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LMNT vs Groq

LMNTGroq

Bottom line: LMNT for teams building real-time voice agents; Groq for developers building latency-sensitive apps.

LMNTLMNT

Ultra low-latency text-to-speech for developers

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GroqGroq

Very fast LLM inference on custom LPU hardware.

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Votes00
PricingFreemiumFreemium
CategoryVoice GenerationAi Infrastructure
Tags
text-to-speechlow-latencyvoice-cloningapireal-time-voice
inferencellm-apilow-latencyopen-sourcehardware
Best for
  • Teams building real-time voice agents
  • Latency-sensitive conversational AI
  • Interactive apps needing instant speech
  • Developers building latency-sensitive apps
  • Teams running AI agents
  • Voice and real-time product builders
Pros
  • Very low latency (~150-200 ms) streaming
  • Fast voice cloning from short recordings
  • Roughly 24 languages supported
  • Developer-friendly, scalable API
  • Enterprise options remove concurrency/rate limits
  • Exceptional inference speed on supported models
  • Competitive per-token pricing
  • OpenAI-compatible API is easy to adopt
  • Free tier with no credit card
  • Good fit for agents and real-time apps
Cons
  • Developer-only; not a finished consumer app
  • Smaller voice catalog than the largest TTS brands
  • Fewer languages than some multilingual leaders
  • No self-hosted option
  • Public funding and company details are limited
  • Limited to a curated catalog of open models
  • No hosting of arbitrary custom weights
  • Model lineup changes over time
  • Corporate turbulence in 2026 (Nvidia deal, down round)
  • Free-tier rate limits are modest

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