark registry
Mathematics · Benchmark profile
A curated subset of 500 problems from the MATH dataset, covering algebra, counting and probability, geometry, intermediate algebra, number theory, prealgebra, and precalculus.
Data verified 21 Jul 2026 · Methodology 1.6.0
Benchmark score on MATH-500 Problem Set
MiniCPM5-1B leads at 91.6%, followed by LFM2.5-8B-A1B (88.8%).
Visual analysis
Switch between model placement, score distribution and descriptive provider averages. Every view uses the same sourced leaderboard.
2 ranked models · higher is better
| Model | Rank | Provider | Score |
|---|---|---|---|
| MiniCPM5-1B | #1 | OpenBMB | 91.6% |
| LFM2.5-8B-A1B | #2 | LiquidAI | 88.8% |
One best score per model · higher is better
| Rank | Model | Provider | License | Evidence use | Score |
|---|---|---|---|---|---|
| #1 | MiniCPM5-1B minicpm5-1b | OpenBMB | open | Estimated reference | 91.6% |
| #2 | LFM2.5-8B-A1B lfm2-5-8b-a1b | LiquidAI | open | Estimated reference | 88.8% |
About MATH-500 Problem Set
A curated subset of 500 problems from the MATH dataset, covering algebra, counting and probability, geometry, intermediate algebra, number theory, prealgebra, and precalculus. Results stay tied to the exact model variant and evaluation system. Multiple systems for the same model use the best published score on this page; overall Lumina scoring uses the median of ranking-eligible rows.
Open benchmark source ↗FAQ
A curated subset of 500 problems from the MATH dataset, covering algebra, counting and probability, geometry, intermediate algebra, number theory, prealgebra, and precalculus.
MiniCPM5-1B by OpenBMB currently leads with 91.6%.
2 models in the LuminaBench cohort have a qualifying score on this benchmark.
Related