Effects by Tags

Full prompt
{ "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": "{argument name=\"report title\" default=\"DeepSeek-V4 Technical Report\"}" }, "introductory_text": "Paragraph summarizing comprehensive evaluation of {argument name=\"main model name\" default=\"DeepSeek-V4\"} against {argument name=\"competitor model 1\" default=\"GPT-5.3\"}, {argument name=\"competitor model 2\" default=\"Claude Opus 4.6\"}, and {argument name=\"competitor model 3\" default=\"Gemini 3.1 Pro Preview\"}.", "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", "{argument name=\"main model name\" default=\"DeepSeek-V4\"}", "{argument name=\"competitor model 1\" default=\"GPT-5.3\"}", "{argument name=\"competitor model 2\" default=\"Claude Opus 4.6\"}", "{argument name=\"competitor model 3\" default=\"Gemini 3.1 Pro Preview\"}", "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} ] } } }
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