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CoreWeave vs Together AI

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

Compared from listings verified as of

CoreWeave

Inference

The AI hyperscaler — GPU cloud built for large-scale training and inference.

View CoreWeave

Together AI

Inference

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

View Together AI

At a glance

Feature comparison of CoreWeave and Together AI
AttributeCoreWeaveTogether AI
CategoryInferenceInference
Pricing (differs)PAIDFREEMIUM
LicenseProprietaryProprietary
DeploymentCloudCloud
Platforms (differs)Web, APIAPI
Model support (differs)Model-agnosticMulti-model
Vendor (differs)CoreWeaveTogether
Capabilities (differs)
  • GPU compute
  • Model inference / serving
  • Fine-tuning / training
  • Model inference / serving
  • Fine-tuning / training
  • Multi-model access
  • GPU compute

The honest brief

CoreWeave

Operates at a scale smaller GPU clouds can't match — first to stand up new NVIDIA generations, with nine of the ten top AI model providers as customers.

  • Frontier-scale GPU capacity
  • First to new NVIDIA generations
  • Managed Kubernetes + observability
  • Contracted by top AI labs
  • Enterprise-oriented; no free tier
  • Less self-serve than smaller GPU clouds
  • Heavy debt-financed expansion

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

When to pick which

Both cover GPU compute, Model inference / serving, and Fine-tuning / training.

Pick Together AI if you need Multi-model access.

  • Multi-model access (secondary capability)

They share capabilities, but each leads with different ones as a headline job:

CoreWeave is built around GPU compute.

  • GPU compute (primary capability)

Together AI is built around Model inference / serving and Fine-tuning / training.

  • Model inference / serving (primary capability)
  • Fine-tuning / training (primary capability)

They also differ on:

Pricing
PAID · FREEMIUM
Platforms
Web, API · API
CoreWeave detailsTogether AI detailsAll Inference apps