Q: What types of models does OpenRouter support?

A: OpenRouter supports a wide range of large language models (LLMs) from various providers, including text generation, embeddings, and chat models.

Q: How does OpenRouter handle model pricing?

A: OpenRouter acts as a reseller, passing through the costs of the underlying models, often with competitive rates. You pay for usage based on tokens.

Q: Can I use my own API keys with OpenRouter?

A: No, OpenRouter manages the API keys for the underlying models. You use a single OpenRouter API key.

Q: Does OpenRouter offer a free tier?

A: OpenRouter provides a small amount of free credits upon signup, but it's primarily a pay-as-you-go service.

Q: What are the main benefits of using OpenRouter over direct integration?

A: Simplified integration, access to diverse models, cost management, and the ability to easily switch models without code changes.

OpenRouter

OpenRouter provides a unified API to access a wide range of large language models (LLMs) from various providers with a single integration.

Price: Freemium

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Description

OpenRouter acts as a universal API gateway, allowing developers to integrate with over 100 different AI models, including popular ones like GPT-4, Claude, and Llama, through a single, consistent interface. Its main use case is simplifying LLM integration for applications, enabling developers to easily switch models, compare performance, and manage costs without rewriting code for each provider. It targets developers, startups, and enterprises building AI-powered applications, offering a competitive edge through its model diversity, unified API, and cost optimization features. OpenRouter stands out by abstracting away the complexities of multiple model APIs into one, making advanced AI more accessible and manageable for development teams.

How to Use

1.Sign up for an OpenRouter account and generate an API key from your dashboard.

2.Browse the available models and select the ones you want to use for your application.

3.Integrate the OpenRouter API into your application using their provided SDKs or direct HTTP requests.

4.Send prompts and data to the chosen models via the OpenRouter API endpoint.

5.Receive and process the model's responses within your application, leveraging OpenRouter's unified output format.

Use Cases

Building AI chatbotsDeveloping content generation toolsIntegrating multiple LLMs into a single applicationA/B testing different modelsManaging LLM costsPowering AI agents

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