Provider model lineups change frequently. The specific model names here are current examples — always check the relevant LLM provider page or the provider’s own docs for the latest recommended model.
Quick Decision Guide
Transcribers (speech-to-text)
Language support is the primary selection factor — most transcribers are optimized for specific language families.
Key settings:
endpointing (silence detection), language (always set explicitly — auto-detection adds latency), encoding / sampling_rate (must match your telephony provider).
LLMs (language models)
Quality tier and latency are the primary selection factors. See each provider’s page for current model names.
LLM provider pages:
OpenAI
GPT-5.4-mini, GPT-5.4, GPT-5.5
Anthropic
Claude Sonnet 5, Haiku 4.5, Opus 4.8
Google Gemini
Gemini 2.5 Flash, Gemini 3.x
Azure OpenAI
GPT-5.x via Azure infrastructure
DeepSeek
DeepSeek V4 Flash, V4 Pro
OpenRouter
Unified gateway — all providers
Synthesizers (text-to-speech)
Latency and language are the primary selection factors. Always enablestream: true.
Key settings:
stream: true (always enable), buffer_size (100–250 chars typical), audio_format (must match your telephony provider).