A multimodal mathematical reasoning benchmark that tests whether models can answer visually grounded math questions correctly.
As of March 2026, Claude Opus 4.5 leads the MMAnswerBench leaderboard with 84.0% , followed by Qwen3.6 Plus (83.8%) and GLM-5 (82.5%).
Claude Opus 4.5
Anthropic
Qwen3.6 Plus
Alibaba
GLM-5
Zhipu AI
According to BenchLM.ai, Claude Opus 4.5 leads the MMAnswerBench benchmark with a score of 84.0%, followed by Qwen3.6 Plus (83.8%) and GLM-5 (82.5%). The top models are clustered within 1.5 points, suggesting this benchmark is nearing saturation for frontier models.
5 models have been evaluated on MMAnswerBench. The benchmark falls in the Math category. This category carries a 5% weight in BenchLM.ai's overall scoring system. MMAnswerBench is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
Year
2026
Tasks
Multimodal math questions
Format
Visual and structured mathematical QA
Difficulty
Advanced mathematical reasoning
MMAnswerBench matters because text-only math ability does not guarantee strong performance when the relevant information is embedded in diagrams, tables, or other visual inputs. It acts as a multimodal math transfer check.
Qwen3.6 launch benchmarksVersion
MMAnswerBench 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 mathematical reasoning benchmark that tests whether models can answer visually grounded math questions correctly.
Claude Opus 4.5 by Anthropic currently leads with a score of 84.0% on MMAnswerBench.
5 AI models have been evaluated on MMAnswerBench on BenchLM.
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