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Independent tool overview

Claude Fable at a glance

Claude Fable 5 is Anthropic's most capable generally available model, built for difficult software, research, and long-running agent work that can justify premium pricing and slower responses.

Visit the official Claude Fable site ↗
Claude Fable product preview
Best for
The hardest long-running agent, coding, research, and knowledge-work tasks
Context window
1 million tokens
Maximum output
128,000 tokens
API model ID
claude-fable-5
Consumer access
Paid Claude plans; not included on Free
API price
$10 input / $50 output per million tokens

Overview

What Claude Fable is

Claude Fable 5 sits above Claude Opus and Sonnet in Anthropic's model lineup. It is designed for the hardest long-horizon work: large software projects, multi-step research, complex knowledge work, and agents that operate for hours or longer.

The model accepts text and images, provides a 1 million-token context window, and can produce up to 128,000 output tokens. Its agent stack includes memory, code execution, programmatic tool use, context editing, and compaction for work that cannot fit cleanly into one prompt-response cycle.

Fable also has stricter safety classifiers than Anthropic's other generally available models. Applications must treat a refusal as a normal successful API response and decide whether to retry, route to another model, or ask the user to revise the request.

Use cases

Who Claude Fable is best for

The strongest fit depends on the job you need the product to complete, not the size of its feature list.

Long-running agents

Use Fable for multi-stage projects that need sustained planning, tools, memory, and context management over hours or days.

High-stakes software work

It is suited to difficult repository-scale implementation, debugging, architecture, and technical investigation where model quality matters more than speed.

Complex research and analysis

The large context window and tool support make it useful for synthesizing extensive documents, data, images, and external evidence.

Large multimodal projects

Fable can reason across text and images when a project includes diagrams, screenshots, scanned documents, or other visual inputs.

Capabilities

Core Claude Fable features

1

Always-on adaptive thinking

Fable automatically determines how much internal reasoning a task needs. Developers can tune effort, but cannot disable thinking entirely.

2

One-million-token context

The model can work across very large codebases and document collections, with compaction and context-editing options for longer-running sessions.

3

Agent tools

Anthropic supports memory, code execution, programmatic tool calling, tool-result clearing, task budgets, and other controls for durable agent workflows.

4

Text and vision input

Fable accepts text and images and can produce long text responses, making it useful for mixed document and visual analysis.

5

Prompt caching

Cached prompt reads cost 90% less than standard input tokens, which can materially reduce repeated-context costs in large applications.

6

Safety-aware fallback handling

A refusal arrives with HTTP 200 and a refusal stop reason, allowing applications to route safely to a fallback or request a revised prompt.

Process

How the Claude Fable workflow works

  1. Step 1

    Reserve Fable for the hardest work

    Route routine requests to a faster, less expensive model and use Fable when evaluations show a meaningful quality advantage.

  2. Step 2

    Set effort and task budgets

    Give the model clear success criteria, tool permissions, and resource limits for long-running work.

  3. Step 3

    Manage context deliberately

    Use prompt caching for stable instructions and references, then use compaction or context editing as the session grows.

  4. Step 4

    Handle refusals as an application state

    Inspect the stop reason even when the request succeeds, and define a safe fallback or user-revision path.

  5. Step 5

    Evaluate quality, latency, and cost

    Test representative tasks against Opus and Sonnet before making Fable the default model.

Cost

Claude Fable pricing and free plan

Fable is Anthropic's premium model. API use costs $10 per million input tokens and $50 per million output tokens. Paid Claude-plan access varies: some plans use credits from the first message, while eligible premium plans include a limited weekly allowance before credits apply.

Claude Pro

$20/month or $200/year

Fable is available through usage credits rather than the standard included Pro allowance.

  • No Fable access on the Free plan
  • Annual billing works out to about $17 per month
  • Available across supported Claude apps

Claude Max

From $100/month

Max plans include Fable use for up to 50% of the weekly usage limit, after which usage credits apply.

  • Max 5x costs $100 per month
  • Max 20x costs $200 per month
  • Actual included use depends on token consumption and workload

Claude Team

From $20/seat/month annually

Standard Team access uses credits from the start; eligible premium seats include Fable for up to 50% of the weekly allowance.

  • Standard seats are $20 annually or $25 monthly
  • Premium seats are $100 annually or $125 monthly
  • Two-seat minimum

Claude API

$10 input / $50 output per 1M tokens

Usage-based pricing for developers, with separate prompt-caching rates.

  • Five-minute cache writes: $12.50 per million tokens
  • One-hour cache writes: $20 per million tokens
  • Cache hits: $1 per million tokens
  • US-only inference carries a 1.1x multiplier

Pricing checked . Check current pricing at the source ↗

Assessment

Claude Fable strengths and limitations

Where it stands out

  • Anthropic's highest-capability generally available model
  • Strong fit for long-horizon agents and difficult repository-scale coding
  • One-million-token context with up to 128,000 output tokens
  • Broad agent tooling, including memory, code execution, compaction, and programmatic tool use
  • Available across Claude apps, the Anthropic API, and major cloud platforms

What to consider

  • API use costs twice as much as Claude Opus 4.8 and substantially more than Sonnet
  • Responses are slower than Anthropic's lower-cost models
  • Adaptive thinking is always on and cannot be disabled
  • Stricter safety classifiers can decline harmless requests, so applications need explicit refusal handling
  • Fable requires 30-day data retention and does not support zero-data-retention arrangements

Compare

Claude Fable alternatives

The right alternative depends on the specific output, workflow, controls and budget your project requires.

Business Operations

ChatGPT

A broader end-user AI workspace with a large ecosystem of tools and integrations.

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Questions

Claude Fable FAQs

What is Claude Fable 5?

Claude Fable 5 is Anthropic's highest-capability generally available model. It is designed for difficult, long-running coding, research, agent, and knowledge-work tasks.

How much does Claude Fable 5 cost?

The API costs $10 per million input tokens and $50 per million output tokens. Consumer access requires a paid Claude plan, but included usage and credit rules differ by plan.

Is Claude Fable available on the free Claude plan?

No. Anthropic currently limits Fable access to paid Claude plans, usage-based Enterprise accounts, the API, and supported cloud marketplaces.

What is the difference between Claude Fable 5 and Claude Mythos 5?

They share the same underlying capabilities, but Fable is the generally available model with stricter safety safeguards. Mythos is restricted to approved Project Glasswing participants and is not a general consumer option.

How large is Claude Fable's context window?

Fable supports a 1 million-token context window and up to 128,000 output tokens.

How should an API app handle a Fable refusal?

Check the response stop reason even when the HTTP request succeeds. A refusal uses HTTP 200, so the application should route to a safe fallback or ask the user to revise the request.

Does Claude Fable support zero data retention?

No. Anthropic's current documentation says Fable requires 30-day data retention and is not available under zero-data-retention arrangements.

Bottom line

Our Claude Fable verdict

Claude Fable 5 is the model to test when a project is too difficult or long-running for ordinary production models. Its capability, context, and agent tooling are exceptional, but the high token price, slower responses, stricter refusals, and retention requirement make Opus or Sonnet the better default for routine work.

Visit Claude Fable website ↗
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