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Cerebras vs Fireworks AI

A side-by-side comparison of Cerebras and Fireworks 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

Fireworks AI

Inference

Fast inference + fine-tuning. Production deployments at scale.

View Fireworks AI

At a glance

Feature comparison of Cerebras and Fireworks AI
AttributeCerebrasFireworks AI
CategoryInferenceInference
PricingFREEMIUMFREEMIUM
LicenseProprietaryProprietary
DeploymentCloudCloud
Platforms (differs)Web, APIAPI
Model supportMulti-modelMulti-model
Vendor (differs)Cerebras SystemsFireworks AI

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

Fireworks AI

Runs open models on its own FireAttention serving stack, tuned for lower latency than off-the-shelf inference runtimes.

  • Custom FireAttention inference stack
  • Vision and audio models, not just text
  • Serverless + dedicated options
  • Fine-tuning supported
  • Usage pricing scales with traffic
  • Open-weights focus, not proprietary frontier
  • Dedicated capacity costs more
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