{"id":30234,"date":"2026-10-09T21:16:44","date_gmt":"2026-10-09T19:16:44","guid":{"rendered":"https:\/\/comunicagenia.com\/blog\/o1-openai-s-first-deep-reasoning-model\/"},"modified":"2026-10-09T21:16:44","modified_gmt":"2026-10-09T19:16:44","slug":"o1-openai-s-first-deep-reasoning-model","status":"publish","type":"post","link":"https:\/\/comunicagenia.com\/en\/blog\/o1-openai-s-first-deep-reasoning-model\/","title":{"rendered":"o1: OpenAI’s first deep reasoning model"},"content":{"rendered":"\n

OpenAI o1<\/strong> represents a paradigm shift in artificial intelligence: a model designed to \u201cthink before responding,\u201d dedicating computational time in inference to generating internal chains of logical deliberation.<\/p>\n\n\n

The Inferential Reasoning Paradigm (Chain-of-Thought)<\/h2>\n\n\n

Unlike classic autoregressive LLM models that generate word-by-word text immediately, o1 breaks down the problem into sub-hypotheses, tests different approaches, detects logical contradictions, and self-corrects its deductions before presenting the final answer.<\/p>\n\n\n

\n

IMO Mathematics<\/h3>

83%<\/p>

In qualifying exams of the International Mathematics Olympiad (compared to 13% of GPT-4o).<\/p><\/div>\n\n\n

Codeforces<\/h3>

89th percentile<\/p>

Level of competitive programming much higher than the standard of conventional LLMs.<\/p><\/div>\n\n\n

GPQA Diamond<\/h3>

PhD level<\/p>

Exceeds the accuracy threshold of doctoral-level human experts in physics and chemistry.<\/p><\/div>\n<\/div>\n\n\n

Specialized Approach to Text and Availability<\/h2>\n\n\n

The o1 model is primarily optimized for text, code and mathematical formulas. It is available for ChatGPT Plus, Team and Pro users, as well as qualified developers on the OpenAI API.<\/p>\n\n\n

For reasoning tasks with a shorter waiting time and a more accessible budget, consult o1-mini<\/a>, and visit our OpenAI models guide<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

OpenAI o1 represents a paradigm shift in artificial intelligence: a model designed to \u201cthink before responding,\u201d dedicating computational time in inference to generating internal chains of logical deliberation. The Inferential Reasoning Paradigm (Chain-of-Thought) Unlike classic autoregressive LLM models that generate word-by-word text immediately, o1 breaks down the problem into sub-hypotheses, tests different approaches, detects logical […]<\/p>\n","protected":false},"author":1,"featured_media":29487,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","_thinkrank_schema_form_data":"","_thinkrank_selected_schema_type":"","_thinkrank_additional_schemas":"","_thinkrank_canonical_url":"","_thinkrank_og_title":"","_thinkrank_og_description":"","_thinkrank_og_image":"","_thinkrank_twitter_title":"","_thinkrank_twitter_description":"","_thinkrank_twitter_image":"","_thinkrank_imported_from":"","_thinkrank_focus_keywords":[],"_thinkrank_focus_keyword":"","_thinkrank_robots_meta_enabled":0,"_thinkrank_robots_meta":"","_thinkrank_advanced_robots_meta":"","_thinkrank_exclude_from_search":0,"_thinkrank_exclude_from_archives":0,"_thinkrank_primary_category":0,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center 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o1 represents a paradigm shift in artificial intelligence: a model designed to \u201cthink before responding,\u201d dedicating computational time in inference to generating internal chains of logical deliberation. The Inferential Reasoning Paradigm (Chain-of-Thought) Unlike classic autoregressive LLM models that generate word-by-word text immediately, o1 breaks down the problem into sub-hypotheses, tests different approaches, detects logical…","_links":{"self":[{"href":"https:\/\/comunicagenia.com\/en\/wp-json\/wp\/v2\/posts\/30234","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/comunicagenia.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/comunicagenia.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/comunicagenia.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/comunicagenia.com\/en\/wp-json\/wp\/v2\/comments?post=30234"}],"version-history":[{"count":0,"href":"https:\/\/comunicagenia.com\/en\/wp-json\/wp\/v2\/posts\/30234\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/comunicagenia.com\/en\/wp-json\/wp\/v2\/media\/29487"}],"wp:attachment":[{"href":"https:\/\/comunicagenia.com\/en\/wp-json\/wp\/v2\/media?parent=30234"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/comunicagenia.com\/en\/wp-json\/wp\/v2\/categories?post=30234"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/comunicagenia.com\/en\/wp-json\/wp\/v2\/tags?post=30234"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}