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DeepInfra vs OpenRouter

DeepInfraOpenRouter

Bottom line: DeepInfra for cost-sensitive developers; OpenRouter for developers building multi-model apps.

DeepInfraDeepInfra

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

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OpenRouterOpenRouter

One API for hundreds of AI models across providers.

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Votes00
PricingPaidFreemium
CategoryAi InfrastructureAi Infrastructure
Tags
serverless-inferencellm-apiopen-source-modelsgpu-rentalpay-per-token
llm-apimodel-routingaggregatormulti-provideropenai-compatible
Best for
  • Cost-sensitive developers
  • Startups scaling inference
  • Batch workloads
  • Developers building multi-model apps
  • Teams comparing models
  • Agent builders needing routing
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
  • One API for hundreds of models
  • Automatic fallbacks improve resilience
  • Price and latency routing
  • Consolidated billing across providers
  • Transparent per-model pricing and usage rankings
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
  • Adds a middleman to your inference path
  • Roughly 5% markup over upstream prices
  • Latency depends on upstream providers
  • You route keys and traffic through a third party
  • Going direct can be cheaper for a single high-volume model

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