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Cohere vs Together AI

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

Compared from listings verified as of

Cohere

Inference

Enterprise-grade LLMs, embeddings, and retrieval built for private deployment.

View Cohere

Together AI

Inference

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

View Together AI

At a glance

Feature comparison of Cohere and Together AI
AttributeCohereTogether AI
CategoryInferenceInference
PricingFREEMIUMFREEMIUM
LicenseProprietaryProprietary
Deployment (differs)HybridCloud
Platforms (differs)Web, APIAPI
Model support (differs)Self-contained (on-device)Multi-model
Vendor (differs)Cohere Inc.Together
Capabilities (differs)
  • Tool / function calling
  • Model inference / serving
  • Fine-tuning / training
  • Embeddings
  • Transcription (STT)
  • Model inference / serving
  • Fine-tuning / training
  • Multi-model access
  • GPU compute

The honest brief

Cohere

Enterprise-first models built for private VPC/on-prem deployment, with best-in-class Rerank/Embed retrieval rather than consumer chat.

  • Strong Rerank/Embed retrieval models
  • Command models for agentic generation
  • Multilingual (Aya, 70+ languages)
  • Enterprise data-control focus
  • No consumer chat product to speak of
  • Smaller ecosystem than OpenAI/Anthropic
  • Production usage is paid

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 Model inference / serving and Fine-tuning / training.

Pick Cohere if you need Tool / function calling, Embeddings, and Transcription (STT).

  • Tool / function calling (secondary capability)
  • Embeddings (primary capability)
  • Transcription (STT) (secondary capability)

Pick Together AI if you need Multi-model access and GPU compute.

  • Multi-model access (secondary capability)
  • GPU compute (secondary capability)

Together AI leans on Fine-tuning / training as a headline capability; Cohere treats it as secondary.

  • Fine-tuning / training (primary capability)

They also differ on:

Deployment
Hybrid · Cloud
Platforms
Web, API · API
Model support
Self-contained (on-device) · Multi-model
Cohere detailsTogether AI detailsAll Inference apps