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Deepgram vs GitMir

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 GitMir
DetailDeepgram logo DeepgramGitMir logo GitMir
What it doesEnterprise Voice AI platform for Speech-to-Text, Text-to-Speech, and Voice Agents AI model of your product's business logic accessible to people and AI agents
StageEstablished Not given
Founded2015 Not given
Based inUS GB
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/ Free: 10,000 starting credits plus 1,000 per month. Engineering: $29 per active developer per month with 30,000 pooled credits each month. GitMir Vibe: $9 per person per month. Cloud Compute: $99 per project per month. MeetAI: $49 per project per month. GoBots: $99 per venture per month. Market: $49
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
  • Builds features, rules and customer paths and keeps them current with every push
  • Shows what each commit changed in the business logic, not only in the code
  • Provides change impact analysis before merge showing what could break
  • Checks PRDs and specifications against the product
  • Delivers understanding to AI agents over MCP
  • Runs locally on your machine with GMM Local
  • Finds risky patterns and problems in the product
  • Enterprise deployment inside your security boundary
  • Integrates with Claude Code, Cursor, Codex and VS Code
  • MCP access for agents with 1-10 credits per answer
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
  • Nearly 3× fewer errors on Benchmark 001 compared to alternatives
  • 8.4K tokens per question instead of 27.4K for competitors
  • Results published and measurable; method is proprietary
  • Reduces AI cost per completed agent action from $0.35 to $0.08
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 check27 no change since last check
Trust Flow (Majestic)233
Citation Flow (Majestic)5128
Referring domains (Majestic)776150

6 details filled in for both companies.

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