{"id":1177,"date":"2026-06-19T16:39:11","date_gmt":"2026-06-19T16:39:11","guid":{"rendered":"https:\/\/convly.ai\/gpt-5-6-what-we-know-2026\/"},"modified":"2026-06-19T16:39:35","modified_gmt":"2026-06-19T16:39:35","slug":"gpt-5-6-what-we-know-2026","status":"publish","type":"post","link":"https:\/\/convly.ai\/fr\/gpt-5-6-what-we-know-2026\/","title":{"rendered":"GPT-5.6: What We Know vs What&#8217;s Leaked (2026)"},"content":{"rendered":"<p>As of June 19, 2026, GPT-5.6 does not officially exist. There is no model card on OpenAI&#8217;s site, no system card, no API listing, no benchmark table, and no pricing. The current shipping flagship is still GPT-5.5, released April 23. Anyone telling you GPT-5.6 is &#8220;out&#8221; is reading leaks, not release notes.<\/p>\n<p>That said, the rumors are unusually loud and unusually specific. A model identifier surfaced in OpenAI&#8217;s Codex routing logs, prediction markets are pricing a near-certain June launch, and OpenAI&#8217;s own chief scientist reportedly called the next model &#8220;a meaningful improvement.&#8221; This piece draws a hard line between the two: what OpenAI has actually confirmed, and what&#8217;s still hearsay \u2014 plus how the leaked GPT-5.6 would land against Claude Fable 5, Gemini 3.5, and the open-weight wave from China.<\/p>\n<div class=\"convly-tldr\">\n<h3>Principaux enseignements<\/h3>\n<ul>\n<li><strong>Not announced.<\/strong> OpenAI has published nothing official on GPT-5.6 as of June 19, 2026 \u2014 no model card, benchmarks, or pricing. GPT-5.5 (April 23) remains the current flagship.<\/li>\n<li><strong>The leak is real, the specs are not confirmed.<\/strong> A <code>gpt-5.6<\/code> entry appeared in Codex routing logs (spotted May 14); the 1.5M-token context, Mini\/Pro variants, and efficiency gains come from developer probes and reporting, not OpenAI.<\/li>\n<li><strong>A &#8220;meaningful improvement.&#8221;<\/strong> Chief scientist Jakub Pachocki reportedly told staff in an internal message that GPT-5.6 beats GPT-5.5 \u2014 per The Information, not a public statement.<\/li>\n<li><strong>Markets bet on late June.<\/strong> Polymarket priced roughly an 83% chance of a release in the June 22\u201328 window; counting Manifold and broader &#8220;by June 30&#8221; framings, the spread runs about 80\u201389%.<\/li>\n<li><strong>The field already moved.<\/strong> Claude Fable 5 (June 9) posts a self-reported 80.3% on SWE-bench Pro; GLM-5.2 and Kimi K2.7 shipped open weights the week of June 12.<\/li>\n<li><strong>We update on ship.<\/strong> The moment OpenAI posts an official model or system card, this article gets revised with verified numbers.<\/li>\n<\/ul>\n<\/div>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_84 counter-flat ez-toc-counter ez-toc-container-direction\">\n<label for=\"ez-toc-cssicon-toggle-item-6a35fe75d6552\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #000000;color:#000000\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #000000;color:#000000\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewbox=\"0 0 24 24\" version=\"1.2\" baseprofile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-6a35fe75d6552\"  aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/convly.ai\/fr\/gpt-5-6-what-we-know-2026\/#What_OpenAI_has_actually_confirmed\" >What OpenAI has actually confirmed<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/convly.ai\/fr\/gpt-5-6-what-we-know-2026\/#Whats_only_leaked_treat_as_unconfirmed\" >What&#8217;s only leaked (treat as unconfirmed)<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/convly.ai\/fr\/gpt-5-6-what-we-know-2026\/#How_the_rumored_GPT-56_would_stack_up\" >How the rumored GPT-5.6 would stack up<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/convly.ai\/fr\/gpt-5-6-what-we-know-2026\/#What_to_do_right_now\" >What to do right now<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/convly.ai\/fr\/gpt-5-6-what-we-know-2026\/#FAQ\" >FAQ<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/convly.ai\/fr\/gpt-5-6-what-we-know-2026\/#Bottom_line\" >R\u00e9sultat<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/convly.ai\/fr\/gpt-5-6-what-we-know-2026\/#Related_articles\" >Articles