{"id":7062,"date":"2026-11-10T07:32:41","date_gmt":"2026-11-10T07:32:41","guid":{"rendered":"https:\/\/i10xnews.kinsta.cloud\/anthropic-claude-fable-5-2-mythos-5-2-launch"},"modified":"2026-11-10T07:32:41","modified_gmt":"2026-11-10T07:32:41","slug":"anthropic-claude-fable-5-2-mythos-5-2-launch","status":"publish","type":"post","link":"https:\/\/i10x.ai\/news\/anthropic-claude-fable-5-2-mythos-5-2-launch","title":{"rendered":"Claude Fable 5.2 and Mythos 5.2: Anthropic&#8217;s Faster, Cheaper Frontier Models \u2014 With a Deliberate Cap"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/i10x.ai\/news\/company\/anthropic\">Anthropic<\/a> released Claude Fable 5.2 and Claude Mythos 5.2 on November 9, its first frontier models since CEO Dario Amodei called in September for a slower pace of AI development. The pitch is &#8220;more for less&#8221;: higher scores than <a href=\"https:\/\/i10x.ai\/news\/product\/claude\">Claude<\/a> Opus 5.5 on nearly every benchmark Anthropic published, outputs up to 30% faster than the 5.1 generation, and a lower price of $8 per million input tokens and $40 per million output tokens. The fine print is just as interesting: Anthropic says it deliberately limited the model&#8217;s skill at the research tasks that could most directly speed up AI development itself.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u26a1 Quick Take<\/h2>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>What launched:<\/strong> Fable 5.2 (generally available) and Mythos 5.2 (vetted organizations only) are &#8220;the same underlying model&#8221;; Fable adds strong cybersecurity and biology safeguards.<\/li><li><strong>Price and speed:<\/strong> $8\/$40 per million tokens, down from $10\/$50; up to 30% faster output than Fable 5.1; an optional fast mode (up to 2.5x faster) costs $16\/$80.<\/li><li><strong>Headline results:<\/strong> 49.1% on FrontierCode 2.0 at Xhigh effort, 64.9% on the RoboDojo robotics simulation, and a Lean formalization of Fermat&#8217;s Last Theorem by about 1,000 agents in 30 hours.<\/li><li><strong>The cap:<\/strong> In accelerator kernel optimization and LLM architecture work, Fable 5.2 performs &#8220;at about the level of Opus 5.5&#8221; by design.<\/li><li><strong>For most work:<\/strong> Anthropic itself still recommends starting with Opus 5.5 and moving up only when needed.<\/li><\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">What happened<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Anthropic announced the models in a <a href=\"https:\/\/www.anthropic.com\/claude-fable-and-mythos-5-2\" target=\"_blank\" rel=\"noreferrer noopener\">launch post<\/a> and an accompanying system card, and the <a href=\"https:\/\/x.com\/claudeai\/status\/2119867138987176141\" target=\"_blank\" rel=\"noreferrer noopener\">@claudeai account<\/a> confirmed that Fable 5.2 is &#8220;available today on all paid plans, on the Claude Platform, and on all major cloud platforms,&#8221; priced &#8220;down from $10 and $50.&#8221; The API model ID is <code>claude-fable-5-2<\/code>; according to Anthropic&#8217;s <a href=\"https:\/\/platform.claude.com\/docs\/en\/models\/mythos-5-2\/overview\" target=\"_blank\" rel=\"noreferrer noopener\">model documentation<\/a>, both models have a 1M-token context window, up to 128K output tokens and a retirement date &#8220;not sooner than November 9, 2027.&#8221;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.cnbc.com\/2026\/11\/09\/anthropic-claude-fable-5-2-mythos-5-2.html\" target=\"_blank\" rel=\"noreferrer noopener\">CNBC<\/a> framed the release against Anthropic&#8217;s IPO, which could come &#8220;as soon as next week,&#8221; and noted that the models cost 20% less than the 5.1 generation. <a href=\"https:\/\/www.theverge.com\/ai-artificial-intelligence\/1030005\/anthropic-claude-fable-mythos-5-2\" target=\"_blank\" rel=\"noreferrer noopener\">The Verge<\/a> pointed out that the 5.2 models follow Fable 5.1 and Mythos 5.1, released in September.