Scoped billing reference

Price for the stated settings.

$7.00Input / 1M tokens$35.00Output / 1M tokens

Uncached input and output are priced separately per million tokens.

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Capabilities

Model capabilities.

Input → output

text, image, document → text

Workload candidates.

Candidates for the stated workload and billing scope.

Vision

Available candidate

For native image input, contact Roten to confirm the request format for your integration.

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Documents

Performance candidate

For native PDF input, contact Roten to confirm the request format. The examples here send document text.

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Reference Arena scores.

Reference scores.

Reference Arena scores for Claude Fable 5 High
WorkloadBenchmarkRecorded score
TextArena1504
CodingArena1551
VisionArena1308
DocumentsArena1496

Reference benchmark data is separate from API capability tests.

Read the methodology

Implementation

Test this model.

Copy a model request, replace the API key with your own, and run.

API model ID: claude-fable-5

Text, coding and reasoning through the text API. For native image or PDF input, contact Roten to confirm the request format.

Copy the Python or cURL test for Claude Fable 5 High. Replace the API-key placeholder with your own key and run.

High-effort text test · Uses high reasoning with room for the required 4,096-token thinking budget. This test does not reproduce the Arena benchmark.

Claude Fable 5 High · cURL
curl --fail-with-body 'https://api.roten-ai.com/v1/responses' \
  -H 'Content-Type: application/json' \
  -H 'Authorization: Bearer YOUR_ROTEN_API_KEY' \
  -d '{
  "model": "claude-fable-5",
  "input": "Write one short welcome sentence for a developer starting with Roten AI.",
  "reasoning": {
    "effort": "high"
  },
  "max_output_tokens": 4608
}'

Python requires requests: install once with python3 -m pip install requests. cURL examples run directly in your terminal.

Consider an alternative.

Compare its input formats, capabilities and prices.

K

Kimi K2.6

Moonshot AI

Available

Alternative cost candidate for documents.

Documents use extracted text, not native PDF uploads.

$0.665 input / $2.80 output · per 1M tokens
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