{"id":933,"date":"2026-06-10T04:48:29","date_gmt":"2026-06-10T04:48:29","guid":{"rendered":"https:\/\/convly.ai\/claude-5-new-ai-models-june-2026\/"},"modified":"2026-06-15T18:18:07","modified_gmt":"2026-06-15T18:18:07","slug":"claude-5-new-ai-models-june-2026","status":"publish","type":"post","link":"https:\/\/convly.ai\/ar\/claude-5-new-ai-models-june-2026\/","title":{"rendered":"Is There a Claude 5? Claude Fable 5 and Every Major AI Model of June 2026"},"content":{"rendered":"<p>If you searched for &#8220;<strong>Claude 5<\/strong>,&#8221; here is the honest answer: <strong>Anthropic never shipped a model called Claude 5.<\/strong> What it shipped \u2014 on <strong>June 9, 2026<\/strong> \u2014 is <strong>Claude Fable 5<\/strong>, the first generally available model in a brand-new tier the company calls <strong>Mythos-class<\/strong>, sitting <em>above<\/em> Opus. And it didn&#8217;t arrive alone: June 2026 has been the busiest model month of the year, with new releases and credible leaks from OpenAI, Google, Nvidia, and Alibaba landing within weeks of each other. Here&#8217;s the complete, accurate picture.<\/p>\n<div class=\"convly-tldr\">\n<h3>\u0627\u0644\u0648\u062c\u0628\u0627\u062a \u0627\u0644\u0631\u0626\u064a\u0633\u064a\u0629<\/h3>\n<ul>\n<li><strong>There is no &#8220;Claude 5.&#8221;<\/strong> The model people mean is <strong>Claude Fable 5<\/strong> (June 9, 2026) \u2014 Anthropic&#8217;s first <strong>Mythos-class<\/strong> model, a new tier above Opus.<\/li>\n<li><strong>Fable 5<\/strong> hits <strong>95.0% on SWE-Bench Verified<\/strong> and 80% on SWE-Bench Pro, with a 1M context window \u2014 at a premium <strong>$10\/$50 per million tokens<\/strong> (~2\u00d7 Opus 4.8).<\/li>\n<li><strong>\u0643\u0644\u0648\u062f \u0623\u0648\u0628\u0648\u0633 4.8<\/strong> (May 28) is the new <em>standard<\/em> flagship and topped the Intelligence Index \u2014 and it&#8217;s what most people should actually use.<\/li>\n<li><strong>GPT-5.6<\/strong> is still a <strong>rumor<\/strong> (no official OpenAI announcement); <strong>Gemini 3.5 Pro<\/strong> is announced but <strong>not yet shipped<\/strong> (expected late June).<\/li>\n<li><strong>Open models<\/strong> also landed: Nvidia Nemotron 3 Ultra, Google Gemma 4, and Alibaba Qwen 3.7 \u2014 the ones you can actually run yourself.<\/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-6a32682285bca\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">\u062a\u0628\u062f\u064a\u0644<\/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-6a32682285bca\"  aria-label=\"\u062a\u0628\u062f\u064a\u0644\" \/><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\/ar\/claude-5-new-ai-models-june-2026\/#Is_there_a_Claude_5_The_naming_explained\" >Is there a Claude 5? The naming, explained<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/convly.ai\/ar\/claude-5-new-ai-models-june-2026\/#Claude_Fable_5_the_Mythos-class_flagship\" >Claude Fable 5: the Mythos-class flagship<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/convly.ai\/ar\/claude-5-new-ai-models-june-2026\/#Claude_Opus_48_the_flagship_most_people_should_use\" >Claude Opus 4.8: the flagship most people should use<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/convly.ai\/ar\/claude-5-new-ai-models-june-2026\/#The_rest_of_June_2026s_model_flood\" >The rest of June 2026&#8217;s model flood<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/convly.ai\/ar\/claude-5-new-ai-models-june-2026\/#How_Junes_frontier_models_compare\" >How June&#8217;s frontier models compare<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/convly.ai\/ar\/claude-5-new-ai-models-june-2026\/#Which_one_should_you_actually_use\" >Which one should you actually use?