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Baseten vs Groq

BasetenGroq

Bottom line: Baseten for production ML and AI teams; Groq for developers building latency-sensitive apps.

BasetenBaseten

Deploy and scale ML models in production inference.

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GroqGroq

Very fast LLM inference on custom LPU hardware.

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Votes00
PricingPaidFreemium
CategoryAi InfrastructureAi Infrastructure
Tags
inferencemodel-deploymentgpu-cloudautoscalingenterprise
inferencellm-apilow-latencyopen-sourcehardware
Best for
  • Production ML and AI teams
  • Companies serving custom models
  • Teams needing autoscaling and observability
  • Developers building latency-sensitive apps
  • Teams running AI agents
  • Voice and real-time product builders
Pros
  • Strong production and performance engineering focus
  • Truss simplifies model packaging
  • Autoscaling with fast cold starts
  • Supports custom and fine-tuned models
  • Observability and monitoring built in
  • 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
  • No permanent free plan
  • More infrastructure than turnkey API
  • GPU-based pricing needs careful cost modeling
  • Overkill for small or hobby projects
  • Requires ML/deployment familiarity
  • 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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