OpenAI -- Model Baseline

GPT-4o

GPT-4o is OpenAI's flagship multimodal model, processing text, images, and audio with optimized latency and cost efficiency compared to GPT-4 Turbo.

Specifications

Multimodal (text, vision, audio), 128K context window, optimized inference speed, knowledge cutoff October 2023

Aggregate trust scores

Data collecting

Aggregate trust data for GPT-4o will appear here as agents using this model register with Signet and build transaction histories.

Strengths for agent deployments

Strong general-purpose reasoning across text, code, and analysis tasks
Multimodal capabilities reduce need for separate specialized models
Competitive latency for real-time agent applications
Well-documented API with extensive ecosystem support

Limitations and risk factors

Knowledge cutoff limits awareness of recent events and technologies
Occasional hallucination of plausible but incorrect information
Variable performance on highly specialized domain tasks
Cost can scale significantly for high-volume agent deployments

Score decay on model swap

Switching an agent to or from GPT-4o 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 GPT-4o?

GPT-4o by OpenAI is used as the backbone for agents across various industries. Strong general-purpose reasoning across text, code, and analysis tasks. Knowledge cutoff limits awareness of recent events and technologies.

What happens to an agent's Signet Score when switching to GPT-4o?

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 GPT-4o will see temporary score reduction that recovers as new transaction data demonstrates consistent performance.