Claude Fable 5

Claude Fable 5 and Mythos 5: Anthropic's Most Powerful AI Model

June 11th, 2026
55
05:00 Minutes

Anthropic just changed the game with the launch of Claude Fable 5 on June 9, 2026. It's the most capable AI model ever released to the general public, and the first Mythos-class model that anyone can access. If you've been following the AI space closely, you know what that means. Mythos was the model that Anthropic was too cautious to release publicly. Now, with the right safeguards in place, it's here.

In this complete guide, we cover everything: what Claude Fable 5 is, how it differs from Claude Mythos 5, what it can actually do, who it's for, how much it costs, and where you can use it. If you've been waiting for the most thorough breakdown of this launch, this is it.

What Is Claude Fable 5?

Claude Fable 5 is a Mythos-class AI model built for your most ambitious, long-running work. It sits above the Opus class in Anthropic's model hierarchy and represents the 5th generation of Claude models. It is state-of-the-art across nearly every tested benchmark of AI capability, software engineering, knowledge work, vision, scientific research and more.

The name Fable comes from the Latin fabula, meaning "that which is told,” a deliberate nod to its Greek counterpart, mythos. This naming is, of course, intentional, as Fable 5 and Mythos 5 are two versions of the same underlying model. They are just distinguished by their safeguards. Fable 5 has more restrictions on the cybersecurity domain than Mythos 5.

But don’t worry about the restriction, that is for good reasons. You should consider the best feature of this version. The longer and more complex the task, the larger its lead over every previous Claude model.

Claude Fable 5 vs. Claude Mythos 5: What's the Difference?

As I have just stated, Fable is restricted to some features of Mythos for good reasons. This is also the only difference between the two models. Let me give you a clear distinction between them:

Feature Claude Fable 5 Claude Mythos 5
Underlying model Same Same
Public availability Yes, API & Enterprise No, restricted access
Cybersecurity safeguards Active (conservative) Lifted in select areas
Access via Claude API, claude.ai, AWS, Azure, Vertex AI Project Glasswing only
Pricing $10/M input, $50/M output Same
Best for Developers, enterprises, researchers Trusted cyberdefense orgs

Claude Fable 5 is the version available to you right now. It carries the full Mythos-level capability engine, with safety guardrails that intercept high-risk queries (cybersecurity exploits, dangerous biology, etc.) and fall back to Claude Opus 4.8 in those cases. This happens in less than 5% of sessions on average.

Claude Mythos 5 is the same model but with those safeguards lifted in specific areas. It is deployed through Project Glasswing in collaboration with the US government, primarily for trusted cyberdefenders and critical infrastructure operators. It has the strongest cybersecurity capabilities of any AI model in the world right now.

Claude Fable 5 and Mythos 5 Benchmarks

Claude Fable 5 and Mythos 5 Benchmarks

Related Article: Claude Code Cheat Sheet

Key Capabilities: What Can Claude Fable 5 Actually Do?

Here are some of the main capabilities of Fable 5 you need to know before using it in your real-world tasks:

I. Software Engineering: Days of Work in Hours

This is where Fable 5 is getting the most attention. During early testing, Stripe reported that Fable 5 compressed months of engineering into days. They tried it on a 50-million-line Ruby codebase, the model performed a full codebase-wide migration in a single day. This work might have taken an entire team over two months to do manually.

It is also the highest-scoring model on Cognition's FrontierCode evaluation, which tests whether models can pass difficult coding tasks while meeting the standards of high-quality production codebases, and it achieves this even at medium effort.

In practice: if you run Fable 5 in an agent harness like Claude Code or Claude Managed Agents, it can work for days at a time, planning across stages, delegating to sub-agents, writing its own tests, and checking its work autonomously.

II. Knowledge Work: Senior-Level Reasoning

Fable 5 ranks highest on Hebbia's Finance Benchmark for senior-level analytical reasoning among all tested models. It shows substantial gains in document-based reasoning, chart and table interpretation and complicated problem solving.

IMC noted that it has exceeded their trading-analysis evaluations across factual lookup, conceptual reasoning, root-cause analysis, and expected-value analysis. Using it can be a meaningful upgrade for anyone doing heavy research, analysis, or professional-grade document work.

III. Vision: The New State-of-the-Art

Fable 5 is Anthropic's new state-of-the-art model for vision tasks. It can extract precise numbers from complicated scientific figures. It can also perform tasks like rebuilding a web app's source code from screenshots alone, without additional scaffolding.

A striking demonstration: Earlier, Claude models needed complicated helper harnesses to play Pokémon FireRed. Claude Fable 5 completed the game using only raw game screenshots, without maps, navigation aids, or extra game-state information. Vision only.

