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Claude Fable 5.2

anthropic/claude-fable-5-2

Maker
Anthropic, United States
Released
2026-11-09
Knowledge cutoff
2026-06
Family
claude-fable
Weights
closed
Tasks
text.chat, text.reasoning, code, vision.understand, vision.extract
Cheapest offering
Anthropic, about $0.02 for a typical text.chat call

Offerings

ProviderModel id at the providerStatusPrice per 1M tokensPer-unit pricesLimitsCapabilities (level)
Anthropicclaude-fable-5-2ganot before 2027-11-09
  • Input: $8
  • Output: $40
  • Cache read: $0.2
  • Cache write (5 min): $10
  • Input, priority tier: $16
  • Output, priority tier: $80
  • Cache read, priority tier: $0.4
  • Cache write (5 min), priority tier: $20
Since 2026-11-10 · models.dev, MIT
none
  • Context: 1,000,000 tokens
  • Max input: 1,000,000 tokens
  • Max output: 128,000 tokens
  • input.text claimed
  • input.image probed 2026-11-10
  • input.pdf probed 2026-11-10
  • output.text claimed
  • tools claimed
  • structured_output probed 2026-11-10
  • reasoning native
  • batch native
  • citations native
  • web_search native
  • code_execution native
  • tool_choice claimed
  • prompt_caching claimed
  • computer_use claimed
  • no_training claimed
Azure OpenAIclaude-fable-5-2ga
  • Input: $8
  • Output: $40
  • Cache read: $0.2
  • Cache write (5 min): $10
Since 2026-11-10 · models.dev, MIT
none
  • Context: 1,000,000 tokens
  • Max output: 128,000 tokens
  • input.text claimed
  • input.image claimed
  • input.pdf claimed
  • output.text claimed
  • tools claimed
  • structured_output claimed
  • reasoning claimed
Amazon Bedrockanthropic.claude-fable-5-2ga
  • Input: $8
  • Output: $40
  • Cache read: $0.2
  • Cache write (5 min): $10
Since 2026-11-10 · models.dev, MIT
none
  • Context: 1,000,000 tokens
  • Max output: 128,000 tokens
  • input.text claimed
  • input.image claimed
  • input.pdf claimed
  • output.text claimed
  • tools claimed
  • structured_output claimed
  • reasoning claimed
  • tool_choice claimed
  • prompt_caching claimed
  • computer_use claimed
Amazon Bedrockglobal.anthropic.claude-fable-5-2ga
  • Input: $8
  • Output: $40
  • Cache read: $0.2
  • Cache write (5 min): $10
Since 2026-11-10 · models.dev, MIT
none
  • Context: 1,000,000 tokens
  • Max output: 128,000 tokens
  • input.text claimed
  • input.image claimed
  • input.pdf claimed
  • output.text claimed
  • tools claimed
  • structured_output claimed
  • reasoning claimed
  • tool_choice claimed
  • prompt_caching claimed
  • computer_use claimed
Amazon Bedrockus.anthropic.claude-fable-5-2ga
  • Input: $8.8
  • Output: $44
  • Cache read: $0.22
  • Cache write (5 min): $11
Since 2026-11-10 · models.dev, MIT
none
  • Context: 1,000,000 tokens
  • Max output: 128,000 tokens
  • input.text claimed
  • input.image claimed
  • input.pdf claimed
  • output.text claimed
  • tools claimed
  • structured_output claimed
  • reasoning claimed
  • tool_choice claimed
  • prompt_caching claimed
  • computer_use claimed
OpenRouteranthropic/claude-fable-5.2ga
  • Input: $8
  • Output: $40
  • Cache read: $0.2
  • Cache write (5 min): $10
  • Cache write (1 h): $16
Since 2026-11-10
none
  • Context: 1,000,000 tokens
  • Max output: 128,000 tokens
  • input.text claimed
  • input.image probed 2026-11-10
  • input.pdf native
  • output.text claimed
  • tools probed 2026-11-10
  • structured_output probed 2026-11-10
  • reasoning probed 2026-11-10
  • tool_choice claimed
  • prompt_caching claimed
OpenRouteranthropic/claude-fable-5.2:batchga
  • Input: unknown
  • Output: unknown
  • Input, batch tier: $4
  • Output, batch tier: $20
  • Cache read, batch tier: $0.1
  • Cache write (5 min), batch tier: $5
  • Cache write (1 h), batch tier: $8
Since 2026-11-10
none
  • Context: 1,000,000 tokens
  • Max output: 128,000 tokens
  • input.text claimed
  • input.image claimed
  • input.pdf native
  • output.text claimed
  • tools claimed
  • tool_choice claimed
  • structured_output claimed
  • reasoning claimed
  • prompt_caching claimed
Claude on Vertex AIclaude-fable-5-2@defaultga
  • Input: $8
  • Output: $40
  • Cache read: $0.2
  • Cache write (5 min): $10
  • Input, priority tier: $16
  • Output, priority tier: $80
  • Cache read, priority tier: $0.4
  • Cache write (5 min), priority tier: $20
Since 2026-11-10 · models.dev, MIT
none
  • Context: 1,000,000 tokens
  • Max output: 128,000 tokens
  • input.text claimed
  • input.image claimed
  • input.pdf claimed
  • output.text claimed
  • tools claimed
  • structured_output claimed
  • reasoning claimed
Google Vertex AIclaude-fable-5-2@defaultga
  • Input: $8
  • Output: $40
  • Cache read: $0.2
  • Cache write (5 min): $10
  • Input, priority tier: $16
  • Output, priority tier: $80
  • Cache read, priority tier: $0.4
  • Cache write (5 min), priority tier: $20
Since 2026-11-10 · models.dev, MIT
none
  • Context: 1,000,000 tokens
  • Max output: 128,000 tokens
  • input.text claimed
  • input.image claimed
  • input.pdf claimed
  • output.text claimed
  • tools claimed
  • structured_output claimed
  • reasoning claimed

Quality scores

BasisScore (0–1)RawMeasuredSource
epoch:frontiermath1.0000.95092026-11-06Epoch AI, CC-BY-4.0, normalized by Nanner Tech
epoch:gpqa_diamond0.9740.93882026-11-06Epoch AI, CC-BY-4.0, normalized by Nanner Tech

Aliases

Other names the API accepts for this model.

  • anthropic.claude-fable-5-2
  • anthropic/claude-fable-5.2
  • anthropic/claude-fable-5.2:batch
  • claude-fable-5-2
  • claude-fable-5-2@default
  • global.anthropic.claude-fable-5-2
  • us.anthropic.claude-fable-5-2
  • ~anthropic/claude-fable-latest

Use it from the API

Look this model up, or ask for the best model for its task on the providers that offer it. See the quickstart and the API reference.

Look up this model
curl 'https://rhumbdata.com/v1/models/anthropic/claude-fable-5-2' \
  -H "Authorization: Bearer $RHUMB_KEY"
Resolve text.chat on its providers
curl 'https://rhumbdata.com/v1/resolve?task=text.chat&providers=anthropic,azure-openai,bedrock,openrouter,vertex-anthropic,vertex' \
  -H "Authorization: Bearer $RHUMB_KEY"

Built from catalog version 2026-11-10.2 of . Prices are list prices per 1M tokens unless marked otherwise; every score shows its source's notice (see Attributions).