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
InferenceEnterprise-grade LLMs, embeddings, and retrieval built for private deployment.
View CohereAt a glance
| Attribute | Cohere | Together AI |
|---|---|---|
| Category | Inference | Inference |
| Pricing | FREEMIUM | FREEMIUM |
| License | Proprietary | Proprietary |
| Deployment (differs) | Hybrid | Cloud |
| Platforms (differs) | Web, API | API |
| Model support (differs) | Self-contained (on-device) | Multi-model |
| Vendor (differs) | Cohere Inc. | Together |
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