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Cerebras vs Together AI

A side-by-side comparison of Cerebras and Together AI, two Inference tools, drawn from Ignaite's continuously-verified listings.

Compared from listings verified as of

Cerebras

Inference

Wafer-scale inference cloud for open models.

View Cerebras

Together AI

Inference

Hosted inference and fine-tuning for open-weights models.

View Together AI

At a glance

Feature comparison of Cerebras and Together AI
AttributeCerebrasTogether AI
CategoryInferenceInference
PricingFREEMIUMFREEMIUM
LicenseProprietaryProprietary
DeploymentCloudCloud
Platforms (differs)Web, APIAPI
Model supportMulti-modelMulti-model
Vendor (differs)Cerebras SystemsTogether

The honest brief

Cerebras

Wafer-scale CS-3 hardware tops every rival on tokens/sec — fastest pure throughput for agent loops.

  • Highest tokens/sec in the market
  • Low time-to-first-token (~80-150ms)
  • 2-3x faster end-to-end in agent loops
  • OpenAI-compatible API, free daily tier
  • Smaller model catalog than Groq/Together
  • Less mature ecosystem and client libs
  • Occasional capacity limits under demand

Together AI

One stop for the open-model stack: hundreds of open-weights models served plus both LoRA and full fine-tuning.

  • LoRA and full fine-tuning
  • Competitive inference-at-scale pricing
  • OpenAI-compatible API
  • Dedicated endpoints + GPU clusters
  • Open models only, no frontier closed models
  • Less specialized than single-model hosts
  • Throughput varies by model demand