PolyMath leaderboard
2 ranked models · higher is better
View accessible chart data
| Model | Rank | Provider | Score |
|---|---|---|---|
| Qwen3.7-Max | #1 | Alibaba Cloud | 86.5% |
| Qwen3.7-Plus | #2 | Alibaba Cloud | 84% |
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Knowledge · Benchmark profile
A multilingual mathematical reasoning benchmark that tests whether math performance transfers across languages rather than only in English.
Data verified 21 Jul 2026 · Methodology 1.6.0
Benchmark score on PolyMath
Qwen3.7-Max leads at 86.5%, followed by Qwen3.7-Plus (84%).
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 |
|---|---|---|---|
| Qwen3.7-Max | #1 | Alibaba Cloud | 86.5% |
| Qwen3.7-Plus | #2 | Alibaba Cloud | 84% |
One best score per model · higher is better
| Rank | Model | Provider | License | Evidence use | Score |
|---|---|---|---|---|---|
| #1 | Qwen3.7-Max qwen3.7-max | Alibaba Cloud | — | Reference only | 86.5% |
| #2 | Qwen3.7-Plus qwen3.7-plus | Alibaba Cloud | — | Reference only | 84% |
About PolyMath
A multilingual mathematical reasoning benchmark that tests whether math performance transfers across languages rather than only in English. 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 multilingual mathematical reasoning benchmark that tests whether math performance transfers across languages rather than only in English.
Qwen3.7-Max by Alibaba Cloud currently leads with 86.5%.
2 models in the LuminaBench cohort have a qualifying score on this benchmark.
No. This benchmark is display-only and does not enter the overall Lumina composite.
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