Benchmark profile
PolyMath
A multilingual mathematical reasoning benchmark that tests whether math performance transfers across languages rather than only in English.
Data verifiedBenchmark score on PolyMath — July 29, 2026
BenchLM mirrors the published score view for PolyMath. Qwen3.7 Max leads the public snapshot at 86.5% , followed by Qwen3.7 Plus (84.0%). BenchLM does not use these results to rank models overall.
Qwen3.7 Max
Alibaba
qwen3-7-max
Qwen3.7 Plus
Alibaba
qwen3-7-plus
Benchmark score table (2 models)
ScoreAbout PolyMath
Year
2026
Tasks
Multilingual math problems
Format
Cross-lingual mathematical reasoning
Difficulty
Advanced multilingual reasoning
PolyMath isolates cross-lingual math transfer rather than general chat quality. It is useful for spotting models that keep surface fluency in other languages but lose structured reasoning quality.
BenchLM freshness & provenance
Version
PolyMath 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
FAQ
What does PolyMath measure?
A multilingual mathematical reasoning benchmark that tests whether math performance transfers across languages rather than only in English.
Which model scores highest on PolyMath?
Qwen3.7 Max by Alibaba currently leads with a score of 86.5% on PolyMath.
How many models are evaluated on PolyMath?
2 AI models have been evaluated on PolyMath on BenchLM.
Compare Top Models on PolyMath
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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