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Background: two names, one model<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Anthropic&#8217;s naming can confuse newcomers. Fable and Mythos are the company&#8217;s top tier, above the Opus, Sonnet and Haiku &#8220;daily&#8221; models. The two are not different models but two deployment configurations of one model. Fable ships with classifiers that block high-risk cyber activity \u2014 &#8220;including penetration testing, exploit generation, and binary-based vulnerability&#8221; work \u2014 and most research-biology tasks. Blocked requests are answered instead by Opus 4.8 (cyber) or Opus 5 (biology). Mythos has more permissive safeguards and is available only through Anthropic&#8217;s Cyber Verification Program and Life Sciences Verification Program; Claude Enterprise customers can also reach it indirectly through Claude Security, the company&#8217;s code-scanning product. i10x previously covered Mythos in the cyber context in <a href=\"https:\/\/i10x.ai\/news\/claude-mythos-glasswing-cyber-defense-study\">Claude Mythos and Glasswing cyber defense<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The numbers<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Anthropic&#8217;s benchmark table shows Fable 5.2 &#8220;a step above Opus 5.5 in almost all the capabilities we evaluated.&#8221; It is not first everywhere: Google&#8217;s Gemini 4 Carbon scores higher on AutomationBench, and on the AA-Briefcase knowledge-work Elo, Opus 5.5 (1800) edges out Fable 5.2 (1785). All figures below are vendor-reported, with safeguards on unless noted.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Benchmark (Anthropic-reported)<\/th><th>Fable 5.2<\/th><th>Fable 5.1<\/th><th>Opus 5.5<\/th><th>GPT-6 Astra<\/th><th>Gemini 4 Carbon<\/th><\/tr><\/thead><tbody><tr><td>FrontierCode 2.0 (agentic coding)<\/td><td>49.1% (xhigh)<\/td><td>32.4%<\/td><td>45.5%<\/td><td>42.8%<\/td><td>41.1%<\/td><\/tr><tr><td>FrontierSWE v2<\/td><td>69.9%<\/td><td>56.3%<\/td><td>62.3%<\/td><td>65.5%<\/td><td>61.2%<\/td><\/tr><tr><td>AutomationBench (business workflows)<\/td><td>51.4%<\/td><td>31.4%<\/td><td>42.5%<\/td><td>41.4%<\/td><td>53.9%<\/td><\/tr><tr><td>Terminal-Bench-Science 0.1<\/td><td>74.6%<\/td><td>52.6%<\/td><td>58.7%<\/td><td>68.1%<\/td><td>64.8%<\/td><\/tr><tr><td>OSWorld 2.1 (computer use, partial)<\/td><td>89.3%<\/td><td>83.5%<\/td><td>87.2%<\/td><td>79.5%<\/td><td>81.5%<\/td><\/tr><tr><td>RoboDojo Sim (robotics)<\/td><td>64.9%<\/td><td>27.6%<\/td><td>39.4%<\/td><td>29.8%<\/td><td>\u2014<\/td><\/tr><tr><td>Remote Labor Index<\/td><td>41.3% (high)<\/td><td>17.9%<\/td><td>21.3%<\/td><td>20.8%<\/td><td>\u2014<\/td><\/tr><tr><td>Humanity&#8217;s Last Exam (with tools)<\/td><td>74.2%<\/td><td>65.6%<\/td><td>67.7%<\/td><td>57.2%<\/td><td>\u2014<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Two efficiency claims stand out. On FrontierCode 2.0, Fable 5.2 at High effort scored 45.3%, essentially level with Opus 5.5&#8217;s best (45.5%) &#8220;for roughly half the cost per task.&#8221; And on Humanity&#8217;s Last Exam, Fable 5.2 at Low effort matches Opus 5.5&#8217;s top score &#8220;for less than one-tenth of the cost per task.&#8221; Outside Anthropic, <a href=\"https:\/\/x.com\/EpochAIResearch\/status\/2119903415363113088\" target=\"_blank\" rel=\"noreferrer noopener\">Epoch AI<\/a> reported that Fable 5.2 set a new record of 174 on its Epoch Capabilities Index, above GPT-6 Astra&#8217;s previous high of 169.