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Anthropic · Chat

Claude Fable 5.1

Anthropic’s most capable model, built for work that runs for hours and checks its own results.

Input$11.50per 1M tokens
Output$57.50per 1M tokens
BillingOne monthly invoiceevery model on one key
Request early accessSee every model’s rate

About Claude Fable 5.1

Fable 5.1 sits above Opus in Anthropic’s lineup. It is the model for jobs that take a long time and many steps: an agent that plans, uses tools across several applications, recovers when something breaks and checks its own work before it reports back. Anthropic’s numbers show where the jump is — 55.8% on Terminal-Bench 4.0, up from 42.0% for Fable 5, and 65.0% on Humanity’s Last Exam with tools.

It always thinks before it answers. You choose how hard, from low to max effort, and the default is high. That makes it the slowest model Anthropic sells, so it earns its place on problems a cheaper model gets wrong, not on everyday drafting.

Where it’s strong

Long-running coding agents that work through a large change on their own.

Research that has to verify its own findings before it reports.

Building finished documents, spreadsheets and slide decks from a brief.

The hardest reasoning problems, where Opus still falls short.

Where to be careful

Slow. Anthropic rates it the slowest model in its current lineup, so it is a poor fit for anything a person sits waiting on.

Requests touching cybersecurity or biology can trip Anthropic’s safety filters and be refused or handed to an older model.

Check whether Opus 5.5 or Sonnet 5.5 already does the job first. For most work, they do.

Price

Input$11.50 per 1M tokens
Output$57.50 per 1M tokens
Cached input$0.2875 per 1M tokens
Cache write$14.375 per 1M tokens
Batch input$5.75 per 1M tokens
Batch output$28.75 per 1M tokens

For scale: 1,000 requests of about 3,000 tokens in and 1,000 out cost $92.00 — a long prompt and a page of answer each. Every rate is published and stays the same from one request to the next. See every model.

Specs

Made byAnthropic
ReleasedSeptember 2026
TypeChat
Context window1M tokens
Longest answer128K tokens
ReadsText, Images, PDFs
Thinks before answeringAlways on
WeightsClosed
Model idclaude-fable-5-1

Call it

Use the OpenAI SDK you already have — point it at Roar AI and name the model. Read the docs.

from openai import OpenAI

client = OpenAI(base_url="https://api.roar-ai.com/v1", api_key="roar_live_…")

reply = client.chat.completions.create(
    model="claude-fable-5-1",
    messages=[{"role": "user", "content": "Summarise this contract in plain English."}],
)

Questions

How much does Claude Fable 5.1 cost?

Input is $11.50 per 1M tokens; output is $57.50 per 1M tokens. For scale, 1,000 requests of about 3,000 tokens in and 1,000 out cost $92.00. The rate is published and does not change from one request to the next.

Can I use Claude Fable 5.1 alongside other models?

Yes. Every model on Roar AI is on the same API key and the same monthly invoice, so switching from Claude Fable 5.1 to another model is a change to one word in your code.

Is Claude Fable 5.1 open source?

No. Anthropic does not publish the weights, so it is only available through an API like this one.