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DeepInfra vs Groq

DeepInfraGroq

Bottom line: DeepInfra for cost-sensitive developers; Groq for developers building latency-sensitive apps.

DeepInfraDeepInfra

Cheapest serverless inference for open-source LLMs, pay per token

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GroqGroq

Very fast LLM inference on custom LPU hardware.

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Votes00
PricingPaidFreemium
CategoryAi InfrastructureAi Infrastructure
Tags
serverless-inferencellm-apiopen-source-modelsgpu-rentalpay-per-token
inferencellm-apilow-latencyopen-sourcehardware
Best for
  • Cost-sensitive developers
  • Startups scaling inference
  • Batch workloads
  • Developers building latency-sensitive apps
  • Teams running AI agents
  • Voice and real-time product builders
Pros
  • Among the lowest per-token prices
  • Pay only for tokens, no idle charges
  • OpenAI-compatible API for easy migration
  • Discounted batch inference
  • Latency tiers to trade cost vs speed
  • 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
  • Focused on open-source, not proprietary models
  • No free plan
  • Latency and reliability vary by tier
  • Fewer enterprise features than large clouds
  • No self-hosting
  • 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

Comparison generated from each tool's listing. Add or remove tools above to change it.