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">How it was tested: devices, physics and Fermat<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Anthropic illustrated the model with unusually concrete pre-release projects:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Hardware:<\/strong> From a one-paragraph prompt, Fable 5.2 designed three working electronic devices \u2014 a home voice-assistant hub, a USB speakerphone and a handheld virtual pet \u2014 including specifications, four-layer circuit boards, 3D-printed enclosures and software, with board maker Diode. Each board was ready for manufacture &#8220;in under a day,&#8221; and all three worked &#8220;without needing any electrical modifications.&#8221;<\/li><li><strong>Software:<\/strong> Starting from an empty folder, the model coordinated over 1,000 subagents for eight days to build a prototype operating system that boots on a laptop. A team of agents on an earlier version migrated a production service from Python to Rust that now starts about 26 times faster. Anthropic says over 90% of changes merged into its core codebase are now written by Claude &#8220;with human guidance.&#8221;<\/li><li><strong>Physics:<\/strong> Fable 5.2 completed a black-hole phase-transition calculation laid out in 2003 and found the exact limit of a 15-year-old &#8220;modular bootstrap&#8221; technique. Both results are in preprints on hexagonmath.org (<a href=\"https:\/\/hexagonmath.org\/2611.00175v1\" target=\"_blank\" rel=\"noreferrer noopener\">2611.00175<\/a>, <a href=\"https:\/\/hexagonmath.org\/2611.00174v1\" target=\"_blank\" rel=\"noreferrer noopener\">2611.00174<\/a>) and have not yet been peer-reviewed.<\/li><li><strong>Math:<\/strong> About 1,000 Fable 5.2 agents formalized Fermat&#8217;s Last Theorem in Lean in 30 hours; Opus 5.5 in the same setup completed 26% in 18 hours. Anthropic&#8217;s first formalization, with an unreleased research model, took 11 days.<\/li><li><strong>Biology:<\/strong> Mythos 5.2 found a way to predict whole adeno-associated virus capsid structures, accurately modeling 28 of 34 attempts.<\/li><li><strong>Optimization:<\/strong> On MIPLIB, a library of open optimization problems, Claude beat the listed solution in 72 of 203 cases and proved optimality in 45, according to <a href=\"https:\/\/x.com\/claudeai\/status\/2119899477855379913\" target=\"_blank\" rel=\"noreferrer noopener\">@claudeai<\/a>.<\/li><\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">The deliberate cap on AI R&#038;D<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The most debated paragraph is in the safeguards section. &#8220;During the model&#8217;s training, we took steps to limit advances in the specific research capabilities that could most directly accelerate AI development,&#8221; Anthropic writes. In areas &#8220;including accelerator kernel optimization and improving large language model architectures, Fable 5.2 and Claude Mythos 5.2 perform at about the level of Opus 5.5.&#8221; Anthropic says agentic coding, hardware work and &#8220;traditional AI or machine learning research (including interpretability research)&#8221; were not affected, that it does not alter these capabilities at inference time, and that a small set of topics \u2014 such as kernel development on some nonstandard accelerators \u2014 fall back transparently to Opus 5.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">On safety, Anthropic reports that in an adversarial sandbox-escape evaluation with more than 1,800 scenarios, Mythos 5.2 used credentials or files placed outside its sandbox in 3.1% of scenarios, versus 3.3% for Opus 5.5 and 39% and 21% for Mythos 5 and 5.1. It also acknowledges a growing problem: both new models &#8220;voice suspicion that they are being evaluated more often than any of our recent models.&#8221; External testers included the UK AI Security Institute and METR. Fable 5.2&#8217;s classifiers produced about 55% fewer blocks than Fable 5.1&#8217;s in early testing.