Anthropic launches Claude Fable 5 and Mythos 5 with 1M context and $10/$50 pricing
Anthropic released Claude Fable 5 for general use and Claude Mythos 5 for vetted partners, with 1M context, $10/$50 token pricing, and Opus fallback on restricted prompts. Mythos-class traffic is retained for 30 days, so teams need to plan for new deployment and compliance constraints.

TL;DR
- Anthropic released the HN launch thread and its official announcement together describe Claude Fable 5 as the new generally available top tier, with Claude Mythos 5 reserved for Project Glasswing and other trusted-access users.
- According to the Anthropic pricing docs, Fable 5 and Mythos 5 cost $10 per million input tokens and $50 per million output tokens, exactly 2x Claude Opus 4.8 pricing, while Simon Willison's initial impressions says the model already feels both slow and expensive in real use.
- In Anthropic's launch post, restricted cybersecurity, biology, chemistry, and distillation prompts sent to Fable 5 can be rerouted to Claude Opus 4.8; the migration guide says those refusals now surface as a
refusalstop reason in the API. - the HN discussion roundup pulled out a policy detail that matters for deployment: prompts and outputs for Mythos-class models are retained for 30 days for trust and safety review, a point also surfaced in the main HN thread.
- Simon Willison's follow-up highlights the strangest line in the system card: Anthropic says some requests about frontier LLM development may get silently degraded with prompt modification, steering vectors, or PEFT, without a visible fallback to another model.
You can check the launch post, the migration guide, and the models overview side by side, and a few details only really snap into focus when you do. The docs pin down the exact model IDs, cloud surfaces, and new refusal stop reason; Simon Willison's hands-on writeup adds the operator view that Fable already feels like a larger, costlier coding model; his system-card note surfaces a second safeguard layer that is not exposed to users at all.
What shipped
Anthropic Launches Claude Fable 5 and Claude Mythos 5
Anthropic has released Claude Fable 5, a Mythos-class model available for general use, and Claude Mythos 5, a version with lifted safeguards for vetted partners. Fable 5 is designed for complex, long-running tasks and includes safety filters for cybersecurity and biology; queries in these sensitive areas are automatically rerouted to the Claude Opus 4.8 model. Mythos 5, which features advanced capabilities in cybersecurity and biology research, is currently restricted to Project Glasswing partners and other authorized users under a trusted access program. Both models are priced at $10 per million input tokens and $50 per million output tokens.
Anthropic is splitting this release into two access tiers. The official announcement says Claude Fable 5 is the broadly available model, while Claude Mythos 5 is the same underlying model with lifted safeguards for vetted cyberdefenders, infrastructure providers, and other trusted-access users.
The models overview fills in the product table:
claude-fable-5is the public API model ID.claude-mythos-5is the limited-access API model ID.- Both models support a 1 million token context window.
- Both models allow up to 128,000 output tokens.
- Both ship with always-on adaptive thinking.
the engineer-focused HN summary captures the practical framing well: this is a new tier above Opus for long-running agentic work, not just another dated Opus point release.
Safety fallback
Claude Fable 5
This launch is mainly relevant if you build with frontier LLMs, code agents, or enterprise AI. The key engineering signals are: a new higher-end model tier with explicit benchmark gains, automatic safety fallback from Fable to Opus on restricted prompts, and a stricter 30-day retention regime for Mythos-class traffic. Commenters are already testing it in Claude Code and surfacing both stronger performance and operational friction from safety heuristics.
Anthropic's main safety mechanism for Fable 5 is explicit rerouting. In the launch post, the company says some cybersecurity, biology, chemistry, and distillation requests are answered by Claude Opus 4.8 instead, and that these fallbacks trigger in under 5% of sessions on average.
The migration guide turns that into an API behavior change. Refusals now return HTTP 200 with stop_reason: "refusal", plus a stop_details.category field for categories including cyber, bio, and reasoning extraction.
That creates two different meanings for "same model output" in production. Sometimes the request really ran on Fable 5, and sometimes, per Anthropic's announcement, it was transparently handed to Opus 4.8 instead.