connexes<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"What_OpenAI_has_actually_confirmed\"><\/span>What OpenAI has actually confirmed<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Strip away the speculation and the official record is short. OpenAI&#8217;s public model lineup, as of mid-June 2026, tops out at GPT-5.5 and its Pro tier. Everything below is from primary releases and system cards, not rumor:<\/p>\n<ul>\n<li><strong>GPT-5.4<\/strong> shipped March 5, 2026, succeeding GPT-5.2. It cut factual errors versus 5.2 and added native computer use, scoring 75% on OSWorld-Verified against 5.2&#8217;s 47.3% (and edging past the ~72% human baseline). Mini and nano variants followed shortly after.<\/li>\n<li><strong>GPT-5.5<\/strong> shipped April 23, 2026, with API access the next day. OpenAI called it its &#8220;smartest and most intuitive&#8221; model, built for long-horizon agentic work \u2014 planning, tool use, and multi-step execution. Published benchmarks include 82.7% on Terminal-Bench 2.0 and 51.7% on FrontierMath Tier 1\u20133. It carries roughly a 1M-token context window.<\/li>\n<\/ul>\n<p>That&#8217;s the confirmed baseline. GPT-5.6, if it ships, would be the next sub-60-day increment in a cadence OpenAI has kept all year. The pattern is the strongest <em>evidence<\/em> for a June drop \u2014 but a pattern is not an announcement.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Whats_only_leaked_treat_as_unconfirmed\"><\/span>What&#8217;s only leaked (treat as unconfirmed)<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Here&#8217;s where caution matters. Every spec below is vendor-adjacent or community-sourced. None of it is on an OpenAI page.<\/p>\n<h3>The Codex log identifier<\/h3>\n<p>On May 14, 2026, a researcher known as Haider spotted a single anomalous line in the routing logs of Codex, OpenAI&#8217;s coding agent: a mapping entry pointing to a model called <code>gpt-5.6<\/code>. It was reproducible for only a few minutes before vanishing from later sessions. That&#8217;s the one concrete, reproducible data point. It confirms the <em>name<\/em> exists inside OpenAI&#8217;s infrastructure. It confirms nothing about capabilities.<\/p>\n<h3>The 1.5M context claim<\/h3>\n<p>Multiple developers report probing an unreleased model through Codex via ChatGPT Pro OAuth and observing behavior consistent with a ~1.5 million-token context window \u2014 up from the ~1M that GPT-5.5 shipped with. If accurate, that&#8217;s about a 50% jump, and it would matter most for coding agents that burn context reading repos, running tests, and comparing diffs. But &#8220;behavior consistent with&#8221; is a probe result, not a documented limit. Treat 1.5M as a strong rumor, not a number you can quote to your CFO.<\/p>\n<h3>Variants and voice<\/h3>\n<p>Reporting and leaked screenshots point to a <em>family<\/em>, not a single model: a standard GPT-5.6, a GPT-5.6 Pro, and likely a Mini, with a Codex-specific build and possibly a chat-latest alias. TestingCatalog reported on June 18 that early Pro builds had surfaced for some subscribers, alongside a &#8220;draggable voice bubble&#8221; hinting at a voice-mode refresh (separately rumored to involve a new bidirectional audio model). Efficiency leaks suggest a further 10\u201315% drop in tokens per task on top of GPT-5.5&#8217;s gains \u2014 plausible given OpenAI&#8217;s trajectory, but unverified.<\/p>\n<h3>The &#8220;meaningful improvement&#8221; quote<\/h3>\n<p>The most-cited signal is chief scientist Jakub Pachocki reportedly telling staff \u2014 in an internal Slack message surfaced by The Information \u2014 that GPT-5.6 is a &#8220;meaningful improvement&#8221; over GPT-5.5. It&#8217;s a real journalistic report, not a public OpenAI statement \u2014 and &#8220;meaningful improvement&#8221; is exactly the kind of phrase that means everything and nothing until benchmarks land.