Based on the compiled data regarding OpenAI, Anthropic, and Google for their LLM inference services, here is a detailed analysis of their strengths, weaknesses, and unique selling points:

### OpenAI
- **Strengths**:
  - **Pricing**: OpenAI offers a flexible pay-as-you-go pricing model, which can be attractive for businesses with varying usage needs.
  - **API Capabilities**: Known for its robust API, OpenAI provides extensive documentation and support, making integration easier for developers.
  - **Market Reception**: Generally receives positive user reviews, particularly for its advanced language understanding and generation capabilities.

- **Weaknesses**:
  - **Cost**: While the pay-as-you-go model is flexible, costs can escalate quickly with high usage, potentially making it less appealing for larger enterprises.
  - **Customization**: Limited customization options compared to some competitors, which may restrict specific use cases.

- **Unique Selling Points**:
  - Strong brand recognition and a large user community, which can facilitate knowledge sharing and support.

### Anthropic
- **Strengths**:
  - **Focus on Safety**: Anthropic emphasizes AI safety and alignment, appealing to organizations concerned about ethical AI use.
  - **User-Centric Design**: Their models are designed with user feedback in mind, which can lead to more intuitive interactions.

- **Weaknesses**:
  - **Market Presence**: As a newer player in the market, Anthropic may lack the extensive ecosystem and integrations that OpenAI and Google offer.
  - **Limited Features**: Fewer features compared to more established competitors, which may limit its appeal for certain applications.

- **Unique Selling Points**:
  - Strong commitment to AI safety and ethical considerations, which can be a significant differentiator for organizations prioritizing responsible AI use.

### Google
- **Strengths**:
  - **Integration with Google Services**: Seamless integration with other Google Cloud services can enhance user experience and functionality.
  - **Scalability**: Google’s infrastructure allows for high scalability, making it suitable for large enterprises with significant data processing needs.

- **Weaknesses**:
  - **Complex Pricing Structure**: Google’s pricing can be complex and less transparent, which may deter some potential users.
  - **User Experience**: Some users report a steeper learning curve when integrating Google’s services compared to OpenAI.

- **Unique Selling Points**:
  - Extensive