A multimodal mathematical reasoning benchmark that tests whether models can answer visually grounded math questions correctly.
BenchLM mirrors the published score view for MMAnswerBench. Claude Opus 4.5 leads the public snapshot at 84.0% , followed by GLM-5.1 (83.8%) and Qwen3.6 Plus (83.8%). BenchLM does not use these results to rank models overall.
Claude Opus 4.5
Anthropic
GLM-5.1
Z.AI
Qwen3.6 Plus
Alibaba
The published MMAnswerBench snapshot is tightly clustered at the top: Claude Opus 4.5 sits at 84.0%, while the third row is only 0.2 points behind. The broader top-10 spread is 3.1 points, so many of the published scores sit in a relatively narrow band.
6 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.
Version
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.
6 AI models have been evaluated on MMAnswerBench on BenchLM.
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