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Anthropic: Claude Opus 5.5

Anthropic

flagship

Capabilities

VisionToolsStructured OutputExtended ThinkingLong ContextCode

Strengths

  • Exceptional reasoning and multi-step code generation
  • Industry-leading 1M token context window for long-horizon tasks
  • Strong vision and multimodal understanding capabilities
  • Extended thinking for complex problem decomposition

Weaknesses

  • High output cost ($20/M tokens) limits large-scale applications
  • Slower inference relative to smaller models
  • Closed-source; cannot be self-hosted or audited
  • No public sustainability or energy efficiency data

Pricing

Input / 1M tokens

$4

Output / 1M tokens

$20

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

5.5 / 10

FMTI company score

N/A

Composite:4.0 / 10

Closed-source flagship model. Anthropic publishes research on Constitutional AI and safety principles but does not disclose training data or model weights. Limited transparency on infrastructure and computational footprint.

Sustainability

Inference energy

N/A

Training footprint

N/A

Provider infrastructure

5.0 / 10

Composite:5.0 / 10

No public commitment to renewable energy or carbon-neutral infrastructure. Large flagship model with significant inference costs. Sustainability metrics not publicly available.

Task Fitness

question answering
97%
code
100%
mathematics
96%
business communication
100%
vision
88%
analysis
98%
extraction
100%
long-form generation
100%
research
97%
reasoning
98%
summarisation
95%
translation
92%
conversation
95%