A multimodal benchmark for dynamic mathematical reasoning over visual and structured inputs.
As of March 2026, Qwen3.6 Plus leads the DynaMath leaderboard with 88.0% , followed by GPT-5.2 (86.8%) and Qwen3.5 397B (86.3%).
Qwen3.6 Plus
Alibaba
GPT-5.2
OpenAI
Qwen3.5 397B
Alibaba
According to BenchLM.ai, Qwen3.6 Plus leads the DynaMath benchmark with a score of 88.0%, followed by GPT-5.2 (86.8%) and Qwen3.5 397B (86.3%). The top models are clustered within 1.7 points, suggesting this benchmark is nearing saturation for frontier models.
6 models have been evaluated on DynaMath. The benchmark falls in the Multimodal & Grounded category. This category carries a 12% weight in BenchLM.ai's overall scoring system. DynaMath is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
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.
Qwen3.6 launch benchmarksVersion
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 Plus by Alibaba currently leads with a score of 88.0% on DynaMath.
6 AI models have been evaluated on DynaMath on BenchLM.
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