<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/convly.ai\/ar\/claude-5-new-ai-models-june-2026\/#FAQ\" >\u0627\u0644\u0623\u0633\u0626\u0644\u0629 \u0627\u0644\u0634\u0627\u0626\u0639\u0629<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/convly.ai\/ar\/claude-5-new-ai-models-june-2026\/#Bottom_line\" >\u062e\u0644\u0627\u0635\u0629 \u0627\u0644\u0642\u0648\u0644<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/convly.ai\/ar\/claude-5-new-ai-models-june-2026\/#Related_articles\" >\u0645\u0642\u0627\u0644\u0627\u062a \u0630\u0627\u062a \u0635\u0644\u0629<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Is_there_a_Claude_5_The_naming_explained\"><\/span>Is there a Claude 5? The naming, explained<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Anthropic does not use simple version numbers for its top models. Its lineup is named by <strong>capability tier<\/strong>, and as of June 2026 it runs:<\/p>\n<ul>\n<li><strong>Haiku<\/strong> \u2014 fastest and cheapest<\/li>\n<li><strong>Sonnet<\/strong> \u2014 the balanced workhorse<\/li>\n<li><strong>Opus<\/strong> \u2014 the high-capability mainstream flagship<\/li>\n<li><strong>Fable \/ Mythos<\/strong> \u2014 a <strong>new top tier above Opus<\/strong>, introduced in June 2026<\/li>\n<\/ul>\n<p>So &#8220;Claude 5&#8221; is shorthand people reach for when they hear about a big new Claude. The actual release is <strong>Claude Fable 5<\/strong>, and its restricted sibling <strong>Claude Mythos 5<\/strong>. Think of &#8220;Fable 5&#8221; as the answer to the question you were really asking \u2014 and &#8220;Mythos-class&#8221; as the marketing name for the rung above Opus.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Claude_Fable_5_the_Mythos-class_flagship\"><\/span>Claude Fable 5: the Mythos-class flagship<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<div class=\"convly-specs\">\n<div><strong>\u0627\u0644\u0637\u0631\u0627\u0632<\/strong><span>Claude Fable 5 (Mythos-class)<\/span><\/div>\n<div><strong>\u062a\u0645 \u0627\u0644\u0625\u0635\u062f\u0627\u0631<\/strong><span>June 9, 2026 (generally available)<\/span><\/div>\n<div><strong>\u0646\u0627\u0641\u0630\u0629 \u0627\u0644\u0633\u064a\u0627\u0642<\/strong><span>1M tokens, 128K max output<\/span><\/div>\n<div><strong>\u0627\u0644\u062a\u0631\u0645\u064a\u0632<\/strong><span>SWE-Bench Verified 95.0%; SWE-Bench Pro 80%<\/span><\/div>\n<div><strong>\u0627\u0644\u062a\u0633\u0639\u064a\u0631<\/strong><span>$10 in \/ $50 out per 1M tokens (~2\u00d7 Opus 4.8)<\/span><\/div>\n<div><strong>Restricted sibling<\/strong><span>Mythos 5 (Project Glasswing, approved access only)<\/span><\/div>\n<div><strong>\u0627\u0644\u0623\u0641\u0636\u0644 \u0644\u0640<\/strong><span>The hardest long-horizon agentic and coding work<\/span><\/div>\n<\/div>\n<p>Anthropic frames Fable 5 as its <strong>most powerful generally available model ever<\/strong>, and the pitch is less &#8220;better chatbot&#8221; and more &#8220;<strong>long-horizon agent<\/strong>&#8221; \u2014 a model built to run multi-step, autonomous work for hours rather than answer one question at a time.<\/p>\n<p>The headline benchmarks Anthropic published are genuinely strong. On <strong>SWE-Bench Verified<\/strong>, a real-world software-engineering test, Fable 5 reaches <strong>95.0%<\/strong>. On the harder <strong>\u0633\u0648\u064a-\u0628\u064a\u0646\u0634 \u0628\u0631\u0648<\/strong>, it scores <strong>80%<\/strong>, far ahead of the <strong>58.6%<\/strong> posted by OpenAI&#8217;s GPT-5.5. It also leads on agentic tests like <strong>Terminal-Bench 2.1<\/strong> (84.3% mean reward) and <strong>OSWorld-Verified<\/strong> (85.0%). One honest caveat: these are <strong>Anthropic&#8217;s own published numbers<\/strong>, released alongside the model \u2014 independent labs were still corroborating them at launch, so treat the exact figures as the vendor&#8217;s best case until third parties confirm.