Transcription models.

Deepgram Base model — high volume, cost-effective

AssemblyAI's best transcription model

Google's latest generative ASR foundation model — 85+ languages

Optimized for short queries and voice commands

General-purpose model

Deepgram Enhanced model — high accuracy for uncommon words

Highest accuracy model — 55+ languages, best-in-class

First conversational ASR model built for voice agents — model-integrated endpointing

Realtime model — batch benchmarks not applicable

GPT-4o Mini optimized for fast transcription

GPT-4o optimized for transcription with improved WER

GPT-4o transcription with built-in speaker diarization

Whisper rearchitected for real-time and batch voice AI — fastest TTCT, 99-language coverage

Conformer model for long-form audio (minutes to hours)

Conformer model for short utterances (< 60s)

Deepgram's Nova-2 speech recognition

Optimized for human-to-bot interactions (IVR, voice assistants)

Optimized for earnings calls with finance vocabulary

Optimized for conference room audio

Optimized for low-bandwidth phone call audio

Optimized for low-bandwidth single speaker voicemail

Deepgram's flagship model — 53% lower WER vs competitors, code-switching support

State-of-the-art batch STT — 90+ languages, speaker diarization, audio tagging

Most accurate low-latency STT — <150ms, 90+ languages

Realtime model — batch benchmarks not applicable

Cost-effective model — fast turnaround, 55+ languages

Optimized for telephony audio (8kHz)

AWS foundation model-powered ASR — 100+ languages

Medical transcription with HIPAA eligibility

AssemblyAI's most powerful speech language model — up to 1000 keyterm phrases

Purpose-built for real-time voice agents — ~300ms immutable transcripts

Realtime model — batch benchmarks not applicable

Multilingual streaming STT — English, Spanish, French, German, Italian, Portuguese

Realtime model — batch benchmarks not applicable

OpenAI's Whisper API model

OpenAI's Whisper large-v3 model