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Leaked AI Benchmark Report Photo

Generates a realistic photograph of a computer screen displaying an academic technical report with bar charts and a detailed performance table.

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Leaked AI Benchmark Report Photo Images 1
Full prompt9 editable parameters · 1,564 characters
{ "type": "photograph of a computer monitor displaying an academic technical report", "style": "slightly angled screen photo, visible moire pattern, LCD pixel grid, slight glare, LaTeX document formatting, serif fonts", "document_header": { "left": "4 Benchmark Evaluation", "right": "" }, "introductory_text": "Paragraph summarizing comprehensive evaluation of against , , and .", "visualizations": { "legend": "5 items with color codes: dark blue, grey, light grey, blue striped, light blue", "bar_charts": { "count": 6, "labels": [ "MMLU-Pro (EM)", "GPQA-Diamond (Pass@1)", "AIME 2025 (Pass@1)", "LiveCodeBench (Pass@1-COT)", "SWE-bench Verified (Resolved)", "Tau-bench (Average)" ] }, "caption": "Figure 1 | Performance comparison on core benchmarks. DeepSeek-V4 achieves state-of-the-art results across the majority of benchmarks." }, "data_table": { "columns": [ "Benchmark", "", "", "", "", "GPT-4.1" ], "categories": { "count": 4, "rows": [ {"label": "General", "icon": "globe/network", "sub_items": 3}, {"label": "Reasoning & Math", "icon": "calculator/clipboard", "sub_items": 3}, {"label": "Code", "icon": "code brackets", "sub_items": 3}, {"label": "Agent", "icon": "robot face", "sub_items": 3} ] } } }

Prompt variants

originalen9 editable parameters · 1,564 characters
{ "type": "photograph of a computer monitor displaying an academic technical report", "style": "slightly angled screen photo, visible moire pattern, LCD pixel grid, slight glare, LaTeX document formatting, serif fonts", "document_header": { "left": "4 Benchmark Evaluation", "right": "" }, "introductory_text": "Paragraph summarizing comprehensive evaluation of against , , and .", "visualizations": { "legend": "5 items with color codes: dark blue, grey, light grey, blue striped, light blue", "bar_charts": { "count": 6, "labels": [ "MMLU-Pro (EM)", "GPQA-Diamond (Pass@1)", "AIME 2025 (Pass@1)", "LiveCodeBench (Pass@1-COT)", "SWE-bench Verified (Resolved)", "Tau-bench (Average)" ] }, "caption": "Figure 1 | Performance comparison on core benchmarks. DeepSeek-V4 achieves state-of-the-art results across the majority of benchmarks." }, "data_table": { "columns": [ "Benchmark", "", "", "", "", "GPT-4.1" ], "categories": { "count": 4, "rows": [ {"label": "General", "icon": "globe/network", "sub_items": 3}, {"label": "Reasoning & Math", "icon": "calculator/clipboard", "sub_items": 3}, {"label": "Code", "icon": "code brackets", "sub_items": 3}, {"label": "Agent", "icon": "robot face", "sub_items": 3} ] } } }