API surface
Initial impressions of Claude Fable 5
I didn't have early access to today's Claude Fable 5 release, but I've spent the past ~5.5 hours putting it through its paces. My initial impressions are that this is something of a beast. It's slow, expensive and has been quite happily churning through everything I've thrown at it so far. As is frequently the case with current frontier models the challenge is finding tasks that it can't do. First, let's review the key characteristics. Anthropic claim that Claude Fable 5 offers the same performance as Claude Mythos 5, except with much more strict guardrails in place to prevent it being used for harmful things. Those guardrails trigger often enough that the Claude API has new mechanisms for letting you know when you hit them, and even has a new option to request it falls back to another model automatically if something gets rejected. Claude Mythos 5 is out today as well, Anthropic say it "Shares Claude Fable 5's capabilities without the safety classifiers". The models have a 1 million token context window, 128,000 maximum output tokens and a knowledge cut-off date of January 2026. They are priced at twice the price of Claude Opus 4.5/4.6/4.7/4.8: $10/million input tokens and $50/million output tokens. There's no increase in price for longer context usage. Other than that the upgrade guide is substantially thinner than the similar guide for Opus 4.8. The big model smell The best way to describe Fable is that it feels big. Not just in terms of speed and cost, but also in how muc
The migration guide says Fable 5 is mostly a drop-in move from Opus 4.8. The Messages API stays the same, tool use patterns stay the same, and tokenization is unchanged from Opus 4.8.
The notable changes are compact enough to list:
- Adaptive thinking is always on.
- Manual extended thinking budgets are gone, replaced by an
effortparameter. - Raw chain-of-thought is not returned.
- Thinking can be exposed only as summarized output.
- The default context window stays at 1M tokens.
- Max output stays at 128K tokens.
Simon Willison's initial impressions adds the early usage report: the model feels "like a beast," but also slow and expensive enough that cost is part of the experience, not a footnote.
Retention and access
Discussion around Claude Fable 5
Thread discussion highlights: - irthomasthomas on benchmark results: Anthropic has again changed the set of benchmarks they use... they have also moved all benchmark scores to the PDF... it looks like it gains about ~5-10% over other models. - meetpateltech on data retention: Prompts submitted to, and outputs generated by, Mythos-class models are retained for 30 days for trust and safety purposes. - victor106 on enterprise privacy implications: Very interesting. I am not sure this will comply with organizational policies and standards protocols (HIPPA etc.,)
The access split carries a data-handling split too. The HN discussion roundup surfaced Anthropic's note that prompts and outputs for Mythos-class models are retained for 30 days for trust and safety purposes, and the models overview makes clear that Mythos 5 is still limited-access rather than generally available.
That means the release is not just a capability story. Fable 5 is the broadly shippable option, while Mythos 5 comes bundled with a narrower access path and a retention policy that HN commenters immediately flagged as an enterprise constraint.
The models overview also spells out where Fable 5 shows up on day one: Claude API, Claude Platform on AWS, Amazon Bedrock, Vertex AI, and Microsoft Foundry. Mythos 5, by contrast, requires contact with Anthropic, AWS, or Google Cloud account teams for access.
Silent interventions
If Claude Fable stops helping you, you'll never know
If Claude Fable stops helping you, you'll never know Jonathon Ready highlights one of the more eyebrow-raising details from the 319 page system card for Fable 5 and Mythos 5. Here's a longer excerpt, highlights mine: In light of the ability of recent models to accelerate their own development, we’ve implemented new interventions that limit Claude’s effectiveness for requests targeting frontier LLM development (for example, on building pretraining pipelines, distributed training infrastructure, or ML accelerator design). Using Claude to develop competing models already violates our Terms of Service, but enforcing this restriction through our safeguards avoids accelerating the actors most willing to violate these terms. Unlike our interventions for cybersecurity, biology and chemistry, and distillation attempts, these safeguards will not be visible to the user. Fable 5 will not fall back to a different model. Instead, the safeguards will limit effectiveness through methods such as prompt modification, steering vectors, or parameter-efficient fine-tuning (PEFT). These interventions will not affect the vast majority of coding work. We estimate they will impact ~0.03% of traffic, concentrated in fewer than 0.1% of organizations. I believe this is the first time Anthropic have announced these kinds of silent interventions. The justification still feels pretty science-fiction to me - the linked article talks about "recursive self-improvement". I'm not at all keen on a model tha
The system-card detail that cut through fastest came from Simon Willison's follow-up, which quotes Anthropic saying Fable 5 may quietly limit its effectiveness on requests about frontier LLM development, including pretraining pipelines, distributed training infrastructure, and ML accelerator design.
Unlike the visible Fable-to-Opus fallback, this second layer is designed to be invisible. Willison's writeup says Anthropic describes using prompt modification, steering vectors, or PEFT rather than switching models, and estimates the intervention should hit about 0.03% of traffic across fewer than 0.1% of organizations.
That leaves the launch with two distinct safeguard modes. One is disclosed rerouting to Opus 4.8, documented in the announcement and API guide. The other, according to Willison's system-card excerpt, is selective degradation that the user may never notice at all.