<\/p>\n<p>Two practical details matter before you reach for it:<\/p>\n<ul>\n<li><strong>It&#8217;s a premium product.<\/strong> \u0641\u064a <strong>$10 per million input tokens and $50 per million output<\/strong>, Fable 5 costs roughly <strong>twice<\/strong> Claude Opus 4.8. For most work that price is hard to justify.<\/li>\n<li><strong>It has guardrails that route around itself.<\/strong> Fable 5 ships with additional safeguards that send flagged sensitive requests (cybersecurity, biology, chemistry, model-distillation queries) to <strong>Opus 4.8<\/strong> instead \u2014 affecting under 5% of sessions, and you are <em>\u0644\u0627<\/em> charged Fable prices for those. Mythos-class traffic also carries a <strong>30-day data-retention<\/strong> requirement, used only for safety monitoring, not training.<\/li>\n<\/ul>\n<p><strong>Mythos 5<\/strong>, the uncapped sibling, is not generally available \u2014 it ships first through a restricted program (Project Glasswing) with safeguards lifted only for approved, trusted-access use.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Claude_Opus_48_the_flagship_most_people_should_use\"><\/span>Claude Opus 4.8: the flagship most people should use<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Less flashy but more relevant for nearly everyone: <strong>\u0643\u0644\u0648\u062f \u0623\u0648\u0628\u0648\u0633 4.8<\/strong>, released <strong>May 28, 2026<\/strong>, took the <strong>#1 spot on the Intelligence Index<\/strong> at launch. It offers the same <strong>1M-token context window<\/strong> and 128K output as Fable 5, at <strong>half the price<\/strong> ($5 in \/ $25 out per million), and Databricks reported it delivered a &#8220;step change in agentic reasoning&#8221; at <strong>61% cheaper token cost<\/strong> than the previous Opus 4.7.<\/p>\n<p>Crucially, Opus 4.8 is also the model that Fable 5 <em>falls back to<\/em> for sensitive requests \u2014 so for the overwhelming majority of real tasks, <strong>Opus 4.8 is the smart default<\/strong>, and Fable 5 is the specialist you escalate to only when a task genuinely needs the absolute frontier. If you&#8217;re building on Claude, our guide to <a href=\"\/ar\/build-ai-chatbot-claude-api\/\">building an AI chatbot with the Claude API<\/a> walks through the practical setup.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"The_rest_of_June_2026s_model_flood\"><\/span>The rest of June 2026&#8217;s model flood<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Anthropic wasn&#8217;t the only lab shipping. Here&#8217;s what else landed \u2014 and what&#8217;s still just a rumor.<\/p>\n<h3>GPT-5.6 (OpenAI) \u2014 still unconfirmed<\/h3>\n<p>Despite a wave of &#8220;GPT-5.6 benchmarks&#8221; articles, <strong>OpenAI has not officially announced GPT-5.6.<\/strong> What actually exists are leaks: a single routing reference to <code>gpt-5.6<\/code> briefly appeared in OpenAI&#8217;s Codex backend, alongside internal codenames like <em>ember-alpha<\/em> \u0648 <em>iris-alpha<\/em>. The most-repeated rumor is a <strong>1.5-million-token context window<\/strong> (up from ~1.05M on GPT-5.5). Prediction markets gave roughly <strong>80\u201389% odds<\/strong> of a public release by the end of June 2026 \u2014 but until OpenAI says so, every &#8220;confirmed&#8221; GPT-5.6 spec is speculation. The current shipping model remains <strong>GPT-5.5.5<\/strong> (with GPT-5.5 Instant as the ChatGPT default).<\/p>\n<h3>Gemini 3.5 Pro &amp; Flash (Google) \u2014 Flash is here, Pro is &#8220;next month&#8221;<\/h3>\n<p>Google split its release. <strong>Gemini 3.5 Flash launched May 19<\/strong> at I\/O 2026 and is genuinely strong \u2014 it beats last year&#8217;s Gemini 3.1 <em>\u0645\u062d\u062a\u0631\u0641<\/em> on agentic benchmarks like Terminal-Bench 2.1 (76.2%) and MCP Atlas (83.6%), though its pricing roughly tripled versus the old Flash. Google also shipped <strong>Gemini Spark<\/strong>, a 24\/7 autonomous agent.