Large Language Models
The language model is the brain of a voice agent — it interprets what a caller says and works out how to reply. Vomyra lets you swap between models without touching your agent setup, so you can tune each assistant for speed, cost or reasoning depth independently.
7 large language models integrations
Native, production-ready connections — no glue code required.
OpenAI
GPT models
GPT-4o and GPT-4o mini power fast, accurate understanding on every call. Bring your own key and tune the balance of latency versus depth.
Meta
Llama models
Meta's open-weight Llama models bring strong multilingual reasoning you can run at low cost for high-volume voice automation.
Vomyra
In-house models
Vomyra's own models are tuned end-to-end for low-latency voice, so agents understand callers and respond with minimal delay out of the box.
xAI
Grok models
xAI's Grok models add fast, up-to-date reasoning for agents that need current context and a conversational edge.
Anthropic
Claude models
Claude holds long, policy-heavy scripts without drifting — the model to reach for when an agent has to stay exactly on-message.
Groq
LPU inference
Groq serves open-weight models on custom LPUs at speeds GPUs do not reach, collapsing the think-time between a caller finishing and the agent replying.
Mistral
Efficient open models
European open-weight models with a strong quality-to-cost ratio, and small enough to self-host when data has to stay inside your own perimeter.
What this layer does for your agent
Swap models freely
Change the model behind an agent without rewriting prompts or reconfiguring the flow.
Bring your own key
Use your own provider API keys so usage bills directly to your account at cost.
Tune for the job
Pick low-latency models for quick FAQs and deeper reasoners for complex, policy-heavy calls.
Large Language Models questions
Can I change the model later?
Anytime. Because the model is decoupled from the agent, you can move from one model to another in seconds and A/B test which performs best on live calls.
Which model is best for Indian languages?
Vomyra's in-house models are tuned for Indian and code-mixed Hinglish calls, while frontier models like OpenAI's GPT-4o and Meta's Llama handle multilingual conversations well.
Does model choice affect latency?
Yes. Faster models and providers like Groq reduce the pause before a reply, which matters a lot in natural voice conversations.