{"slug": "anthropic-unveils-claude-fable-5-2-mythos-5-2-with-coding-gains-and-lower-prices", "title": "Anthropic unveils Claude Fable 5.2, Mythos 5.2 with coding gains and lower prices", "summary": "Anthropic released Claude Fable 5.2 and Mythos 5.2, cutting API prices 20% to $8 per million input tokens and $40 per million output tokens from $10 and $50 while claiming output up to 30% faster than the prior versions. Fable 5.2 scored 49.1% on the FrontierCode 2.0 benchmark at its Xhigh effort setting versus 32.4% for Fable 5.1, and Mythos 5.2 identified 89.6% of vulnerabilities in Anthropic's internal CVE Rediscovery evaluation against 78.3% for Mythos 5.1, tested on 1,829 previously disclosed vulnerabilities. Anthropic restricts direct Mythos access to vetted cybersecurity and life sciences organizations, while Claude Enterprise customers can use its vulnerability detection through Claude Secur, and Omdia chief analyst Lian Jye Su said \"reliability remains an issue without human supervision.", "body_md": "Anthropic has introduced Claude Fable 5.2 and Mythos 5.2, claiming significant improvements in handling complex software engineering tasks while cutting API prices by 20% compared with the previous versions.\n\nFable 5.2 and Mythos 5.2 share the same underlying model but have different safeguards. Fable is broadly available, while direct access to Mythos is restricted to vetted cybersecurity and life sciences organizations to limit potential misuse.\n\nThe models are both priced at $8 per million input tokens and $40 per million output tokens, down from $10 and $50, respectively. Anthropic said the newer versions can generate output up to 30% faster than their predecessors.\n\nThe company reported substantial gains in coding performance. Fable 5.2 scored 49.1% on the FrontierCode 2.0 benchmark at its Xhigh effort setting, compared with 32.4% for Fable 5.1. The benchmark assesses whether maintainers of open-source projects would accept AI-generated changes to their code.\n\nThe models’ improved performance and lower prices could make long-running AI agents viable for software migrations and scientific research, according to [Lian Jye Su](https://omdia.tech.informa.com/authors/lian-jye-su), chief analyst at Omdia. Higher task completion rates could further reduce deployment costs, he said.\n\nAnthropic said Fable 5.2 at its “High effort” setting achieved a coding benchmark score comparable to Opus 5.5 at its highest setting, at roughly half the cost per task. The comparison suggests that Fable could be more economical for some demanding assignments, although the savings would depend on the workload and effort setting.\n\n“Anthropic has cut the price of a token, not the price of a thought,” said [Sanchit Vir Gogia](https://greyhoundresearch.com/svg/), chief analyst at Greyhound Research. He urged CIOs to treat AI processing effort as a [budget consideration](https://www.computerworld.com/article/4210786/ai-inference-is-getting-cheaper-but-your-agents-are-getting-more-expensive.html) and measure costs against successfully completed tasks.\n\nAnthropic also recommends Opus 5.5 for most coding and knowledge work, with Fable and Mythos intended for more demanding assignments.\n\nIn an internal experiment, an Anthropic engineer tasked Fable 5.2 with building a prototype operating system. The model coordinated more than 1,000 subagents over eight days and produced software that could boot on a laptop.\n\nSu said the improvements bring enterprises closer to highly autonomous software development, although widespread deployment will depend on addressing persistent operational limitations.\n\n“Reliability remains an issue without human supervision,” Su said.\n\nCoordinating multiple AI agents across enterprise tools and internal teams also remains difficult, he added. Organizations will need to monitor agent activity and run these systems in appropriately isolated environments. Critical changes should remain subject to [human approval](https://www.computerworld.com/article/4205062/ai-agents-get-better-at-it-ops-but-only-with-humans-in-the-loop.html), with sufficient visibility into agent behavior to support audits.\n\n[Pareekh Jain](https://pareekh.com/), CEO of Pareekh Consulting, said complex legacy systems and the need to meet business requirements could limit how much software development enterprises can delegate to AI agents.\n\nAnthropic said Mythos 5.2 identified 89.6% of vulnerabilities in its internal CVE Rediscovery evaluation, compared with 78.3% for Mythos 5.1.\n\nConducted against 1,829 previously disclosed vulnerabilities, the test assessed whether models could independently rediscover flaws in software snapshots taken before the vulnerabilities were fixed. The company said Mythos 5.2 was also better at reproducing vulnerabilities and developing fixes.\n\nAnthropic has restricted direct access to Mythos 5.2 through its verification programs. However, Claude Enterprise customers can use the model’s vulnerability detection capabilities through Claude Security without joining those programs, the company said.\n\nAccording to Su, “Mythos 5.2 shifts the balance towards defenders in controlled enterprise settings.”\n\nJain, however, cautioned that [advances in AI-powered vulnerability](https://www.csoonline.com/article/4210735/ai-can-find-zero-days-but-still-cant-reliably-write-secure-code.html) discovery could also help attackers identify software weaknesses more quickly. “This creates an AI-powered race between attackers and defenders,” he said.\n\nAnthropic said customers eligible for zero data retention can continue using Fable 5.2 and Mythos 5.2 under those arrangements, while other customers face 30-day retention for safety monitoring.\n\nThe company has also introduced Enterprise Frontier Safeguards, currently in private beta, which allows automated safety monitoring to run on prompts and responses stored within customers’ infrastructure.\n\nGogia said data retention requirements could outweigh the benefits of lower API prices for regulated enterprises. He urged procurement teams to obtain written confirmation of zero-retention arrangements before deploying the models for sensitive workloads.\n\n*The article originally appeared on [InfoWorld](https://www.infoworld.com/article/4246681/anthropic-unveils-claude-fable-5-2-mythos-5-2-with-coding-gains-and-lower-prices.html).*", "url": "https://wpnews.pro/news/anthropic-unveils-claude-fable-5-2-mythos-5-2-with-coding-gains-and-lower-prices", "canonical_source": "https://www.computerworld.com/article/4246693/anthropic-unveils-claude-fable-5-2-mythos-5-2-with-coding-gains-and-lower-prices-2.html", "published_at": "2026-11-10 09:35:38+00:00", "updated_at": "2026-11-10 09:51:19.518097+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-agents", "ai-safety", "ai-products"], "entities": ["Anthropic", "Claude Fable 5.2", "Mythos 5.2", "Fable 5.1", "Mythos 5.1", "Opus 5.5", "Lian Jye Su", "Omdia"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/anthropic-unveils-claude-fable-5-2-mythos-5-2-with-coding-gains-and-lower-prices", "markdown": "https://wpnews.pro/news/anthropic-unveils-claude-fable-5-2-mythos-5-2-with-coding-gains-and-lower-prices.md", "text": "https://wpnews.pro/news/anthropic-unveils-claude-fable-5-2-mythos-5-2-with-coding-gains-and-lower-prices.txt", "jsonld": "https://wpnews.pro/news/anthropic-unveils-claude-fable-5-2-mythos-5-2-with-coding-gains-and-lower-prices.jsonld"}}