VI. Memory and Long-Context Work

Fable 5 stays focused across millions of tokens in long-running tasks and uses its own notes to improve outputs. In tests using the deck-building game Slay the Spire, access to persistent file-based memory improved Fable 5's performance three times more than the same setup did for Opus 4.8. Fable also reached the game's final act three times more often than the previous model.

V. Scientific Research and Drug Design

This is where Mythos 5 becomes genuinely remarkable. Anthropic's internal protein design experts can accelerate aspects of the drug design process by approximately ten times. In one scenario, the model, given protein design and bioinformatics tools but no human assistance, matched or beat skilled human operators across the full scientific workflow: choosing binding sites, selecting and running tools, and recovering from failures independently.

Nine of 14 protein targets yielded strong drug design candidates that are now under active investigation.

Mythos 5 is the first Claude model to consistently produce novel, compelling scientific hypotheses in molecular biology. In blinded comparisons, scientists preferred Mythos's molecular biology hypotheses roughly 80% of the time over Opus-class outputs. One hypothesis about an E. coli protein mechanism was independently corroborated by a separate lab working on the same problem.

Also Explore: Best AI Chatbots

Who Is Claude Fable 5 For? Who Should Use it?

This model is useful for the following entities:

  • Developers: Claude Fable 5 is now available on the Claude API. If you're building AI solutions that demand frontier intelligence, complicated agents, long-horizon coding pipelines, and multi-day autonomous systems, this is your model.
  • Enterprise Teams: The platform is built for organizations tackling their hardest knowledge and coding work. Teams can hand off large, multi-stage projects and review polished deliverables.
  • Researchers: It is also a great tool for deep scientific analysis, document-heavy workflows, or autonomous research tasks. Its combination of long-context handling, vision, and self-verification makes it the most capable research tool Anthropic has ever released publicly.
  • Individual Subscribers: This model is available to subscribers and is described as the model "for your toughest challenges." On the free plan, it was included as a trial until June 22. Upgrading to Claude Pro unlocks full access.

How to Use Claude Fable 5? A Quick Start

Getting started with Claude Fable 5 on the API takes less than five minutes. Here's exactly how to do it.

Step 1: Install the Anthropic SDK

pip install anthropic

Step 2: Make your first Fable 5 API call

import anthropic

client = anthropic.Anthropic()

message = client.messages.create(
 model="claude-fable-5",
 max_tokens=8192,
 messages=[
 {"role": "user", "content": "Your prompt here"}
 ]
)

print(message.content)

Step 3: Enable adaptive thinking for complex tasks

Fable 5 uses adaptive thinking, and the model's reasoning automatically scales to match the complexity of your prompt. Unlike extended thinking (which you toggle manually on Opus 4.8), adaptive thinking on Fable 5 is always on. There is nothing extra to configure.

Step 4: Run it in Claude Code for autonomous workflows

claude --model claude-fable-5

This unlocks Fable 5's full autonomous capabilities like multi-day sessions, self-written test suites, sub-agent delegation, and self-verification. This is where the model's lead over everything else becomes most visible.

One important note for enterprise users: Claude Fable 5 comes with a mandatory 30-day data retention policy. Unlike previous Claude models, where zero-day retention was available, Fable 5 requires Anthropic to retain API inputs and outputs for 30 days for safety monitoring purposes. Factor this into your compliance review before deploying in regulated industries.

Related Article: How to Learn Coding

Claude Fable 5 Pricing

Plan Price
Input tokens $10 per million tokens
Output tokens $50 per million tokens
Prompt caching discount 90% off input tokens
US-only inference 1.1x standard pricing

This is less than half the price of Claude Mythos Preview, making Mythos-class capability accessible to a much broader developer audience.

claude fable pricing

Where Can You Access Claude Fable 5?

You can access it from the following tools:

  • Claude.ai (claude.ai): Consumer and Pro plans
  • Claude API: Direct API access via Anthropic's platform
  • Amazon Bedrock: Available in US East (N. Virginia) and Europe (Stockholm) regions
  • Google Cloud Vertex AI
  • Microsoft Foundry (Azure)
  • Claude Platform on AWS: North America, South America, Europe and Asia Pacific

The Safety Question: Why Safeguards Matter?

We were discussing the safeguards of Fabke from the very start. Anthorpic has also been very transparent about the risks from the start. Let me explain everything about it. Fable 5 has exceptional cybersecurity capabilities that could be used to identify and exploit software vulnerabilities at scale. It should not go in the wrong hands, as Marvel says Great Powers Come with Great Responsibilities.

Therefore, Anthoric has come to a solution:

Conservative safeguards that intercept queries in high-risk areas (cybersecurity, biology, chemistry, distillation) and fall back to Claude Opus 4.8. Before the public launch, Anthropic ran an external bug bounty that produced no universal jailbreaks in over 1,000 hours of testing, followed by external red-teaming organizations, which also found none.