<\/p>\n<p>The big one, <strong>Gemini 3.5 Pro<\/strong>, was announced but <strong>had not shipped as of early June<\/strong> \u2014 Sundar Pichai&#8217;s words on stage were literally &#8220;give us until next month.&#8221; It&#8217;s expected in <strong>late June<\/strong>, with a reported <strong>2-million-token context window<\/strong> (the largest of any frontier model) and a &#8220;Deep Think&#8221; reasoning mode.<\/p>\n<h3>The open models \u2014 the ones you can actually run<\/h3>\n<p>For anyone who runs models on their own hardware, June&#8217;s most useful releases were open-weight:<\/p>\n<ul>\n<li><strong>Nvidia Nemotron 3 Ultra (550B, ~55B active)<\/strong> \u2014 June 4, a large open Mixture-of-Experts model.<\/li>\n<li><strong>Google Gemma 4<\/strong> \u2014 a new open small-model line.<\/li>\n<li><strong>Alibaba Qwen 3.7 (Plus and Max)<\/strong> \u2014 May 20, with Qwen 3.7 Max entering the top tier.<\/li>\n<\/ul>\n<p>These matter because the frontier models above are all <strong>API-only, data-center-scale<\/strong> systems \u2014 you rent them. The open models are what you can download and run locally. If that&#8217;s your interest, start with <a href=\"\/ar\/what-is-ollama-complete-guide-2026\/\">what Ollama is and how to use it<\/a> and our pick of the <a href=\"\/ar\/best-local-llms-to-run-on-ollama-2026\/\">best local LLMs to run on Ollama<\/a>.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"How_Junes_frontier_models_compare\"><\/span>How June&#8217;s frontier models compare<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<table class=\"convly-vs\">\n<thead>\n<tr>\n<th>\u0627\u0644\u0628\u064f\u0639\u062f<\/th>\n<th>Claude Fable 5<\/th>\n<th>\u0643\u0644\u0648\u062f \u0623\u0648\u0628\u0648\u0633 4.8<\/th>\n<th>GPT-5.5.5<\/th>\n<th>Gemini 3.5 Pro<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Status<\/td>\n<td class=\"convly-vs-winner\">Shipped Jun 9<\/td>\n<td class=\"convly-vs-winner\">Shipped May 28<\/td>\n<td class=\"convly-vs-winner\">Shipped<\/td>\n<td>Expected late Jun<\/td>\n<\/tr>\n<tr>\n<td>\u0633\u0648\u064a-\u0628\u064a\u0646\u0634 \u0628\u0631\u0648<\/td>\n<td class=\"convly-vs-winner\">~80%<\/td>\n<td>\u0641\u0631\u0648\u0646\u062a\u064a\u0631<\/td>\n<td>58.6%<\/td>\n<td>TBD<\/td>\n<\/tr>\n<tr>\n<td>\u0646\u0627\u0641\u0630\u0629 \u0627\u0644\u0633\u064a\u0627\u0642<\/td>\n<td>1M<\/td>\n<td>1M<\/td>\n<td>~1.05M<\/td>\n<td class=\"convly-vs-winner\">2M (expected)<\/td>\n<\/tr>\n<tr>\n<td>Price ($\/1M in-out)<\/td>\n<td>$10 \/ $50<\/td>\n<td>$5 \/ $25<\/td>\n<td class=\"convly-vs-winner\">Mid-tier<\/td>\n<td>TBD<\/td>\n<\/tr>\n<tr>\n<td>Run it yourself?<\/td>\n<td>No (API)<\/td>\n<td>No (API)<\/td>\n<td>No (API)<\/td>\n<td>No (API)<\/td>\n<\/tr>\n<tr>\n<td>\u0627\u0644\u0623\u0641\u0636\u0644 \u0644\u0640<\/td>\n<td>Hardest agentic work<\/td>\n<td class=\"convly-vs-winner\">Best all-round default<\/td>\n<td>ChatGPT ecosystem<\/td>\n<td>Huge-context multimodal<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2><span class=\"ez-toc-section\" id=\"Which_one_should_you_actually_use\"><\/span>Which one should you actually use?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>A simple decision path:<\/p>\n<ul>\n<li><strong>For almost everything: Claude Opus 4.8 or GPT-5.5.<\/strong> Both are frontier-class, broadly available, and far cheaper than Fable 5. This is where 95% of real work belongs.<\/li>\n<li><strong>For the hardest long-horizon agentic and coding tasks: Claude Fable 5<\/strong> \u2014 but only when you&#8217;ve confirmed Opus 4.8 isn&#8217;t enough, because you&#8217;ll pay roughly double.<\/li>\n<li><strong>For massive documents or codebases: wait for Gemini 3.5 Pro<\/strong> and its expected 2M-token window, or use what&#8217;s shipping today if you can&#8217;t wait.