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OpenRouter vs Together AI

OpenRouterTogether AI

Bottom line: OpenRouter for developers building multi-model apps; Together AI for cost-conscious teams on open models.

OpenRouterOpenRouter

One API for hundreds of AI models across providers.

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Together AITogether AI

Inference, fine-tuning, and GPU clusters for open models.

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Votes00
PricingFreemiumFreemium
CategoryCodingCoding
Tags
llm-apimodel-routingaggregatormulti-provideropenai-compatible
inferencefine-tuninggpu-cloudopen-sourcellm-api
Best for
  • Developers building multi-model apps
  • Teams comparing models
  • Agent builders needing routing
  • Cost-conscious teams on open models
  • ML teams that fine-tune
  • Startups scaling inference volume
Pros
  • 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
  • Large catalog of open and open-weight models
  • Competitive per-token pricing
  • Fine-tuning with weight ownership
  • Dedicated GPU clusters for scale
  • OpenAI-compatible API
Cons
  • 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
  • Broad pricing surface across several product lines
  • You own quality and safety evaluation of open models
  • Dedicated clusters require commitment and planning
  • Less turnkey than closed frontier APIs
  • Model catalog and prices change over time

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