Stop guessing which AI models to combine. These five proven voice AI configurations help you optimize for cost, latency, compliance, multilingual support, or premium quality from day one.
Voice AI is transforming customer interactions, but there's a common problem: most businesses don't know where to start. With dozens of language models, multiple speech-to-text engines, and various text-to-speech options available, the configuration possibilities are overwhelming. Do you prioritize cost or quality? Which models work best together? How do you avoid expensive trial-and-error experimentation?
Rather than fumbling through endless combinations or settling for default configurations that may not fit your needs, smart businesses are using proven optimization templates. These pre-tested combinations give you a running head start, eliminating guesswork and providing immediate direction based on your core business priorities.
After analyzing hundreds of voice AI deployments and working with enterprises across industries, we've identified five optimization strategies that cover the most common business requirements. Each template involves specific choices around language models (LLMs), speech-to-text (STT), and text-to-speech (TTS) engines that work well together.
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Most voice AI platforms force you into rigid setups or complex vendor orchestration. Telnyx takes a different approach: we give you access to leading models and engines through a single platform, then let you optimize the stack for your specific needs. Want premium audio quality? There's a template for that. Operating on tight margins? We have a cost-optimized combination ready to deploy.
The beauty is in the flexibility. You can start with one optimization template and swap components as your needs evolve, all without rebuilding your entire system. And because everything runs on Telnyx's owned infrastructure, you get consistent performance regardless of which models you choose.
Recommended Stack:
LLM: meta-llama/Llama-3.3-70B-Instruct
STT: Deepgram Nova 3
TTS: Rime Arcana V3
Llama 3.3 natively supports 8 major languages (English, French, Spanish, German, Italian, Portuguese, Hindi, and Thai) with 70 billion parameters providing the nuanced understanding needed for cross-cultural conversations.
The real magic happens with Rime Arcana V3's code-switching capability. Your agent can start a conversation in English, seamlessly switch to Spanish when a customer prefers it, then back to English, all within the same call, using the same voice. No jarring transitions or robotic announcements about language changes.
Deepgram Nova 3 provides the accuracy needed to correctly transcribe multilingual conversations, even when customers mix languages or have strong accents.
Any business can use this stack to better connect with customers. For example, a global e-commerce company can deploy this stack for customer support. When a customer calls about a delayed shipment and says "Mi pedido no ha llegado," the agent immediately switches to Spanish, and resolves the issue, creating a naturally bilingual experience that feels effortless.
Recommended Stack:
LLM: Groq/llama-4-maverick-17b-128e-instruct (free tier)
STT: Telnyx STT (included in base pricing)
TTS: Telnyx NaturalHD (included)
This configuration runs at Telnyx's base rate of $0.05 per minute with no additional charges for the LLM or speech processing. Yet you're getting Llama-4 Maverick's advanced reasoning capabilities, which would cost significantly more on other platforms.
Telnyx STT is Whisper-based with support for 100+ languages and included in your base pricing. Telnyx NaturalHD provides professional-quality voice synthesis without per-minute TTS charges. The savings compound quickly: a business handling 10,000 minutes monthly saves $500 to $2,000 compared to equivalent premium configurations.
Need even better economics at scale? Volume discounts on STT and TTS are available for committed usage.
As an example, a growing SaaS company can use this stack to handle customer onboarding calls. At 50,000 minutes per month, they're paying $2,500 total instead of the $8,000+ they were quoted by competitors, allowing them to scale AI support without breaking their customer acquisition budget.
Recommended Stack:
LLM: google/gemini-2.5-flash-lite
STT: Deepgram Flux
TTS: Telnyx NaturalHD
Latency optimization strategy:
Gemini Flash Lite is specifically optimized for speed while maintaining intelligence, with massive 1M+ context windows for complex conversations. It's designed for real-time scenarios where inference speed matters more than maximum reasoning depth.
Deepgram Flux excels at turn detection, knowing when customers finish speaking versus when they're just pausing to think. This prevents the agent from interrupting mid-thought, which paradoxically makes conversations feel faster even though the agent waits for proper completion signals.
Telnyx NaturalHD is edge-hosted, meaning zero network hops between text generation and audio synthesis. Audio processing happens on the same infrastructure handling your call, eliminating external API latency.
