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Compare AI models for voice conversations. See how GPT-4, Claude, and Gemini perform on voice-specific tasks with latency and cost analysis.
Test different LLMs with voice conversation prompts
Customer Says:
"Hi, I placed an order 3 days ago and it still hasn't arrived. Can you tell me what's going on?"
Selected: 2/3
Fastest
Groq (85ms)
Best Quality
GPT-4o
Best Value
GPT-4o-mini
Most Natural
Claude 3.5
Detailed look at each AI model for voice
OpenAI's Flagship
The most capable model for complex voice interactions. Excellent at understanding nuance, handling edge cases, and generating natural conversational responses. Ideal for sales, complex support, and high-value interactions.
Latency
~400ms
Cost
$0.008/min
Best For
Complex Tasks
Fast & Affordable
Excellent balance of speed, quality, and cost. Surprisingly capable for most voice tasks. Our recommended default for production voice bots. Fast enough for natural conversation flow.
Latency
~200ms
Cost
$0.002/min
Best For
General Use
Anthropic's Best
Known for natural, conversational tone. Excellent at following instructions precisely. Strong reasoning capabilities. Great for customer service where empathy and helpfulness matter.
Latency
~350ms
Cost
$0.010/min
Best For
Support, Empathy
Ultra-Fast & Cheap
The fastest inference available, running on Groq's custom hardware. Running Llama 3 70B with sub-100ms latency. Perfect for high-volume, simpler use cases where speed and cost matter most.
Latency
~80ms
Cost
$0.001/min
Best For
High Volume
Best LLM for common voice AI use cases
Order Status / Reminders
GPT-4o-mini or Groq
Simple, structured tasks. Speed and cost matter more than nuance.
Sales / Lead Qualification
GPT-4o
Complex conversation handling, objection handling, persuasion.
Customer Support
Claude 3.5 Sonnet
Natural empathy, clear explanations, helpful tone.
High-Volume Campaigns
Groq (Llama)
Lowest cost per call, fastest response, good enough quality.
Healthcare / Finance
GPT-4o
Accuracy critical, complex domain knowledge needed.
General Purpose
GPT-4o-mini
Best all-rounder for most voice bot deployments.
Common questions about AI models for voice
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.
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