These safeguards will sometimes catch harmless requests, that's by design. The false positive rate sits at under 5% of sessions on average, and Anthropic has stated it is actively working to reduce this as model generations improve. This is, frankly, one of the more mature safety rollout strategies the industry has seen.

Claude Fable 5 vs Opus 4.8 vs Sonnet 4.6: Which Model Should You Use?

The Claude offers three powerful models now. Therefore, most of indovuals always come across one common question: which one is right for your use case? Here's a direct, no-fluff comparison based on official specs.

Feature Claude Fable 5 Claude Opus 4.8 Claude Sonnet 4.6
Model tier Mythos-class Opus-class Sonnet-class
Best for Days-long, complex, autonomous tasks Complex reasoning & agentic coding Speed + intelligence balance
Context window 1M tokens 1M tokens 1M tokens
Max output 128k tokens 128k tokens 128k tokens
Adaptive thinking Yes (always on) Yes Yes
Extended thinking No Yes No
Input price $10/M tokens $15/M tokens $3/M tokens
Output price $50/M tokens $75/M tokens $15/M tokens
API model ID claude-fable-5 claude-opus-4-8 claude-sonnet-4-6
Availability API, Claude.ai, AWS, GCP, Azure API, Claude.ai, AWS, GCP, Azure API, Claude.ai, AWS, GCP, Azure

Claude Fable 5 vs GPT-5.5: How Does It Compare to OpenAI?

The real rivalry isn't within Anthropic's own lineup. It is between Claude Fable 5 and GPT-5.5. Here's where things stand based on available benchmark data.

Benchmark Claude Fable 5 GPT-5.5
SWE-bench Verified 95.0% Not published
Every Senior Engineer 91/100 62/100
FrontierCode Diamond 29.3% Not published
Vision tasks State-of-the-art Competitive
Context window 1M tokens 1M tokens
Input pricing $10/M tokens ~$10/M tokens
Output pricing $50/M tokens ~$40/M tokens
Autonomous agent runs Days-long natively Hours-long

Where Claude Fable 5 wins:

Coding benchmarks aren't even close right now. A 95% SWE-bench Verified score vs GPT-5.5's unpublished numbers, combined with the Every Senior Engineer gap of 91 vs 62, makes Fable 5 the clear choice for serious software engineering work. Fable 5 also handles longer autonomous runs natively, days, not hours.

Where GPT-5.5 is competitive:

For general-purpose conversational tasks, creative writing, and workflows deeply embedded in the Microsoft/Azure ecosystem, GPT-5.5 remains a strong option. OpenAI's plugin and integration ecosystem is also more mature for certain business workflows.

Final Thoughts

Claude Fable 5 is not a minor update. It is a fundamental capability shift, where Anthropic moved its most powerful model class from a restricted research program into the hands of developers, enterprises, and individuals worldwide.

For anyone building serious AI-powered systems, doing complex research, or simply wanting access to the most capable AI assistant currently available to the public, Claude Fable 5 is the model to use right now.

FAQs

Q1. How much does Claude Fable 5 cost?

$10 per million input tokens and $50 per million output tokens. Prompt caching comes with a 90% input token discount.

Q2. Is Claude Fable 5 available on AWS?

Yes. It is available on Amazon Bedrock and Claude Platform on AWS in multiple global regions, effective June 9, 2026.

Q3. Is Claude Fable 5 available to free users?

As a limited trial, yes. It was included for free plan users until June 22. For ongoing access, a Claude Pro subscription is required.

Q4. What is Claude Mythos 5?

The Mythos 5 is the complete AI agent that does not have any safety restrictions partially lifted for trusted cyberdefenders and critical infrastructure operators. It is deployed via Project Glasswing, an initiative in collaboration with the US government.

Q5. Can Claude Fable 5 work autonomously?

Yes. When used in an agent harness like Claude Code or Claude Managed Agents, Fable 5 can work for days at a time, planning across stages, delegating to sub-agents, writing its own tests, and checking its own outputs.

Q6. What benchmarks does Claude Fable 5 top?

It is state-of-the-art on nearly all tested benchmarks, with top scores on Cognition's FrontierCode evaluation (coding), Hebbia's Finance Benchmark (knowledge work), and multiple vision benchmarks. Full benchmark comparisons are available on Anthropic's official model card.

Q7. What is the Claude Fable 5 API model string?

The API model ID is claude-fable-5. For the exact versioned string and migration guidance, refer to the official Anthropic API documentation at platform.claude.com.

About the Author
Nehal Somani
About the Author

Nehal Somani is a technology writer specializing in Machine Learning, Artificial Intelligence, Deep Learning, and Robotic Process Automation. She simplifies complex concepts into clear, practical insights with an engaging style, helping beginners and professionals build knowledge, explore innovations, and stay updated in the fast-evolving tech landscape.

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