According to BenchLM.ai, Claude Opus 4.5 leads the PolyMath benchmark with a score of 79.0%, followed by Qwen3.6 Plus (77.4%) and Qwen3.5 397B (73.3%). There is significant spread across the leaderboard, making this benchmark effective at differentiating model capabilities.

5 models have been evaluated on PolyMath. The benchmark falls in the Multilingual category. This category carries a 7% weight in BenchLM.ai's overall scoring system. PolyMath is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About 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.

Qwen3.6 launch benchmarks

BenchLM freshness & provenance

Version

PolyMath 2026

Refresh cadence

Quarterly

Staleness state

Current

Question availability

Public benchmark set

CurrentDisplay only

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.