o3 is the most advanced reasoning model OpenAI has released so far. It is built for tasks that require multi-step problem solving, analytical thinking, and autonomous tool use. Unlike traditional LLMs that focus on text generation, o3 incorporates a longer internal chain-of-thought<\/a> mechanism, allowing it to break down complex queries and reason through them more effectively. Built with 10 times the compute used in o1<\/a>, o3 introduces \u201cthinking with images,\u201d enabling it to process and reason about visual inputs directly. This multimodal integration, combined with its ability to proactively invoke tools like canvas, browser search, and file analysis, marks a shift from static generation to active problem-solving, making o3 one of the closest approximations of early AGI capabilities in OpenAI\u2019s model lineup.<\/p>\n To learn more about OpenAI\u2019s o3 model along with its capabilities and benchmarks, check out our in-depth article covering o3 and o4-mini.<\/a> Now let\u2019s look at 6 tasks and o3 prompts that are going to blow your mind. <\/p>\n Prompt:<\/strong> \u201cWhere is this place? Give me exact location and address.\u201d<\/em><\/p>\n Output:<\/strong><\/p>\n Observation:<\/strong><\/p>\n Wow! I didn\u2019t expect it to pinpoint the location so easily. o3 basically sliced the image into smaller segments and searched each one until it landed on the right answer.<\/p>\n Prompt:<\/strong> \u201cI have attached an image of a page of a Mnauscript. Analyze it and tell me more about it.\u201d<\/em><\/p>\n Output:<\/strong><\/p>\n \nTask 1: Find this Location <\/h2>\n
![\"Find](\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/04\/Where-is-this-place_.webp\")
<\/figure>\n<\/div>\n![\"Find](\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/04\/output.webp\")
<\/figure>\n<\/div>\nTask 2: Decipher a Manuscript<\/h2>\n