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 23, 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.
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