Recommended Stack:
LLM: anthropic/claude-sonnet-4-20250514
STT: Deepgram Nova 3
TTS: Telnyx NaturalHD
Claude Sonnet provides enterprise-grade safety controls and reasoning capabilities, with Anthropic's constitutional AI approach reducing hallucination risks in sensitive contexts. It's designed for scenarios where accuracy and safety matter more than pure speed.
Deepgram maintains enterprise-grade protocols and complies with PCI, SOC 2, and HIPAA. For maximum compliance rigor, Deepgram also offers a Dedicated tier with single-tenant, fully isolated infrastructure, which is ideal for heavily regulated industries.
Telnyx NaturalHD enables in-region processing, keeping voice data within required jurisdictions by architecture, not just configuration. Combined with Telnyx's SOC 2 Type II, HIPAA, PCI, ISO, and GDPR certifications, you get a fully compliant stack under a single data boundary.
Businesses can also anchor their Voice AI to specific regions (EU, Australia, etc.) to meet data residency requirements. Telnyx gives you control over where data travels during calls, and not just where it's stored.
For example, a telehealth provider can use this stack for patient intake calls. When patients provide medical history or insurance details, every component meets HIPAA requirements, with conversation data processed in-region and automatically purged per retention policies.
Recommended Stack:
LLM: openai/gpt-4o
STT: Deepgram Nova 3
TTS: MiniMax
GPT-4o excels at understanding context and emotional nuance, generating responses that match the sophistication your premium customers expect. Its tool usage capabilities seamlessly integrate with CRM systems to provide personalized experiences based on customer history.
Deepgram Nova 3 provides the highest accuracy for speech recognition, correctly capturing customer names, account numbers, and complex requests on the first try. No "could you repeat that?" moments that break premium experience flow.
MiniMax delivers natural clarity with premium detail, built for real-time scenarios where subtlety matters. The voice quality includes emotional range and tonal variation that sounds genuinely human, not synthetic.
HD Voice codecs and AI-powered noise suppression filter out background noise before it reaches your STT engine, so customer names, account numbers, and key details are captured accurately the first time. Crystal-clear audio is the foundation of great customer experience.
This stack has diverse applications. A high-end jewelry brand can use this stack for appointment scheduling and customer service. When VIP customers call about custom pieces or exclusive events, the premium audio quality matches their $50K+ purchase experience.
| Optimization | LLM | STT | TTS | Best For |
|---|---|---|---|---|
| Multilingual | Llama 3.3 70B | Deepgram Nova 3 | Rime Arcana V3 | Global customer bases |
| Cost-Optimized | Llama-4 Maverick (free) | Telnyx STT | Telnyx NaturalHD | High-volume, budget-conscious |
| Ultra-Low Latency | Gemini 2.5 Flash Lite | Deepgram Flux | Telnyx NaturalHD | Real-time conversations |
| Compliance-First | Claude Sonnet 4 | Deepgram Nova 3 | Telnyx NaturalHD | Healthcare, finance, regulated |
| Premium Quality | GPT-4o | Deepgram Nova 3 | MiniMax | VIP customers, luxury brands |
Begin with cost-optimization if you're testing voice AI or operating on tight margins
Upgrade specific components as your needs become clear, so you're not locked into any single configuration
A/B test configurations using Telnyx's simulation tools before rolling changes to production
Monitor performance metrics through the unified dashboard to optimize based on real usage data
Unlike platforms that require complete rebuilds when changing providers, Telnyx lets you swap any component (LLM, STT, or TTS) without touching your application code. Test Deepgram vs. Telnyx STT for latency. Try MiniMax vs. Telnyx NaturalHD for audio quality. Your voice AI adapts as your business grows.
Voice AI configuration isn't about finding the "best" setup: it's about finding the right setup for your specific business needs. Whether you're optimizing for cost, latency, compliance, language support, or premium experience, the key is choosing components that work together to deliver on your core priorities.
The flexibility to optimize and re-optimize means you can start with one template and evolve as your business grows, customer expectations change, or new capabilities become available. That's the difference between buying a voice AI product and building on a voice AI platform.
