| Model ID claude-fable-5 | Context Window 300k | Max Context 1M | Provider Anthropic |
|---|---|---|---|
| Capabilities | Speed Medium | Cost High | Intelligence Frontier |
- Advanced reasoning and long context
- Generation of extensive and coherent texts
- Detailed document analysis
- More natural and consistent interactions

Model Details
Context window
Fable 5 supports large volumes of information in the same prompt, allowing:
- Analyze long documents
- Maintain coherence in extended conversations
- Work with multiple sources at the same time
Cost and credit consumption
This model is more expensive than standard models.Factors that impact cost:
- Prompt size (input tokens)
- Response size (output tokens)
- Continuous use in long conversations
Information retention (Data Retention)
Anthropic models may have specific data retention policies depending on the type of usage. See more details here (link).When using Claude Fable 5, it is important to understand how the data sent in the prompt may be handled. In general, the model processes all included information:
- Text typed in the prompt
- Attached files
- Conversation history (context window)
To mitigate risks:
- Avoid sending sensitive data unless necessary
- Anonymize information whenever possible: Ex - replace names, emails, IDs
- Use explicit instructions in the prompt: “Do not retain or reuse this information outside of this analysis.”
- Prefer working with summaries or excerpts instead of full documents
Access controlIn enterprise environments, it is possible to limit which models are available to users, allowing this model to be strategically restricted to avoid sharing sensitive data or incurring high costs.
Pricing and credit consumption
Claude Fable 5 is a premium model and tends to have a higher cost than lighter or general-purpose models. Therefore, it should mainly be used for tasks that truly require greater reasoning capability, long context, or response quality. Usage cost is typically influenced by:- Input tokens: prompt size, attached files, and conversation history.
- Output tokens: size of the response generated by the model.
- Long context usage: the more information sent to the model, the higher the consumption tends to be.
| Name | Input Token | Cache Write | Cache Read | Output |
|---|---|---|---|---|
| Claude Fable 5 | $10 /M | $12.5 /M | $1 /M | $50 /M |