Operator enables seamless AI model deployment, monitoring, and scaling for enterprises, ensuring that AI-powered applications run efficiently and cost-effectively.
✅ Enterprise AI Teams – Businesses that use AI models at scale and need efficient deployment.
✅ AI Engineers & Developers – Those managing multiple AI models and seeking an optimized way to run workloads.
✅ Cloud & IT Administrators – Teams looking to balance cost, performance, and efficiency of AI infrastructure.
✅ Startups & AI-Powered Applications – Companies leveraging AI for customer interactions, analytics, and automation.
How to Use OpenAI Operator?
1️⃣ Request Access: Since Operator is an enterprise-level tool, you may need to contact OpenAI for access.
2️⃣ Integrate with OpenAI APIs: Operator works within OpenAI’s cloud ecosystem, helping businesses streamline AI model usage across different applications.
3️⃣ Automate AI Model Selection: The operator chooses the best model for a given task based on cost, latency, and quality requirements. It can dynamically switch between models like GPT-4o, Whisper, or DALL·E 3 depending on the workload.
4️⃣ Optimize Performance and Costs: Use real-time monitoring to track API calls, response times, and expenses. The operator automatically adjusts GPU and compute resources to prevent wasteful spending.
5️⃣ Deploy and Scale AI Workflows: Businesses can automate AI-driven applications across customer support, document processing, and more. Operator ensures AI models run smoothly even under high-demand conditions.
- Enterprise-Level Scaling – Handles large-scale AI deployments without performance drops.
- Cost Optimization – Reduces unnecessary AI model usage, making operations more cost-effective.
- Real-Time Monitoring – Tracks AI performance and adjusts resources on demand.
- Seamless API Integration – Works with OpenAI’s GPT, DALL·E, Whisper, and future AI models.
- Automates AI Workflows – Saves engineering time by managing AI model execution.
- Optimized for Cost & Speed – Balances AI quality, response time, and cloud costs.
- Scalable for Large Workloads – Ideal for businesses handling millions of AI interactions.
- Enterprise-Focused – Not designed for individual developers or small-scale users.
- Limited Public Access – Currently, not widely available for self-service use.
- Requires Cloud Infrastructure – Best suited for companies already using OpenAI’s API ecosystem.
Free
$ 0.00
Standard voice mode
Real-time data from the web with search
Limited access to GPT-4o and o4-mini
Limited access to file uploads, advanced data analysis, and image generation
Use custom GPTs
Plus
$ 20.00
Extended limits on messaging, file uploads, advanced data analysis, and image generation
Standard and advanced voice mode
Access to deep research, multiple reasoning models (o4-mini, o4-mini-high, and o3), and a research preview of GPT-4.5
Create and use tasks, projects, and custom GPTs
Limited access to Sora video generation
Opportunities to test new features
Pro
$ 200.00
Unlimited access to all reasoning models and GPT-4o
Unlimited access to advanced voice
Extended access to deep research, which conducts multi-step online research for complex tasks
Access to research previews of GPT-4.5 and Operator
Access to o1 pro mode, which uses more compute for the best answers to the hardest questions
Extended access to Sora video generation
Access to a research preview of Codex agent
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Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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