{"id":7000,"date":"2026-06-26T19:00:00","date_gmt":"2026-06-26T17:00:00","guid":{"rendered":"https:\/\/implementi.ai\/en\/2026\/06\/26\/openai-launches-gpt-5-6-amid-us-ai-regulation-drama\/"},"modified":"2026-06-26T19:00:00","modified_gmt":"2026-06-26T17:00:00","slug":"openai-%d8%aa%d8%b7%d9%84%d9%82-gpt-5-%d9%88gpt-6-%d9%88%d8%b3%d8%b7-%d8%a7%d9%84%d8%ac%d8%af%d9%84-%d8%a7%d9%84%d8%af%d8%a7%d8%a6%d8%b1-%d8%ad%d9%88%d9%84-%d8%aa","status":"publish","type":"post","link":"https:\/\/implementi.ai\/ar\/2026\/06\/26\/openai-launches-gpt-5-6-amid-us-ai-regulation-drama\/","title":{"rendered":"\u00abOpenAI\u00bb \u062a\u0637\u0644\u0642 \u00abGPT-5.6\u00bb \u0648\u0633\u0637 \u0627\u0644\u062c\u062f\u0644 \u0627\u0644\u062f\u0627\u0626\u0631 \u062d\u0648\u0644 \u062a\u0646\u0638\u064a\u0645 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0641\u064a \u0627\u0644\u0648\u0644\u0627\u064a\u0627\u062a \u0627\u0644\u0645\u062a\u062d\u062f\u0629."},"content":{"rendered":"<p>It&#8217;s been an intriguing 24 hours in the AI realm, courtesy of OpenAI\u2019s latest development following a surprise intervention from the Trump administration. This rapid series of events saw the company unveiling its new model, aptly named GPT-5.6 with some promising features for a variety of sectors.<\/p>\n<p>OpenAI&#8217;s GPT-5.6 is not just a single model, but a suite comprising of three distinct entities &#8211; Sol, Terra, and Luna. The unveiling might have come as unexpected news, but each model within the suite holds vast potential for diverse applications. Sol takes the center stage, serving as the flagship model of the suite. However, Terra and Luna stand out in their own respects as useful AI tools for different scenarios.<\/p>\n<p>Sol, the suite&#8217;s crown jewel, is the embodiment of high-tier AI solutions. Sporting an impressive skills set, it promises an exceptional performance in coding, cybersecurity, and biology tasks. Most intriguingly, it is touted to maintain focus during long-horizon agentic AI functions.<\/p>\n<p>The pricing of GPT-5.6 Sol is noteworthy. At $5 per million tokens for input and $30 for output, it&#8217;s a highly competitive price. Especially, when compared to peer models like Anthropic&#8217;s Claude Fable 5. This pricing strategy not only illustrates OpenAI&#8217;s ambitions in making their state-of-the-art technology accessible, but also sharpens the competitive edge in a market where price often acts as a key differentiation point.<\/p>\n<p>\u0648\u062a\u0643\u0645\u0644 \u00ab\u062a\u064a\u0631\u0627\u00bb \u062a\u0634\u0643\u064a\u0644\u0629 \u00ab\u0633\u0648\u0644\u00bb. \u0648\u062a\u064f\u0635\u0646\u0641 \u00ab\u062a\u064a\u0631\u0627\u00bb \u0643\u0637\u0631\u0627\u0632 \u0645\u0646 \u0627\u0644\u0641\u0626\u0629 \u0627\u0644\u0645\u062a\u0648\u0633\u0637\u0629\u060c \u0648\u064a\u064f\u062e\u0635\u0635 \u0639\u0627\u062f\u0629\u064b \u0644\u0644\u0623\u0639\u0645\u0627\u0644 \u0627\u0644\u0634\u0627\u0642\u0629 \u0630\u0627\u062a \u0627\u0644\u062d\u062c\u0645 \u0627\u0644\u0643\u0628\u064a\u0631. \u0648\u0647\u0630\u0627 \u064a\u062c\u0639\u0644\u0647\u0627 \u062e\u064a\u0627\u0631\u064b\u0627 \u0645\u062a\u0639\u062f\u062f \u0627\u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645\u0627\u062a \u0644\u0644\u0635\u0646\u0627\u0639\u0627\u062a \u0623\u0648 \u0627\u0644\u0634\u0631\u0643\u0627\u062a \u0627\u0644\u062a\u064a \u062a\u062a\u0639\u0627\u0645\u0644 \u0645\u0639 \u0645\u0647\u0627\u0645 \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0639\u0644\u0649 \u0646\u0637\u0627\u0642 \u0648\u0627\u0633\u0639.<\/p>\n<p>\u0648\u0644\u0643\u064a \u0644\u0627 \u062a\u064f\u0647\u0645\u0644\u060c \u062a\u064f\u0643\u0645\u0644 \u00ab\u0644\u0648\u0646\u0627\u00bb \u0647\u0630\u0647 \u0627\u0644\u0645\u062c\u0645\u0648\u0639\u0629. \u062a\u064f\u0639\u0631\u0641 \u00ab\u0644\u0648\u0646\u0627\u00bb \u0628\u0623\u0646\u0647\u0627 \u0646\u0645\u0648\u0630\u062c \u0633\u0631\u064a\u0639 \u0648\u0628\u0623\u0633\u0639\u0627\u0631 \u0645\u0639\u0642\u0648\u0644\u0629\u060c \u0648\u0647\u064a \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0627\u0644\u0645\u062b\u0627\u0644\u064a \u0644\u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u064a\u0648\u0645\u064a. \u0641\u0647\u064a \u062a\u0645\u062b\u0644 \u062d\u0644\u0627\u064b \u0628\u0633\u064a\u0637\u064b\u0627 \u0644\u0644\u0645\u0647\u0627\u0645 \u0627\u0644\u062a\u064a \u062a\u062a\u0637\u0644\u0628 \u0625\u0646\u062c\u0627\u0632\u064b\u0627 \u0633\u0631\u064a\u0639\u064b\u0627\u060c \u0645\u0645\u0627 \u064a\u0639\u0632\u0632 \u0627\u0644\u0643\u0641\u0627\u0621\u0629 \u0627\u0644\u062a\u0634\u063a\u064a\u0644\u064a\u0629 \u0627\u0644\u0625\u062c\u0645\u0627\u0644\u064a\u0629.<\/p>\n<p>\u0645\u0639 \u0637\u0631\u062d \u0645\u062c\u0645\u0648\u0639\u0629 GPT-5.6\u060c \u0623\u0639\u062f\u062a OpenAI \u0646\u0641\u0633\u0647\u0627 \u0644\u0645\u0633\u062a\u0642\u0628\u0644 \u0645\u062b\u064a\u0631 \u0644\u0644\u0627\u0647\u062a\u0645\u0627\u0645. \u064a\u062a\u0645\u064a\u0632 \u0627\u0644\u062b\u0644\u0627\u062b\u064a \u0627\u0644\u0645\u0643\u0648\u0646 \u0645\u0646 Sol \u0648Terra \u0648Luna \u0628\u0645\u062c\u0645\u0648\u0639\u0629 \u0631\u0627\u0626\u0639\u0629 \u0645\u0646 \u0627\u0644\u0642\u062f\u0631\u0627\u062a \u0641\u064a \u0645\u062c\u0627\u0644\u0627\u062a \u0627\u0644\u0628\u0631\u0645\u062c\u0629 \u0648\u0627\u0644\u0623\u0645\u0646 \u0627\u0644\u0633\u064a\u0628\u0631\u0627\u0646\u064a \u0648\u0639\u0644\u0645 \u0627\u0644\u0623\u062d\u064a\u0627\u0621 \u0648\u063a\u064a\u0631\u0647\u0627. \u0648\u0644\u0627 \u064a\u0632\u0627\u0644 \u0647\u0646\u0627\u0643 \u0627\u0644\u0643\u062b\u064a\u0631 \u0645\u0645\u0627 \u064a\u0645\u0643\u0646 \u062a\u0648\u0642\u0639\u0647 \u0628\u0634\u0623\u0646 \u0627\u0644\u0645\u062f\u0649 \u0627\u0644\u0630\u064a \u0633\u062a\u0635\u0644 \u0625\u0644\u064a\u0647 \u062a\u0637\u0628\u064a\u0642\u0627\u062a\u0647\u0627 \u0641\u064a \u0627\u0644\u0639\u0627\u0644\u0645 \u0627\u0644\u0648\u0627\u0642\u0639\u064a\u060c \u0648\u0643\u064a\u0641 \u0633\u064a\u0624\u062b\u0631 \u0638\u0647\u0648\u0631\u0647\u0627 \u0639\u0644\u0649 \u0637\u0631\u064a\u0642\u0629 \u0641\u0647\u0645\u0646\u0627 \u0644\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0648\u0627\u0633\u062a\u062e\u062f\u0627\u0645\u0646\u0627 \u0644\u0647. \u0648\u0645\u0639 \u0630\u0644\u0643\u060c \u0641\u0647\u0630\u0647 \u0623\u0648\u0642\u0627\u062a \u0645\u062b\u064a\u0631\u0629 \u0644\u0643\u0644 \u0645\u0646 \u0639\u0634\u0627\u0642 \u0627\u0644\u062a\u0643\u0646\u0648\u0644\u0648\u062c\u064a\u0627 \u0648\u0627\u0644\u0645\u062e\u0636\u0631\u0645\u064a\u0646 \u0641\u064a \u0647\u0630\u0627 \u0627\u0644\u0645\u062c\u0627\u0644.<\/p>\n<p>\u0644\u0645\u0632\u064a\u062f \u0645\u0646 \u0627\u0644\u062a\u0641\u0627\u0635\u064a\u0644\u060c \u064a\u0645\u0643\u0646\u0643 \u0627\u0644\u0627\u0637\u0644\u0627\u0639 \u0639\u0644\u0649 \u0627\u0644\u062a\u0642\u0631\u064a\u0631 \u0627\u0644\u0643\u0627\u0645\u0644 \u0639\u0644\u0649 <a href=\"https:\/\/www.theverge.com\/ai-artificial-intelligence\/957845\/openai-gpt-5-6-trump-administration-ai-preview\" target=\"_blank\" rel=\"noopener\">\u0630\u0627 \u0641\u064a\u0631\u062c<\/a>.<\/p>","protected":false},"excerpt":{"rendered":"<p>It&#8217;s been an intriguing 24 hours in the AI realm, courtesy of OpenAI\u2019s latest development following a surprise intervention from the Trump administration. This rapid series of events saw the company unveiling its new model, aptly named GPT-5.6 with some promising features for a variety of sectors. OpenAI&#8217;s GPT-5.6 is not just a single model, but a suite comprising of [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":7001,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[26],"tags":[],"class_list":["post-7000","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-automation"],"featured_image_src":"https:\/\/implementi.ai\/wp-content\/uploads\/2026\/06\/7000-1024x683.jpg","blog_images":{"medium":"https:\/\/implementi.ai\/wp-content\/uploads\/2026\/06\/7000-300x200.jpg","large":"https:\/\/implementi.ai\/wp-content\/uploads\/2026\/06\/7000-1024x683.jpg"},"ams_acf":[],"jetpack_featured_media_url":"https:\/\/implementi.ai\/wp-content\/uploads\/2026\/06\/7000.jpg","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/implementi.ai\/ar\/wp-json\/wp\/v2\/posts\/7000","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/implementi.ai\/ar\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/implementi.ai\/ar\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/implementi.ai\/ar\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/implementi.ai\/ar\/wp-json\/wp\/v2\/comments?post=7000"}],"version-history":[{"count":0,"href":"https:\/\/implementi.ai\/ar\/wp-json\/wp\/v2\/posts\/7000\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/implementi.ai\/ar\/wp-json\/wp\/v2\/media\/7001"}],"wp:attachment":[{"href":"https:\/\/implementi.ai\/ar\/wp-json\/wp\/v2\/media?parent=7000"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/implementi.ai\/ar\/wp-json\/wp\/v2\/categories?post=7000"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/implementi.ai\/ar\/wp-json\/wp\/v2\/tags?post=7000"}],"curies":[{"name":"\u062f\u0628\u0644\u064a\u0648 \u0628\u064a","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}