<\/p>\n<table class=\"convly-vs\">\n<thead>\n<tr>\n<th>Claim<\/th>\n<th>Status<\/th>\n<th>Source quality<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Model named &#8220;gpt-5.6&#8221; exists internally<\/td>\n<td>Likely true<\/td>\n<td>Codex log identifier (reproducible)<\/td>\n<\/tr>\n<tr>\n<td>Release in late June 2026<\/td>\n<td>Probable, unconfirmed<\/td>\n<td>Reporting + prediction markets (~80\u201389%)<\/td>\n<\/tr>\n<tr>\n<td>~1.5M-token context window<\/td>\n<td>Rumored<\/td>\n<td>Developer probes via Codex OAuth<\/td>\n<\/tr>\n<tr>\n<td>Standard + Mini + Pro variants<\/td>\n<td>Rumored<\/td>\n<td>Reporting + leaked screenshots<\/td>\n<\/tr>\n<tr>\n<td>10\u201315% lower token-per-task cost<\/td>\n<td>Rumored<\/td>\n<td>Community testing<\/td>\n<\/tr>\n<tr>\n<td>Official pricing \/ benchmarks<\/td>\n<td>Does not exist<\/td>\n<td>\u2014<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2><span class=\"ez-toc-section\" id=\"How_the_rumored_GPT-56_would_stack_up\"><\/span>How the rumored GPT-5.6 would stack up<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The awkward truth for OpenAI: even if every leak is right, GPT-5.6 lands into a field that didn&#8217;t wait. The headline numbers below are published by the <em>competitors<\/em> \u2014 and several are vendor-reported rather than independently audited, which is exactly why a hypothetical GPT-5.6 has a high bar to clear. (For the prior generation&#8217;s three-way fight, see our <a href=\"\/fr\/gpt5-vs-claude4-vs-gemini3\/\">GPT-5 vs Claude 4 vs Gemini 3 comparison<\/a>.)<\/p>\n<table class=\"convly-vs\">\n<thead>\n<tr>\n<th>Mod\u00e8le<\/th>\n<th>Status (Jun 2026)<\/th>\n<th>Contexte<\/th>\n<th>SWE-bench Pro<\/th>\n<th>API price (in \/ out per 1M)<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>GPT-5.5 (current OpenAI flagship)<\/td>\n<td>Shipped Apr 23<\/td>\n<td>~1M<\/td>\n<td>Not officially published*<\/td>\n<td>Usage-based<\/td>\n<\/tr>\n<tr>\n<td>GPT-5.6<\/td>\n<td><strong>Rumored<\/strong><\/td>\n<td>~1.5M (leaked)<\/td>\n<td>Unknown<\/td>\n<td>Unknown<\/td>\n<\/tr>\n<tr>\n<td>Claude Fable 5<\/td>\n<td>Shipped Jun 9<\/td>\n<td>~1M<\/td>\n<td>80.3% (Anthropic-reported\u2020)<\/td>\n<td>$10 \/ $50<\/td>\n<\/tr>\n<tr>\n<td>Claude Opus 4.8<\/td>\n<td>Shipped May 28<\/td>\n<td>~1M<\/td>\n<td>69.2% (Anthropic-reported\u2020)<\/td>\n<td>$5 \/ $25<\/td>\n<\/tr>\n<tr>\n<td>Gemini 3.5 Flash<\/td>\n<td>Shipped May 19<\/td>\n<td>1M<\/td>\n<td>55.1%<\/td>\n<td>$1.50 \/ $9<\/td>\n<\/tr>\n<tr>\n<td>Gemini 3.5 Pro<\/td>\n<td>Limited preview (not yet GA)<\/td>\n<td>~2M (expected)<\/td>\n<td>Unknown<\/td>\n<td>Unknown<\/td>\n<\/tr>\n<tr>\n<td>GLM-5.2 (open weights)<\/td>\n<td>Shipped ~Jun 13<\/td>\n<td>1M<\/td>\n<td>Vendor-silent**<\/td>\n<td>Open \/ self-host<\/td>\n<\/tr>\n<tr>\n<td>Kimi K2.7 Code (open weights)<\/td>\n<td>Shipped ~Jun 12<\/td>\n<td>256K<\/td>\n<td>Vendor-silent**<\/td>\n<td>Open \/ self-host<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><em>*OpenAI publishes Terminal-Bench and FrontierMath figures rather than a SWE-bench Pro number for 5.5. \u2020Anthropic&#8217;s SWE-bench Pro scores are first-party numbers run on its own scaffolding; independent evaluators have reported a tighter picture, so treat them as vendor-reported pending neutral replication. **Z.ai and Moonshot released without head-to-head SWE-bench Pro scores; third-party suites are still measuring.<\/em><\/p>\n<p>Two things jump out. First, <strong>context size is no longer a moat.<\/strong> A leaked 1.5M window would edge the 1M club, but Gemini 3.5 Pro is expected at 2M, so GPT-5.6 wouldn&#8217;t own that crown. Second, <strong>the agentic-coding benchmark everyone&#8217;s chasing is Claude&#8217;s<\/strong> \u2014 with an asterisk. Fable 5&#8217;s 80.3% on SWE-bench Pro is the headline high-water mark, but it&#8217;s Anthropic&#8217;s own first-party figure, produced on Anthropic&#8217;s scaffolding rather than a neutral harness, and independent evaluators have reported a less commanding lead. So if GPT-5.6 can&#8217;t clear it, &#8220;meaningful improvement&#8221; will read as marketing \u2014 but the bar itself is still settling. Anthropic also priced aggressively for the launch window \u2014 Fable 5 was bundled free on Pro, Max, Team, and Enterprise plans through June 22 \u2014 which sets a competitive tone right as GPT-5.6 is rumored to arrive. Our <a href=\"\/fr\/claude-5-new-ai-models-june-2026\/\">rundown of the new Claude models<\/a> goes deeper on that lineup.