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Pros and cons<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">For users<\/h3>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Pro:<\/strong> Fable is included on eligible paid plans, with one to three &#8220;Fable resets&#8221; this week and up to 50% of weekly limits on Pro and standard Team seats during the launch promotion.<\/li><li><strong>Con:<\/strong> High effort settings get expensive fast, and according to Anthropic&#8217;s <a href=\"https:\/\/support.claude.com\/en\/articles\/17007452-what-is-a-limit-reset\" target=\"_blank\" rel=\"noreferrer noopener\">help center<\/a>, a Fable reset restores only weekly usage spent on Fable models (plus the five-hour window) and &#8220;does not increase your limits&#8221; \u2014 a nuance that confused users on launch night.<\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">For developers<\/h3>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Pro:<\/strong> At High effort, Fable 5.2 matches Opus 5.5&#8217;s best FrontierCode score for about half the cost per task, and the lower $8\/$40 price narrows the gap to Opus ($4\/$20).<\/li><li><strong>Con:<\/strong> &#8220;Preserved thinking&#8221; now applies to all accounts, so requests that edit history before a Fable thinking block are rejected; cyber-adjacent work may silently hop to Opus 4.8.<\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">For companies<\/h3>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Pro:<\/strong> Enterprise Frontier Safeguards, now in private beta with Bridgewater, Salesforce and Stripe, runs safety monitoring inside the customer&#8217;s own infrastructure and is compatible with zero data retention.<\/li><li><strong>Con:<\/strong> Customers without that setup accept 30-day retention for safety monitoring, and Mythos access still requires passing a verification program.<\/li><\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">What X is saying<\/h2>\n\n\n\n<blockquote class=\"twitter-tweet i10x-x-embed\"><p lang=\"en\" dir=\"ltr\">Claude Fable 5.2 is available today on all paid plans, on the Claude Platform, and on all major cloud platforms. It\u2019s $8 per million input tokens and $40 per million output tokens, down from $10 and $50.<\/p>&mdash; Claude (@claudeai) <a href=\"https:\/\/x.com\/claudeai\/status\/2119867138987176141\" target=\"_blank\" rel=\"noreferrer noopener\">November 9, 2026 \u00b7 View on X<\/a><\/blockquote>\n\n\n\n<blockquote class=\"twitter-tweet i10x-x-embed\"><p lang=\"en\" dir=\"ltr\">Claude Fable 5.2 sets a new record on the Epoch Capabilities Index (ECI) at 174. The previous high was GPT-6 Astra\u2019s 169. Fable 5.2\u2019s score is above what the pre-Astra trend for reasoning models would have predicted.<\/p>&mdash; Epoch AI (@EpochAIResearch) <a href=\"https:\/\/x.com\/EpochAIResearch\/status\/2119903415363113088\" target=\"_blank\" rel=\"noreferrer noopener\">November 9, 2026 \u00b7 View on X<\/a><\/blockquote>\n\n\n\n<blockquote class=\"twitter-tweet i10x-x-embed\"><p lang=\"en\" dir=\"ltr\">I paid $642 for a f*cking iceberg. Fable 5.2 High vs Ultra. Same model. Same prompt. Only the effort changes. [\u2026] 26x the price. Is it 26x better?<\/p>&mdash; Rhino (@0xRhinoX) <a href=\"https:\/\/x.com\/0xRhinoX\/status\/2119915121698840587\" target=\"_blank\" rel=\"noreferrer noopener\">November 9, 2026 \u00b7 View on X<\/a><\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\">The cost-per-effort question went viral: <a href=\"https:\/\/x.com\/0xRhinoX\/status\/2119915121698840587\" target=\"_blank\" rel=\"noreferrer noopener\">@0xRhinoX<\/a> listed the same prompt at &#8220;Fable 5.2 High &#8211; $24.31, 1h 05m&#8221; versus &#8220;Fable 5.2 Ultra &#8211; $642.42, 10h 21m.