Innovate with OpenAI GPT-3.5

GPT-3.5 is the perfect balance between speed, accuracy, and cost-efficiency. It is the fastest among the OpenAI's models GPT-4o and GPT-4 Turbo.

Cost comparison to OpenAI

Why Choose GPT-3.5?

GPT-3.5 is a highly capable language model that’s great at understanding and generating text, handling over 50 languages fluently, and helping with coding tasks.

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Advanced Text Understanding
Chat about images
Code Generation & Debugging
Real-time translation
Enhanced Conversational AI
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GPT-3.5 Applications

GPT-3.5 is perfect for creating accurate summaries, crafting creative content, and powering human-like conversations, making it a go-to for things like customer support, business analytics and content creation.

ChatGPT has voice and image capabilities

How to Get an OpenAI API Key with AI/ML API

Sign Up

Begin by signing up on our AI/ML API platform. Create your account to gain access to a wide range of powerful AI models and tools.

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Create API Key

In the Playground, navigate to the Key Management section and click on Create API Key. You can easily activate or deactivate your keys as needed.

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Integrate AI

After creating your API key, you can integrate AI models into your application by following the guidelines provided in our API reference.

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Model Scoring

GPT-3.5 has been evaluated across various performance metrics that highlight its capabilities and limitations in comparison to its successor, GPT-4.

Accuracy Rates

In benchmark tests, GPT-3.5 achieves an accuracy rate of approximately 36.7% on the NEET-2023 exam questions, demonstrating its capability to handle complex queries effectively.

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Enhanced Reasoning
Audio ASR Performance

Cohen's Kappa

For few-shot learning scenarios, GPT-3.5 attained a Cohen's kappa score of 0.70, indicating strong alignment with human-level performance (considered around 0.75) in various tasks.

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Recall and Precision

In comparative studies, GPT-3.5 prioritizes quality over quantity, often providing more selective outputs. While its recall rate may be lower than GPT-4, it consistently maintains strong precision, making it a reliable choice for tasks where accuracy is key.

Audio Translation Performance
Vision Understanding Evals

Generative Tasks

In generative tasks such as text summarization and simplification, GPT-3.5 demonstrates strong capabilities, often producing outputs comparable to other models like LLaMA.

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