<\/p>\n<h3>The China factor<\/h3>\n<p>The week of June 12 delivered two open-weight coding models that change the cost math. GLM-5.2 from Z.ai (Zhipu) runs 744B parameters with ~40B active and a 1M-token context, shipped under an MIT license; Kimi K2.7 Code from Moonshot is a 1T-parameter model with 32B active and a 256K window. Both ship open weights, both target developers who want frontier-class code generation without GPT or Claude API bills. Neither published a clean SWE-bench Pro number, so their true standing is unsettled \u2014 but the <em>pricing<\/em> pressure is immediate and real. If you&#8217;re weighing the gap between closed US flagships and open Chinese models, our <a href=\"\/fr\/deepseek-vs-chatgpt-2026\/\">DeepSeek vs ChatGPT breakdown<\/a> maps the broader dynamic.<\/p>\n<div class=\"convly-procons\">\n<div class=\"pros\">\n<h4>If the leaks hold, GPT-5.6 looks strong on<\/h4>\n<ul>\n<li>Long-context coding agents (1.5M window, if real)<\/li>\n<li>Lower cost per task \u2014 a rumored 10\u201315% token cut<\/li>\n<li>A full Mini\/standard\/Pro lineup for routing by job<\/li>\n<li>OpenAI&#8217;s ecosystem reach (ChatGPT, Codex, API)<\/li>\n<\/ul>\n<\/div>\n<div class=\"cons\">\n<h4>Reasons to stay skeptical<\/h4>\n<ul>\n<li>Zero official specs, benchmarks, or pricing exist yet<\/li>\n<li>Context lead is narrow \u2014 Gemini 3.5 Pro targets 2M<\/li>\n<li>Claude Fable 5 set a high (if vendor-reported) agentic-coding bar<\/li>\n<li>Open models (GLM-5.2, Kimi K2.7) undercut on cost<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<h2><span class=\"ez-toc-section\" id=\"What_to_do_right_now\"><\/span>What to do right now<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>If you build on OpenAI: keep production on GPT-5.5, which is documented and stable. Don&#8217;t architect around a 1.5M context window that isn&#8217;t in any official limit. If you&#8217;re evaluating coding assistants this quarter, benchmark against what ships today \u2014 Fable 5, Opus 4.8, GPT-5.5, and the open models \u2014 rather than waiting on a rumor. Our guide to the <a href=\"\/fr\/best-ai-coding-assistants\/\">best AI coding assistants<\/a> compares the shipping options head-to-head.<\/p>\n<p>When GPT-5.6 does land, the first things worth checking are the system card (context limit, knowledge cutoff, safety policy), the real SWE-bench Pro \/ Terminal-Bench numbers, and the API price per million tokens. Those three settle the hype in an afternoon.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"FAQ\"><\/span>FAQ<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3>Is GPT-5.6 released yet?<\/h3>\n<p>No. As of June 19, 2026, OpenAI has not officially released or announced GPT-5.6. There is no model card, system card, API listing, benchmark, or pricing page. The current shipping flagship is GPT-5.5, released April 23, 2026.<\/p>\n<h3>When is GPT-5.6 expected to come out?<\/h3>\n<p>Reporting and prediction markets point to late June 2026. Polymarket priced roughly an 83% chance of a release in the June 22\u201328 window (on nearly $1M in volume as of June 15), and broader &#8220;by June 30&#8221; framings across Polymarket and Manifold run about 80\u201389%. OpenAI has not confirmed any date, so this is a market expectation, not a company commitment.<\/p>\n<h3>Does GPT-5.6 really have a 1.5 million-token context window?<\/h3>\n<p>That&#8217;s a leak, not a confirmed spec. Developers probing an unreleased model through Codex&#8217;s OAuth reported behavior consistent with ~1.5M tokens, up from GPT-5.5&#8217;s ~1M. Until OpenAI publishes an official limit, treat 1.5M as a strong rumor rather than a documented number.<\/p>\n<h3>What did OpenAI&#8217;s chief scientist say about GPT-5.6?<\/h3>\n<p>Per a report in The Information, chief scientist Jakub Pachocki told staff in an internal message that GPT-5.6 is a &#8220;meaningful improvement&#8221; over GPT-5.5. It was an internal remark surfaced by journalists, not a public OpenAI statement, and it came with no benchmarks attached.<\/p>\n<h3>How does GPT-5.6 compare to Claude Fable 5?