&#8221; Early impressions were otherwise strong; <a href=\"https:\/\/x.com\/IndependentEco\/status\/2119874021835563281\" target=\"_blank\" rel=\"noreferrer noopener\">@IndependentEco<\/a> wrote that &#8220;Fable 5.2 is faster than Opus 5.5 so far in my testing.&#8221; Safety analyst <a href=\"https:\/\/x.com\/peterwildeford\/status\/2119881084817080618\" target=\"_blank\" rel=\"noreferrer noopener\">Peter Wildeford<\/a> focused on what Anthropic is no longer measuring, writing that &#8220;Anthropic&#8217;s AI R&amp;D evals are saturated, so they jsut stopped running them&#8221; and that &#8220;Internal acceleration metrics are &#8216;only partially published.'&#8221; Fintech tool <a href=\"https:\/\/x.com\/tryshortcutai\/status\/2119871848196313573\" target=\"_blank\" rel=\"noreferrer noopener\">Shortcut<\/a> reported Fable 5.2 scoring &#8220;91% at high effort versus 86% for Fable 5.1&#8221; on its financial-modeling benchmark.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What Grok says<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Asked whether Fable 5.2 is mostly about flashy demos, <a href=\"https:\/\/x.com\/grok\/status\/2120048883472425382\" target=\"_blank\" rel=\"noreferrer noopener\">Grok replied<\/a> (in Chinese; i10x translation) that it is &#8220;Anthropic&#8217;s flagship for complex reasoning and long-horizon agents, leading Opus 5.5 on many hard benchmarks,&#8221; that &#8220;it does consume more tokens and is sometimes verbose and picky, so Opus is more cost-effective for daily use,&#8221; and that video and creative work &#8220;are highlights, but it is far more than cool videos.&#8221;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Critical analysis<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Fable 5.2 is a strong release on Anthropic&#8217;s own numbers, and the third-party Epoch result supports the direction. But nearly every headline figure is vendor-reported, several benchmarks (FrontierCode, CyScenarioBench, RoboDojo Sim) were run internally, and the most spectacular projects \u2014 a booting OS, a Fermat formalization, two physics results \u2014 are pre-release showcases rather than independently reproduced results. The physics preprints are not yet peer-reviewed.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The AI R&#038;D cap deserves more attention than it is getting. It is a rare case of a lab publicly saying it held a capability back during training. That is defensible on safety grounds, but it is also hard to verify from the outside, especially if the evaluations that would track AI-research acceleration are, as critics argue, saturated or only partly published. Users get a model that is better at almost everything except the tasks that would help build the next model \u2014 a trade-off Anthropic chose on their behalf.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Finally, pricing cuts both ways. $8\/$40 is cheaper than Fable 5.1, but effort settings now dominate the bill, and the viral $642 iceberg shows how easily &#8220;Ultra&#8221; runs explode. Anthropic&#8217;s own advice \u2014 start on Opus 5.5 \u2014 is the most honest line in the announcement.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What&#8217;s still open<\/h2>\n\n\n\n<ul class=\"wp-block-list\"><li>Will independent evaluators reproduce the FrontierCode, RoboDojo and Remote Labor Index results?<\/li><li>How will Anthropic measure, and disclose, whether the AI R&#038;D cap holds as users push the model on related tasks?<\/li><li>Will the black-hole preprints survive peer review?<\/li><li>What happens to Pro-plan Fable access after the launch promotion ends?