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Anthropic · Frontier

Claude Fable Latest

Added Jun 9, 2026

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Use in the app

Compatibility alias for Claude Fable 5.1. Anthropic retains prompts and outputs for 30 days under its Covered Models policy; Zero Data Retention is not available.

  • Reasoning
  • Tools
  • Vision
  • Structured output
  • PDF input
Input
Text, Images
Output
Text
Reasoning effort
low · medium · high · xhigh · max
Discovery tier
Frontier

Pricing

USD per 1M tokens
Input
$10.00
Output
$50.00
Cache read
$0.25
Cache write
$12.50
$20.00 for a 1-hour cache

Reference prices as published by the model provider. API example

Specifications

Context window
1M
Max output
128K

Side by side

Claude Fable Latest compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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Claude Fable LatestAnthropicThis modelClaude Fable 5AnthropicRemove
ProviderAnthropicAnthropic
Discovery tierFrontierFrontier
AddedJun 9, 2026Jun 9, 2026
Limits
Context window1M1M
Max output128K128K
Average output—1.2K tokens
Pricing, USD per 1M tokens
Input$10.00$10.00
Output$50.00$50.00
Cache read$0.25Best$1.00
Cache write$12.50$12.50
Performance
Throughput75.6 tok/s79.4 tok/sBest
Time to first token8.3 s6.0 sBest
Request success (24h)98.9%100.0%Best
Benchmark indexes
Intelligence Index53.4Best49.6
Coding Index81.6Best76.5
Capabilities
ReasoningYesYes
ToolsYesYes
VisionYesYes
Structured outputYesYes
PDF inputYesYes
Reasoning effortlow, medium, high, xhigh, maxlow, medium, high, xhigh, max

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • Claude Fable Latest
  • Claude Fable 5

Intelligence Index

  • Claude Fable Latest53.4
  • Claude Fable 549.6

Claude Fable Latest tested at max reasoning effort

Claude Fable Latest: Better than 98% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Claude Fable Latest: 81.6Top
    • Claude Fable 5: 76.5

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Claude Fable Latest: 59.4%Top
    • Claude Fable 5: 54.1%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Claude Fable Latest: 32.1%Top
    • Claude Fable 5: 24.7%

  • Harvey LAB-AAv1.1

    Legal tasks passed in full, with no material hallucination

    • Claude Fable Latest: 6.4%
    • Claude Fable 5: —

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Claude Fable Latest: 1,671 EloTop
    • Claude Fable 5: 1,537 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Claude Fable Latest: 1,755 EloTop
    • Claude Fable 5: 1,610 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Claude Fable Latest: 26.2%Top
    • Claude Fable 5: 24.0%

  • AA-LCRv1.1

    Reasoning across long documents

    • Claude Fable Latest: 85.3%Top
    • Claude Fable 5: 82.3%

  • MLCR-AA

    Long-context reasoning over medical records

    • Claude Fable Latest: 15.6%
    • Claude Fable 5: 20.6%Top

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Claude Fable Latest: 59.1%Top
    • Claude Fable 5: 55.5%

  • GPQA Diamond

    Graduate-level science questions

    • Claude Fable Latest: 93.7%Top
    • Claude Fable 5: 92.6%

  • IFBench

    Following precise output instructions

    • Claude Fable Latest: —
    • Claude Fable 5: 63.5%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Claude Fable Latest: 52.0%Top
    • Claude Fable 5: 42.4%

  • SciCode

    Scientific computing in Python

    • Claude Fable Latest: 63.1%Top
    • Claude Fable 5: 61.0%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Claude Fable Latest: —
    • Claude Fable 5: 62.9%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Claude Fable Latest: —
    • Claude Fable 5: 98.5%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Claude Fable Latest: 85.3%Top
    • Claude Fable 5: 82.3%

Scores from Artificial Analysis, updated Oct 26, 2026. Claude Fable Latest was tested at max reasoning effort; compare scores measured at the same effort.Artificial Analysis

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Throughput
75.6 tok/s
Faster than 50% of 250 models
Time to first token
8.3 s
Quicker than 14% of 250 models
Prompt cache hits
38.0%
About $6.30 per 1M input tokens with caching
Request success (24h)
98.9%
Reliable

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

Hourly request success · last 72 hoursLowest hour 87.8%
  • Healthy (98% or more)
  • Degraded (90–98%)
  • Down (under 90%)
  • No requests

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "anthropic/claude-fable-latest",
    "reasoning_effort": "medium",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="anthropic/claude-fable-latest",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Anthropic

Other Anthropic models, starting with the same family.