This report synthesises findings from 11 peer-reviewed papers addressing the following research question: How do different multimodal model architectures compare in accuracy on HumanEval-V tasks when evaluated against visual coding benchmarks. 10 claims were extracted from source literature; 10 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 8.5/10. This report is a machine-generated literature synthesis and does not constitute original research.Research goal: How do different multimodal model architectures compare in accuracy on HumanEval-V tasks when evaluated against visual coding benchmarks?Autonomous literature synthesis. Automated review score: 8.5/10. Full text and citation available at Assignee Research.