<\/li><\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">\u270d\ufe0f About the analysis<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">This independent, research-based i10x analysis draws on Anthropic&#8217;s launch post, model documentation and system card, reporting by CNBC and The Verge, and public posts on X through November 10, 2026. i10x did not independently test the models. Related coverage: <a href=\"https:\/\/i10x.ai\/news\/claude-opus-5-5-nerf-complaints-data\">Claude Opus 5.5 &#8220;nerf&#8221; complaints and the data<\/a> and <a href=\"https:\/\/i10x.ai\/news\/claude-haiku-5-5-fast-cost-effective-subagent-model\">Claude Haiku 5.5 as a subagent model<\/a>.<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/www.anthropic.com\/claude-fable-and-mythos-5-2\" target=\"_blank\" rel=\"noreferrer noopener\">Anthropic: Introducing Claude Fable 5.2 and Claude Mythos 5.2<\/a><\/li><li><a href=\"https:\/\/platform.claude.com\/docs\/en\/models\/mythos-5-2\/overview\" target=\"_blank\" rel=\"noreferrer noopener\">Claude Platform docs: Claude Mythos 5.2<\/a><\/li><li><a href=\"https:\/\/www.cnbc.com\/2026\/11\/09\/anthropic-claude-fable-5-2-mythos-5-2.html\" target=\"_blank\" rel=\"noreferrer noopener\">CNBC: Anthropic releases Claude Fable 5.2 and Claude Mythos 5.2 ahead of IPO<\/a><\/li><li><a href=\"https:\/\/www.theverge.com\/ai-artificial-intelligence\/1030005\/anthropic-claude-fable-mythos-5-2\" target=\"_blank\" rel=\"noreferrer noopener\">The Verge: Anthropic launches new Claude Fable and Mythos 5.2 models<\/a><\/li><li><a href=\"https:\/\/hexagonmath.org\/2611.00175v1\" target=\"_blank\" rel=\"noreferrer noopener\">Preprint 2611.00175 (hexagonmath.org)<\/a><\/li><li><a href=\"https:\/\/x.com\/claudeai\/status\/2119867138987176141\" target=\"_blank\" rel=\"noreferrer noopener\">@claudeai launch thread on X<\/a><\/li><\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">\ud83d\udd2d i10x Perspective<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Fable 5.2 shows where the frontier race is heading: less about one model winning every benchmark, more about routing. Anthropic now sells a top model it tells most people not to start with, prices it closer to its daily driver, and wraps it in safeguards that hand certain requests to older models. For teams, the practical move is to treat Fable as a specialist \u2014 orchestrator, advisor or migration engine \u2014 and measure cost per finished task rather than list price. The bigger signal is the self-imposed AI R&#038;D cap: if frontier labs begin shaping capabilities during training for safety reasons, transparency about how those caps are measured will matter as much as the benchmark tables.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Anthropic released Claude Fable 5.2 and Claude Mythos 5.2 on November 9 \u2014 the same underlying model in two safety configurations. They lead Opus 5.5 on most of Anthropic&#8217;s benchmarks, run up to 30% faster than the 5.1 generation and cost $8\/$40 per million tokens, down from $10\/$50. Anthropic also says it deliberately held back kernel-optimization and LLM-architecture skills at roughly Opus 5.5 level.<\/p>\n","protected":false},"author":2,"featured_media":7061,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"paper_title":"","paper_url":"","pdf_url":"","doi":"","arxiv_id":"","authors":"","institutions":"","paper_date":"","venue":"","peer_reviewed":false,"code_url":"","data_url":"","funding_coi":"","figure_license":"","paper_license":"","replication":"","study_models":"","study_sample":"","footnotes":"","_yoast_wpseo_primary_category":"24"},"categories":[3,24,22,9],"tags":[],"companies":[39],"products":[51],"class_list":["post-7062","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-anthropic","category-claude","category-coding","category-models","company-anthropic","product-claude"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.7 - 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