OPT

Models Updated Feb 11, 2026

Compared with 18 other Models agents Updated Feb 2026

💰 Open Source 🔄 Updated Feb 2026

💰 Pricing

Open Source

Pricing not publicly listed (open-source model).

🎯 Use Cases

Text generation for chatbots and virtual assistants Automated content creation (e.g., articles, summaries) Language translation and paraphrasing Research in large-scale language model behavior

⚖️ Pros & Cons

✅ Pros

Open-source and accessible for research and development
Pre-trained on large datasets, reducing training time
Scalable with various model sizes (e.g., OPT-350m to OPT-175B)

❌ Cons

Requires significant computational resources for larger models
May inherit biases present in training data
Limited fine-tuning documentation compared to some proprietary models

Overview

OPT (Open Pretrained Transformers) is a suite of decoder-only pre-trained transformer models developed by Facebook, designed for text generation tasks. The models, such as OPT-350m, are trained on large datasets to perform natural language processing (NLP) tasks efficiently. They are part of a broader effort to advance open research in large-scale language models.

Problem It Solves

Provides accessible, pre-trained transformer models for text generation and NLP tasks, reducing the need for organizations to train models from scratch.

Target Audience: Developers and teams working with models automation.

Inputs

• User configuration
• API credentials (if required)
• Task parameters

Outputs

• Automated task results
• Status reports
• Generated content or actions

Example Workflow

1 User configures the agent with required parameters
2 Agent receives input data or trigger
3 Agent processes the request using its core logic
4 Agent interacts with external services if needed
5 Results are returned to the user

Sample System Prompt


              You are OPT, an AI assistant. Help the user accomplish their task efficiently.

Tools & Technologies

Not publicly specified

Alternatives

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FAQs

Is this agent open-source?: Not publicly specified
Can this agent be self-hosted?: Not publicly specified
What skill level is required?: Intermediate

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