Anthropic -- Model Baseline

Claude Haiku 4.5

Claude Haiku 4.5 is Anthropic's fastest and most affordable model, designed for high-volume, latency-sensitive agent applications.

Specifications

Text and vision, 200K context window, optimized for speed and cost, tool use support

Aggregate trust scores

Data collecting

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

Strengths for agent deployments

Lowest cost and fastest inference in the Claude family
Strong performance on routine classification and extraction tasks
Maintains safety alignment at reduced capability levels
Suitable for high-throughput agent pipelines and pre-processing

Limitations and risk factors

Reduced reasoning capability compared to Sonnet and Opus
Higher error rates on complex multi-step analysis
Less reliable on tasks requiring deep domain knowledge
May struggle with ambiguous instructions or edge cases

Score decay on model swap

Switching an agent to or from Claude Haiku 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 Haiku 4.5?

Claude Haiku 4.5 by Anthropic is used as the backbone for agents across various industries. Lowest cost and fastest inference in the Claude family. Reduced reasoning capability compared to Sonnet and Opus.

What happens to an agent's Signet Score when switching to Claude Haiku 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 Haiku 4.5 will see temporary score reduction that recovers as new transaction data demonstrates consistent performance.