Why ChatGPT Agent Sets the Benchmark for Future Large‑Model AI Agents

Performance

Official data show that ChatGPT Agent achieved a 41.6% accuracy rate on the HLE benchmark, which contains over 100 interdisciplinary research questions. The agent also leads in mathematics, web information retrieval, webpage manipulation, and spreadsheet operations.

Demonstration Scenarios

Personal Wedding Planner

Scenario Planning a friend’s wedding.

Process The agent browses wedding‑information sites, extracts dress and venue requirements, compares nearby hotels, suggests gifts, and generates a comprehensive report with links.

Commercial Procurement

Scenario Ordering 500 custom notebook stickers for a team.

Process The agent uses an image‑generation API to design stickers, visits the e‑commerce site Sticker Mule, uploads the design, sets the quantity, adds the items to the cart and pauses before payment for user confirmation.

Data Analysis & Report Generation

Scenario Analyzing internal evaluation data and creating a PowerPoint presentation.

Process The agent connects to Google Drive via API, reads the specified file, runs code to process data and generate charts, calls an image‑generation API for decorative graphics, and assembles a downloadable .pptx file.

Complex Itinerary Planning

Scenario Planning a season‑long tour of all 30 MLB stadiums.

Process The agent searches team schedules, writes code for route optimization, and outputs a detailed spreadsheet with dates and maps.

The agent’s interactive mode allows users to interrupt execution, provide additional information, and adjust plans at any point.

Pricing

Pro users : 400 queries per month, available on launch day.

Plus and Team users : 40 queries per month, available a few days after launch.

Enterprise and Edu users : query quota not specified, expected by the end of the month.

Core Capabilities

Unified Toolbox

The agent can seamlessly switch among multiple tools within a single virtual environment:

Text browser (DeepResearch) for fast web‑text search.

Visual browser (Operator) for UI interactions such as clicking buttons and filling forms.

Code terminal for executing scripts, generating files (e.g., spreadsheets, slides), and invoking APIs.

API connectors for services like Google Drive, Google Calendar, GitHub, SharePoint, etc.

Image‑generation API for creating charts or decorative graphics.

Intelligent Decision & Autonomy

Reinforcement‑learning training enables the model to select the appropriate tool at the right moment and to iteratively review and improve its outputs.

Collaboration & Interactivity

Users can interrupt the agent, supply new instructions, and the agent will request clarification when needed. A takeover mode lets users manually handle sensitive steps (e.g., entering passwords) before returning control to the agent.

Comparison with Manus

Manus is described as a demo‑level product with limited stability. ChatGPT Agent benefits from targeted reinforcement‑learning that improves tool orchestration, multi‑step coherence, and overall robustness, making it a production‑ready solution.

Conclusion

ChatGPT Agent extends the function‑calling capabilities introduced by GPT‑4, offering an integrated toolbox, autonomous decision‑making, and collaborative workflow that together set a new standard for large‑model agents.