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Anthropic: Claude Fable 5

Anthropic

flagship

Capabilities

VisionToolsStructured OutputExtended ThinkingLong ContextCode

Strengths

  • Exceptional long-context reasoning with 1M token window
  • Strong multimodal vision and file input capabilities
  • Excellent performance across coding, analysis, and conversation tasks
  • Extended thinking support for complex multi-step problems

Weaknesses

  • High output pricing ($50/M) limits cost-effective large-scale deployment
  • Slower inference speed typical of large flagship models
  • Closed-source weights prevent self-hosting and full data control
  • Limited transparency on training methodology and data sourcing

Pricing

Input / 1M tokens

$10

Output / 1M tokens

$50

Context window

1,000k

Transparency

Open weights

0.0 / 10

Open training data

0.0 / 10

Open methodology

3.5 / 10

Licence openness

1.0 / 10

Provider disclosure

5.0 / 10

FMTI company score

N/A

Composite:4.0 / 10

Closed-source model with limited public disclosure of training methods or data sourcing. Anthropic publishes research on Constitutional AI and safety, but proprietary details remain undisclosed. Output pricing of $50/M tokens indicates flagship capability tier.

Sustainability

Inference energy

N/A

Training footprint

N/A

Provider infrastructure

5.0 / 10

Composite:1.9 / 10

No publicly disclosed green infrastructure commitments or energy efficiency metrics for this model. Anthropic's sustainability practices are not well-documented in public sources. Default conservative assessment pending additional transparency.

Task Fitness

question answering
90%
code
62%
mathematics
91%
business communication
87%
vision
88%
analysis
88%
extraction
89%
long-form generation
88%
research
84%
reasoning
90%
summarisation
92%
translation
85%
conversation
92%