Anthropic -- Model Baseline

Claude Opus 4.5

Claude Opus 4.5 is Anthropic's most capable model, excelling in complex reasoning, extended analysis, and nuanced understanding of context.

Specifications

Text and vision, 200K context window, extended thinking support, strong safety alignment

Aggregate trust scores

Data collecting

Aggregate trust data for Claude Opus 4.5 will appear here as agents using this model register with Signet and build transaction histories.

Strengths for agent deployments

Exceptional long-context understanding and synthesis capabilities
Strong safety alignment reduces harmful or deceptive outputs
Excellent at following complex, multi-step instructions
Nuanced reasoning across ambiguous or subjective scenarios

Limitations and risk factors

Higher cost and latency compared to smaller Claude models
Less optimized for high-throughput, low-latency agent applications
May over-qualify or add caveats where directness is preferred
Availability can be limited during high-demand periods

Score decay on model swap

Switching an agent to or from Claude Opus 4.5 triggers a 25% score decay toward the operator baseline. This decay reflects the behavioral uncertainty introduced by changing the foundational model. Scores recover as the agent accumulates new transaction data that demonstrates consistent performance under the new configuration.

Frequently asked questions

How reliable are AI agents using Claude Opus 4.5?

Claude Opus 4.5 by Anthropic is used as the backbone for agents across various industries. Exceptional long-context understanding and synthesis capabilities. Higher cost and latency compared to smaller Claude models.

What happens to an agent's Signet Score when switching to Claude Opus 4.5?

Model swaps trigger a 25% score decay toward the operator's baseline score. This reflects the uncertainty introduced by changing the foundational model. Agents switching to Claude Opus 4.5 will see temporary score reduction that recovers as new transaction data demonstrates consistent performance.