What is ParallelGPT?
ParallelGPT is a powerful AI tool providing batch processing and low-code workflow solutions. Users can bulk process tasks using ChatGPT through a spreadsheet interface with CSV/JSON import/export without querying one-by-one. It supports multiple AI models like OpenAI GPT-4, Claude 3, and Gemini. Designed for low-code environments, users can create and tweak AI workflows using ready-made templates, integrating their own logic with ease. Secure data management is ensured via storage on the user's Google Cloud project. The platform is free to start, offering extensive features like API creation and scheduled jobs.
ParallelGPT's Top Features
Key capabilities that make ParallelGPT stand out.
Batch processing with ChatGPT
Low-code AI workflow creation
Supports multiple AI models (GPT-4, Claude 3, etc.)
Secure data management on Google Cloud
No-code to full coding extensibility
Ready-made templates for easy setup
One-click API creation and scheduling
Team collaboration with granular access control
Free to start
CSV/JSON import and export
ParallelGPT's pricing
Key Details
- Category
- Automation
- Pricing Model
- Freemium
- Website
- Visit ParallelGPT
- Last Updated
- August 8, 2024
Tags
Category
About the Maker
The organization behind ParallelGPT.
Creating safe AGI that benefits all of humanity
AI Models by OpenAI
Large language models from the same organization.
| Model | Context Window | Price (In / Out per M) |
|---|---|---|
| GPT-5.4Current | 1.1M | $2.50 / $15.00 |
| GPT-5.3 CodexCurrent | 400K | $1.75 / $14.00 |
| o3Current | 200K | $10.00 / $40.00 |
| GPT-4o miniCurrent | 128K | $0.15 / $0.60 |
| GPT-4oCurrent | 128K | $2.50 / $10.00 |
| GPT-5 | 400K | $1.25 / $10.00 |
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Use Cases
Who benefits most from this tool.
Developers
Creating and managing secure APIs and backend workflows with ease.
Data Scientists
Batch processing data with various AI models in parallel.
Project Managers
Coordinating team efforts while ensuring data security and access control.
Educators
Integrating AI models into educational tools and resources.
Startups
Rapidly prototyping and deploying AI-driven solutions without extensive coding.
Enterprise Teams
Managing complex AI workflows and bulk processing tasks at scale.
Freelancers
Offering AI services and automated solutions to clients.
Product Managers
Designing and implementing AI features in products efficiently.
IT Administrators
Ensuring secure and efficient data handling and storage.
Marketing Teams
Analyzing large datasets and creating marketing models powered by AI.