GPT-Image-2 Case Studies · Benchmark Comparison Heatmap

Selected GPT-Image-2 reference cases from “Research Paper Illustrations,” suitable for retrieving generative effects in the direction of “Benchmark Comparison Heatmaps.”

Author: AI Plus Lab

✦Results

◌Case Background

来自 GPT-Image2-Skill README 的精选展示条目，适合作为“研究论文图示 / 基准对比热图”方向的站内参考案例。

⌘Prompt Content

Landscape 16:9 model × Benchmark heat matrix.

Columns (rotated 45°): "MMLU", "HumanEval", "GSM8K", "MATH", "BBH", "ARC-C", "HellaSwag", "TruthfulQA".
Rows (right-aligned sans-serif font): "GPT-4o", "Claude 4.7 Opus", "Gemini 3 Pro", "Llama 4 405B", "Qwen3-Next", "DeepSeek-V3.1", "Mistral-3 Large", "Yi-3 34B", "Phi-4 14B", "OLMo-2 7B".

Each cell is filled with a dusty turquoise gradient, with color intensity reflecting scores; scores displayed within each cell (e.g., "72.3", "88.1"). The best score in each column outlined with a 1.5px soft terracotta stroke.

Vertical color bar on the right, marked with scales "0", "25", "50", "75", "100" and labeled "accuracy (%)".

Title: "Benchmark comparison across 10 frontier LLMs". Subtitle: "Zero-shot accuracy; best score for each benchmark highlighted with bold outline. Evaluation date: March 2026."

✎Outcome Notes

This case has been migrated from the GPT-Image2-Skill README to AIPlusLab `/prompts` for easy on-site retrieval, browsing, and reuse.