A researcher has developed a custom harness called Rivermark to evaluate large language models for image generation tasks, specifically for social and marketing design. Preliminary results from over 4,700 pairwise human judgments indicate that open models like DeepSeek v4.1 Flash 1017 and GLM 5.3 Flash can match or surpass the design quality of Anthropic's Claude Code with Sonnet 5.5. The Rivermark harness, which is tuned for speed and iterative design, significantly boosts Sonnet 5.5's performance, placing it in a leading position. AI
IMPACT This research suggests that specialized harnesses can significantly improve the performance of open-source models for design tasks, potentially lowering costs for businesses.
RANK_REASON The item describes research findings comparing LLM performance on a specific task using a custom harness. [lever_c_demoted from research: ic=1 ai=1.0]
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