A multimodal benchmark for dynamic mathematical reasoning over visual and structured inputs.
BenchLM mirrors the published score view for DynaMath. Qwen3.6-27B leads the public snapshot at 85.6%. BenchLM does not use these results to rank models overall.
Year
2026
Tasks
Dynamic visual math problems
Format
Multimodal mathematical reasoning
Difficulty
Advanced multimodal mathematics
DynaMath is intended to probe whether models can track changing mathematical structure in multimodal settings rather than solving static text-only equations.
Version
DynaMath 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.
A multimodal benchmark for dynamic mathematical reasoning over visual and structured inputs.
Qwen3.6-27B by Alibaba currently leads with a score of 85.6% on DynaMath.
1 AI models have been evaluated on DynaMath on BenchLM.
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