Based on the search results, here is a compiled list of features offered by OpenAI, Anthropic, and Google, focusing on API capabilities, customization options, and scalability.

### OpenAI
- **API Capabilities**: OpenAI provides a robust API that allows developers to integrate its models into applications easily. The API supports various endpoints for different functionalities, including text generation, image generation, and more.
- **Customization Options**: OpenAI offers fine-tuning capabilities for its models, allowing users to tailor the model's behavior and output to specific needs. Users can adjust parameters and settings to optimize performance for particular tasks.
- **Scalability**: OpenAI's infrastructure is designed to scale with demand, supporting a wide range of applications from small projects to large-scale enterprise solutions. The pay-as-you-go pricing model allows users to scale their usage based on their needs without upfront commitments.

### Anthropic
- **API Capabilities**: Anthropic provides an API that emphasizes safety and alignment in AI interactions. The API is designed for ease of use and includes features for conversational AI and other natural language processing tasks.
- **Customization Options**: Anthropic focuses on user-friendly customization, allowing developers to set parameters that influence the model's responses. This includes options for tone, style, and specific content guidelines.
- **Scalability**: Anthropic's services are built to handle varying loads, making it suitable for both small-scale applications and larger enterprise deployments. The company emphasizes responsible AI usage, which can be a consideration for scaling.

### Google
- **API Capabilities**: Google offers a comprehensive suite of APIs through its Google Cloud AI services, including natural language processing, translation, and vision capabilities. These APIs are well-documented and integrate seamlessly with other Google Cloud services.
- **Customization Options**: Google provides tools for model training and customization, including AutoML, which allows users to create custom models tailored to their specific datasets and requirements.
- **Scalability**: Google Cloud's infrastructure is highly scalable, supporting a vast number of concurrent users and high-volume data processing. The pricing model is flexible, allowing businesses to scale their usage according to their needs.

### Summary
- **OpenAI**: Strong API capabilities, fine-tuning for customization, and scalable infrastructure with a pay-as-you-go model.
- **Anthropic**: Focus on safety in API interactions, user-friendly customization, and scalable solutions for responsible AI usage.
- **Google**: