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Koyeb vs Together AI

KoyebTogether AI

Bottom line: Koyeb for aI startups deploying inference; Together AI for cost-conscious teams on open models.

KoyebKoyeb

Serverless cloud with scale-to-zero GPUs for AI inference and apps

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Together AITogether AI

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

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Votes00
PricingFreemiumFreemium
CategoryAi InfrastructureAi Infrastructure
Tags
serverlessgpuinferencescale-to-zerodeployment
inferencefine-tuninggpu-cloudopen-sourcellm-api
Best for
  • AI startups deploying inference
  • Developers wanting autoscaling
  • Cost-conscious GPU users
  • Cost-conscious teams on open models
  • ML teams that fine-tune
  • Startups scaling inference volume
Pros
  • Scale-to-zero saves idle GPU cost
  • Per-second billing
  • Competitive H100 pricing
  • Broad GPU range up to B200
  • Global multi-region deployments
  • 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
  • Flat plan fee on top of usage
  • Not a full hyperscaler feature set
  • GPU availability can vary
  • Less mature ecosystem than AWS/GCP
  • Enterprise controls still maturing
  • 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.