Copy-ready prompt
{ "type": "Photograph of a computer monitor displaying academic and technical reports.", "style": "Slightly tilted screen photo, showing moiré patterns, LCD pixel grid, slight reflections, LaTeX document layout, serif font.", "document_header": { "left": "4. Benchmark Assessment", "right": "{argument name=\"report title\" default=\"DeepSeek-V4 Technical Report\"}" }, "introductory_text": "Summarize{argument name=\"main model name\" default=\"DeepSeek-V4\"} contrast{argument name=\"competitor model 1\" default=\"GPT-5.3\"} ,{argument name=\"competitor model 2\" default=\"Claude Opus 4.6\"} as well as{argument name=\"competitor model 3\" default=\"Gemini 3.1 Pro Preview\"} The comprehensive evaluation section.", "visualizations": { "legend": "Five items with color codes: Dark blue, Gray, Light gray, Blue stripes, 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 of core benchmarks. DeepSeek-V4 achieved industry-leading results in most benchmark tests." }, "data_table": { "columns": [ "Benchmarking", "{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 and Mathematics", "icon": "calculator/clipboard", "sub_items": 3 }, { "label": "code", "icon": "code brackets", "sub_items": 3 }, { "label": "Agent", "icon": "robot face", "sub_items": 3 } ] } } }
Prompt breakdown
{ "type": "Photograph of a computer monitor displaying academic and technical reports.", "style": "Slightly tilted screen photo, showing moiré patterns, LCD pixel grid, slight reflections, LaTeX document layout, serif font.", "document_header": { "left": "4.
Benchmark Assessment", "right": "{argument name=\"report title\" default=\"DeepSeek-V4 Technical Report\"}" }, "introductory_text": "Summarize{argument name=\"main model name\" default=\"DeepSeek-V4\"} contrast{argument name=\"competitor model 1\" default=\"GPT-5.3\"} ,{argument name=\"competitor model 2\" default=\"Claude Opus 4.6\"} as well as{argument name=\"competitor model 3\" default=\"Gemini 3.1 Pro Preview\"} The comprehensive evaluation section.", "visualizations": { "legend": "Five items with color codes: Dark blue, Gray, Light gray, Blue stripes, 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 of core benchmarks.
DeepSeek-V4 achieved industry-leading results in most benchmark tests." }, "data_table": { "columns": [ "Benchmarking", "{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 and Mathematics", "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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