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Deepgram vs Argentic

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Deepgram compared with Argentic
DetailDeepgram logo DeepgramArgentic logo Argentic
What it doesEnterprise Voice AI platform for Speech-to-Text, Text-to-Speech, and Voice Agents An engine for long-running agents that rebuilds its prompt under a cap and runs on your budget
StageEstablished MVP
Founded2015 Not given
Based inUS Not given
Pricing modelFreemium Freemium
PricingFlux STT Streaming: $0.0065/min (Pay As You Go), $0.0057/min (Growth); Flux Multilingual Streaming: $0.0078/min (Pay As You Go), $0.0068/min (Growth); Nova-3 Monolingual Streaming: $0.0048/min (Pay As You Go), $0.0042/min (Growth); Nova-3 Multilingual Streaming: $0.0058/min (Pay As You Go), $0.0050/ Prototype: free during beta, then from December 16, 2026 it costs $1 per 1,000 agent calls after 1,000 monthly included calls. Production: $20 a month with 20,000 agent calls included, then $1 per 1,000 calls after that. Top-ups: $1 per 1,000 calls, from $10 to $500 at a time, never expiring.
Key features
  • Flux STT with turn detection and interruption handling
  • Nova-3 multilingual speech recognition in 50+ languages
  • Ultra-low latency under 300 milliseconds
  • Keyterm prompting with up to 90% higher keyword recall
  • Flux TTS with latency as low as 80ms
  • Speaker diarization and multi-speaker audio detection
  • Smart formatting with automatic punctuation and capitalization
  • Automatic redaction of sensitive information
  • Custom models for edge-case scenarios
  • Flexible deployment options: cloud, in-VPC, or self-hosted
  • Prompt rebuilt from journal under token cap at each step to keep it bounded as history grows
  • Spending limits checked before each model call at token prices you declare
  • Resume after crash without repeating finished actions
  • Tool calls returned as actions for your code to carry out
  • Proof of what ran: check prompts, re-run engine, download hash-chained journal
  • Integrations with Vercel AI SDK, OpenAI Agents SDK, LangGraph, Mastra, Pydantic AI
  • MCP server for Claude Code, Claude Projects and Codex
  • Works with any model via bring-your-own-key
  • TypeScript and Python clients for HTTP API access
What makes it different
  • Conversation-aware speech platform with native turn-taking detection and interruption handling
  • Unified single API combining STT, TTS, and LLM orchestration to reduce complexity and latency
  • Flux TTS that thinks before speaking to maintain tone and expression across conversations
  • Enterprise-grade accuracy with custom vocabulary injection and industry-tuned models
  • Foundational AI company with research-driven innovation and continuous model improvements
  • Bounded prompt under a fixed cap while history grows, so costs per call stop climbing on long sessions
  • Every run recorded with cryptographic proof: rebuilable prompts, hash-chained journal, re-runnable engine
  • Resumes from crash without repeating finished actions using stable idempotency keys
  • Budget enforcement before each model call, not reactive overage billing
  • No model key storage or logging; your provider bills you directly
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)81 no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)230
Citation Flow (Majestic)519
Referring domains (Majestic)77614

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