<\/li>\n<li><strong>For private, offline, or zero-marginal-cost use: an open model<\/strong> (Qwen 3.7, Gemma 4, or a local favorite) on your own GPU. The frontier models above can&#8217;t be self-hosted at all.<\/li>\n<\/ul>\n<p>For a deeper head-to-head on the closed frontier, see our <a href=\"\/ar\/gpt5-vs-claude4-vs-gemini3\/\">GPT-5 vs Claude vs Gemini comparison<\/a>, and for the open-vs-closed cost angle, <a href=\"\/ar\/deepseek-vs-chatgpt-2026\/\">DeepSeek vs ChatGPT<\/a>.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"FAQ\"><\/span>\u0627\u0644\u0623\u0633\u0626\u0644\u0629 \u0627\u0644\u0634\u0627\u0626\u0639\u0629<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3>Is there a Claude 5?<\/h3>\n<p>Not by that name. Anthropic names its top models by tier, not version number. The model people mean when they say &#8220;Claude 5&#8221; is <strong>Claude Fable 5<\/strong>, released June 9, 2026 \u2014 the first generally available model in Anthropic&#8217;s new <strong>Mythos-class<\/strong> tier, which sits above the Opus class.<\/p>\n<h3>What is Claude Fable 5?<\/h3>\n<p>Claude Fable 5 is Anthropic&#8217;s most powerful generally available model, built as a <strong>long-horizon agent<\/strong> rather than a chatbot. It has a 1M-token context window, scores 95.0% on SWE-Bench Verified, and is priced at $10\/$50 per million tokens. Its restricted sibling, Mythos 5, ships only through an approved-access program.<\/p>\n<h3>Claude Fable 5 vs Opus 4.8 \u2014 which is better?<\/h3>\n<p>Fable 5 is more capable on the very hardest agentic and coding tasks, but it costs roughly <strong>twice<\/strong> as much ($10\/$50 vs $5\/$25 per million tokens). Opus 4.8 topped the Intelligence Index at its own launch and handles the vast majority of work excellently \u2014 and Fable 5 even routes some sensitive requests back to Opus 4.8. For most people, <strong>Opus 4.8 is the better default<\/strong>; reach for Fable 5 only when you&#8217;ve confirmed you need the frontier.<\/p>\n<h3>How much does Claude Fable 5 cost?<\/h3>\n<p>API pricing is <strong>$10 per million input tokens and $50 per million output tokens<\/strong> \u2014 about double Claude Opus 4.8. Note that requests its safeguards route to Opus 4.8 (under 5% of sessions) are billed at Opus prices, not Fable prices.<\/p>\n<h3>Is GPT-5.6 out yet?<\/h3>\n<p><strong>No.<\/strong> As of June 2026, OpenAI has made no official announcement of GPT-5.6 \u2014 there&#8217;s no model card, API entry, or published benchmarks. The evidence is limited to a brief routing reference in OpenAI&#8217;s Codex logs and internal codenames. A 1.5M-token context window is rumored but unconfirmed. The current shipping model is <strong>GPT-5.5.5<\/strong>.<\/p>\n<h3>When is Gemini 3.5 Pro coming out?<\/h3>\n<p>Google announced Gemini 3.5 Pro at I\/O 2026 (May 19) with a &#8220;next month&#8221; timeline, pointing to a <strong>late-June 2026<\/strong> release. It&#8217;s expected to feature a 2-million-token context window and a &#8220;Deep Think&#8221; reasoning mode. The smaller <strong>\u0648\u0645\u064a\u0636 \u0627\u0644\u062c\u0648\u0632\u0627\u0621 3.5 \u0641\u0644\u0627\u0634 Gemini 3.5<\/strong> already shipped on May 19.<\/p>\n<h3>Can I run any of these new models locally?<\/h3>\n<p>Not the frontier ones \u2014 Claude Fable 5, Opus 4.8, GPT-5.5, and Gemini 3.5 are all <strong>API-only, data-center-scale<\/strong> models you rent. What you <em>\u064a\u0645\u0643\u0646<\/em> run yourself are June&#8217;s open-weight releases like <strong>Qwen 3.7, Gemma 4, and Nvidia Nemotron 3 Ultra<\/strong>, using a tool like Ollama on your own GPU.