<\/h3>\n<p>You can&#8217;t compare them on real numbers yet, because GPT-5.6 has no published benchmarks. Claude Fable 5, released June 9, reports 80.3% on SWE-bench Pro (an Anthropic first-party figure, run on its own scaffolding and not yet matched by independent harnesses) with a ~1M-token context at $10\/$50 per million tokens. That&#8217;s the public bar GPT-5.6 would be measured against on agentic coding.<\/p>\n<h3>Will there be GPT-5.6 Mini and Pro versions?<\/h3>\n<p>Reporting and leaked screenshots suggest a family \u2014 a standard model, a Pro, and likely a Mini, possibly with a Codex-specific build. None of this is confirmed by OpenAI, and the exact lineup at launch (and which variants arrive first) remains unverified.<\/p>\n<h3>Should I wait for GPT-5.6 before building?<\/h3>\n<p>For production work, no \u2014 build on documented models like GPT-5.5 today and migrate once GPT-5.6 ships with a real system card and pricing. Designing around unconfirmed specs is the fastest way to ship a regression when the rumors turn out to be wrong.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Bottom_line\"><\/span>R\u00e9sultat<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>GPT-5.6 is the most-anticipated model that doesn&#8217;t officially exist. The name is real \u2014 it leaked from OpenAI&#8217;s own Codex logs \u2014 and a late-June arrival looks probable. But &#8220;probable&#8221; is doing a lot of work: there are no official benchmarks, no pricing, and no system card, which means every spec you&#8217;ve seen, including the 1.5M context window, is a rumor wearing a confident face. The competitive picture is the clearest part of the story: Claude Fable 5 set a high (if self-reported) agentic-coding bar, Gemini 3.5 Pro is chasing a 2M context, and open models from China are hammering on cost. GPT-5.6 will have to be genuinely better, not just newer. We&#8217;ll update this article with verified numbers the moment OpenAI ships it.<\/p>\n<p><!--related-block--><\/p>\n<div class=\"convly-related\">\n<h2><span class=\"ez-toc-section\" id=\"Related_articles\"><\/span>Articles connexes<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li><a href=\"https:\/\/convly.ai\/fr\/kimi-k2-7-code-explained-2026\/\">Explication du code Kimi K2.7 : le mod\u00e8le de codage ouvert 1T de Moonshot<\/a><\/li>\n<li><a href=\"https:\/\/convly.ai\/fr\/glm-5-2-explained-2026\/\">GLM 5.2 expliqu\u00e9 : le codeur Open 1M-Context de Zhipu<\/a><\/li>\n<li><a href=\"https:\/\/convly.ai\/fr\/ollama-vs-jan-2026\/\">Ollama contre Jan : quelle application locale d'IA l'emportera en 2026 ?<\/a><\/li>\n<li><a href=\"https:\/\/convly.ai\/fr\/lm-studio-complete-guide-2026\/\">LM Studio : Le guide complet (2026)<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>As of June 19, 2026, GPT-5.6 has no model card, benchmarks, or pricing from OpenAI. We separate the confirmed record from the loud leaks (1.5M context, Mini\/Pro variants, a &#8216;meaningful improvement&#8217; quote) and show how a hypothetical GPT-5.6 would land against Claude Fable 5, Gemini 3.5, and the open-weight wave from China.<\/p>","protected":false},"author":1,"featured_media":1182,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"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":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[3],"tags":[774,375,703,773,705,750,426],"class_list":["post-1177","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-llms","tag-ai-models","tag-chatgpt","tag-claude-fable-5","tag-gemini-3-5","tag-gpt-5-6","tag-llms","tag-openai"],"_links":{"self":[{"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/posts\/1177","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/comments?post=1177"}],"version-history":[{"count":1,"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/posts\/1177\/revisions"}],"predecessor-version":[{"id":1187,"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/posts\/1177\/revisions\/1187"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/media\/1182"}],"wp:attachment":[{"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/media?parent=1177"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/categories?post=1177"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/tags?post=1177"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}