Groq vs Cohere(2026)
Groq is better for teams that need fastest inference available. Cohere is the stronger choice if best-in-class embeddings. Groq is freemium (from $0.05/1M tokens) and Cohere is freemium (from $0.40/1M tokens (Command)).
Full feature breakdown, pricing details, and pros & cons below.
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Groq
Groq provides ultra-fast LLM inference using LPU hardware, with APIs for Llama, Mistral, and other open models.
Starting at $0.05/1M tokens
Visit GroqCohere
Cohere provides large language models optimized for enterprise use cases: embeddings, reranking, generation, and retrieval.
Starting at $0.40/1M tokens (Command)
Visit CohereHow Do Groq and Cohere Compare on Features?
| Feature | Groq | Cohere |
|---|---|---|
| Pricing model | freemium | freemium |
| Starting price | $0.05/1M tokens | $0.40/1M tokens (Command) |
| Ultra-fast inference (500+ tokens/s) | ✓ | — |
| Llama 3 | ✓ | — |
| Mistral | ✓ | — |
| Whisper | ✓ | — |
| Function calling | ✓ | — |
| OpenAI-compatible API | ✓ | — |
| Command (generation) | — | ✓ |
| Embed (embeddings) | — | ✓ |
| Rerank | — | ✓ |
| RAG support | — | ✓ |
| Fine-tuning | — | ✓ |
| Private deployment | — | ✓ |
Groq Pros and Cons vs Cohere
Groq
Cohere
Should You Use Groq or Cohere?
Choose Groq if…
- •Fastest inference available
- •Very cheap
- •OpenAI-compatible
Choose Cohere if…
- •Best-in-class embeddings
- •Enterprise-friendly
- •On-prem deployment available