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Bottom_line\"><\/span>\u062e\u0644\u0627\u0635\u0629 \u0627\u0644\u0642\u0648\u0644<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>There is no &#8220;Claude 5&#8221; \u2014 but the search interest is real, and the model behind it is worth knowing about. <strong>Claude Fable 5<\/strong> (June 9, 2026) is Anthropic&#8217;s first Mythos-class release, a genuine step up the capability ladder aimed at autonomous, long-horizon work, with frontier coding scores to match and a premium price to go with them.<\/p>\n<p>For nearly everyone, though, the more important June release is <strong>\u0643\u0644\u0648\u062f \u0623\u0648\u0628\u0648\u0633 4.8<\/strong> \u2014 frontier-class, half the price, and the sensible default. Around them, the month brought a shipped <strong>\u0648\u0645\u064a\u0636 \u0627\u0644\u062c\u0648\u0632\u0627\u0621 3.5 \u0641\u0644\u0627\u0634 Gemini 3.5<\/strong>, an imminent <strong>Gemini 3.5 Pro<\/strong>, a still-rumored <strong>GPT-5.6<\/strong>, and a fresh wave of <strong>open models<\/strong> you can actually run yourself. The frontier keeps moving \u2014 but the smartest move is usually the capable, affordable model in the middle of the stack, not the most expensive one at the top.<\/p>\n<p><!--related-block--><\/p>\n<div class=\"convly-related\">\n<h2><span class=\"ez-toc-section\" id=\"Related_articles\"><\/span>\u0645\u0642\u0627\u0644\u0627\u062a \u0630\u0627\u062a \u0635\u0644\u0629<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li><a href=\"https:\/\/convly.ai\/ar\/ollama-vs-jan-2026\/\">Ollama vs Jan: Which Local AI App Wins in 2026?<\/a><\/li>\n<li><a href=\"https:\/\/convly.ai\/ar\/lm-studio-complete-guide-2026\/\">LM Studio: The Complete Guide (2026)<\/a><\/li>\n<li><a href=\"https:\/\/convly.ai\/ar\/llm-hallucinations-complete-guide\/\">\u0647\u0644\u0648\u0633\u0627\u062a LLM \u0641\u064a \u0639\u0627\u0645 2026: \u0644\u0645\u0627\u0630\u0627 \u062a\u062d\u062f\u062b \u0648\u0643\u064a\u0641 \u064a\u0645\u0643\u0646 \u0625\u064a\u0642\u0627\u0641\u0647\u0627<\/a><\/li>\n<li><a href=\"https:\/\/convly.ai\/ar\/prompt-engineering-techniques\/\">\u0627\u0644\u0647\u0646\u062f\u0633\u0629 \u0627\u0644\u0639\u0627\u062c\u0644\u0629 \u0641\u064a \u0639\u0627\u0645 2026: 12 \u062a\u0642\u0646\u064a\u0629 \u0646\u0627\u062c\u062d\u0629 \u0628\u0627\u0644\u0641\u0639\u0644<\/a><\/li>\n<li><a href=\"https:\/\/convly.ai\/ar\/what-is-ollama-complete-guide-2026\/\">What Is Ollama? The Complete Guide to Running LLMs Locally in 2026<\/a><\/li>\n<li><a href=\"https:\/\/convly.ai\/ar\/ollama-vs-lm-studio-vs-vllm-vs-llama-cpp-2026\/\">Ollama vs LM Studio vs vLLM vs llama.cpp: Which Should You Use in 2026?<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Searching for &#8216;Claude 5&#8217;? The model you mean is Claude Fable 5 \u2014 Anthropic&#8217;s first Mythos-class release, shipped June 9. Here&#8217;s what it is, plus every other major model of June 2026.<\/p>","protected":false},"author":1,"featured_media":934,"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":[702,703,706,705,704],"class_list":["post-933","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-llms","tag-claude-5","tag-claude-fable-5","tag-gemini-3-5-pro","tag-gpt-5-6","tag-new-ai-models-2026"],"_links":{"self":[{"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/posts\/933","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/comments?post=933"}],"version-history":[{"count":3,"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/posts\/933\/revisions"}],"predecessor-version":[{"id":1139,"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/posts\/933\/revisions\/1139"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/media\/934"}],"wp:attachment":[{"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/media?parent=933"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/categories?post=933"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/tags?post=933"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}