LLM Comparison for Voice AI

GPT-4o-mini offers the best balance of speed and quality for most voice bots. For complex reasoning (sales, support), GPT-4o or Claude 3.5 Sonnet are better. For high-volume simple tasks, Groq (Llama) is fastest and cheapest.

Very important. Users expect responses within 1-2 seconds. LLM processing is one component - combined with STT and TTS, total latency adds up. GPT-4o-mini and Groq have the lowest LLM latency, crucial for natural conversation.

Yes, each agent can be configured with its own LLM. Use GPT-4o for complex sales calls and GPT-4o-mini for simple status updates. Mix and match based on complexity and budget.

Groq is cheapest (~$0.001/min), followed by GPT-4o-mini (~$0.002/min). Full GPT-4o is ~$0.008/min, Claude 3.5 is ~$0.010/min. For high-volume, the cost difference is significant.

GPT-4o and Claude 3.5 Sonnet produce the most nuanced, human-like responses. GPT-4o-mini is surprisingly good for most tasks. Gemini Pro is strong but slightly less natural in conversation. All are much better than older models.

Yes, we pass full conversation history to the LLM. It knows what was said previously and can maintain context across the call. System prompts can further tune behavior for voice-specific scenarios.

Not mid-call, but you can configure different LLMs for different call flows or agent types. The LLM is set when the call starts and remains consistent throughout.

Voice bots need factual accuracy. Configure LLMs with specific system prompts that limit responses to known information. Use function calling to fetch real data instead of having the LLM guess. Test thoroughly before deployment.