Looking for some advice on choosing between Gemini and Llama for my AI project.

Working on a conversational AI project that can dynamically switch between AI models. I have integrated ChatGPT and Claude so far but don’t know which one to choose next between Gemini and Llama.

My evaluation criteria:

• API reliability and documentation quality
• Unique strengths that complement my existing models
• Cost considerations
• Implementation complexity
• Performance on specialized tasks

For those who have worked with both, I’d appreciate insights on:

1. Which model offers more distinctive capabilities compared to what I already have?
2. Implementation challenges you encountered with either
3. Performance observations in production environments
4. If you were in my position, which would you prioritize and why?

Thanks in advance for sharing your expertise!