{"id":50179,"date":"2026-02-13T12:18:08","date_gmt":"2026-02-13T04:18:08","guid":{"rendered":"https:\/\/www.1ai.net\/?p=50179"},"modified":"2026-02-13T12:18:08","modified_gmt":"2026-02-13T04:18:08","slug":"openai-%e5%8f%91%e5%b8%83%e6%96%b0%e6%ac%be%e5%ae%9e%e6%97%b6%e7%bc%96%e7%a8%8b%e6%a8%a1%e5%9e%8b","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/50179.html","title":{"rendered":"OpenAI release new real-time programming model"},"content":{"rendered":"<p>February 13th news, this morning<a href=\"https:\/\/www.1ai.net\/en\/tag\/openai\" title=\"[View articles tagged with [OpenAI]]\" target=\"_blank\" >OpenAI<\/a> Announce new funds in real time<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e7%bc%96%e7%a8%8b%e6%a8%a1%e5%9e%8b\" title=\"[See articles with [programmed model] labels]\" target=\"_blank\" >Programming Model<\/a>\"GPT-5.3-Codex-Spark.\"\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-50180\" title=\"d886574cj00tadqkx00cd000ugwm\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2026\/02\/d886574cj00tadqkx00ctd000u000gwm.jpg\" alt=\"d886574cj00tadqkx00cd000ugwm\" width=\"1080\" height=\"608\" \/><\/p>\n<p>Officially, GPT-5.3-Codex-Spark is a smaller version of GPT-5.3-Codex, and the launch of this model marks the first milestone of cooperation between Openai and Crebras, an AI chip-starter\u3002<\/p>\n<p>It is worth mentioning that Cerebras was seen as a challenger in Inverda and was created to address the problems of speed and delay in AI reasoning\u3002<\/p>\n<p>OpenAI official presentation, Codex-Spark, optimized to provide a near-immediate response when running on a very low delay hardware --<strong>more than 1,000 tokens per second<\/strong>, while maintaining a strong capacity in actual programming tasks\u3002<\/p>\n<p>Codex-Spark owns\u00a0<strong>128k context window<\/strong>, only supported<strong>Text Input<\/strong>I don't know. During the research preview, Codex-Spark will have an independent speed limit, and its use will not be factored into the standard rate limit\u3002<\/p>\n<p>Performance, yes\u00a0<strong>In the SWE-Bench Pro baseline test<\/strong>Codex-Spark, while slightly below the full GPT-5.3-Codex accuracy rate, significantly reduced the time-consuming nature of the mission (twice times) and performed significantly better than GPT-51-Codex-mini\u3002<\/p>\n<p>It is of concern that this GPT-5.3-Codex-Spark runs at Cerebras\u00a0<strong>Wafer Scale Engineering 3 (WSE-3)<\/strong>Go on. This post is part of our special coverage Syria Protests 2011<strong>WSE-3<\/strong>\u00a0possession\u00a0<strong>4 trillion transistors<\/strong>\u00a0and\u00a0<strong>900,000 AI cores and can provide a very low delay for Codex-Spark\u3002<\/strong><\/p>\n<p>GT-5.3-Codex-Spark<strong>Research preview<\/strong>Towards\u00a0<strong>ChatGPT Pro<\/strong>User roll-out\u3002<\/p>","protected":false},"excerpt":{"rendered":"<p>On February 13, in the morning, OpenAI announced the release of the new real-time programming model GPT-5.3-Codex-Spark. Officially, GPT-5.3-Codex-Spark is a smaller version of GPT-5.3-Codex, and the launch of this model marks the first milestone of cooperation between Openai and Crebras, an AI chip-starter. It is worth mentioning that Cerebras was seen as a challenger in Inverda and was created to solve the problem of speed and delay in AI reasoning. OpenAI official presentation, Codex-Spark, optimized to provide a near-immediate response when running on very low delay hardware --<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[190,7692],"collection":[],"class_list":["post-50179","post","type-post","status-publish","format-standard","hentry","category-news","tag-openai","tag-7692"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/50179","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=50179"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/50179\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=50179"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=50179"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=50179"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=50179"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}