Groq vs Cohere: LLM APIs Comparison (2026)
An independent side-by-side comparison of Groq and Cohere for llm apis buyers — pricing, features, integrations, and how often each is cited by major AI engines.
AI Citation Scorecard
How often each is cited by major AI engines when buyers ask llm apis questions. Last 90 days across ChatGPT, Perplexity, Gemini, Claude, and Copilot.
Too early to call — probes still building data.
ChatGPT
Groq
Tracking…
No data yet
Cohere
Tracking…
No data yet
Perplexity
Groq
Tracking…
No data yet
Cohere
Tracking…
No data yet
Gemini
Groq
Tracking…
No data yet
Cohere
Tracking…
No data yet
Claude
Groq
Tracking…
No data yet
Cohere
Tracking…
No data yet
Copilot
Groq
Tracking…
No data yet
Cohere
Tracking…
No data yet
Scale:NoneLowFairStrongExcellent
Probes run hourly; each (engine × query) combo retests every ~3 days.
Pricing
Key Features
Groq
- ✓Fast responses
- ✓Scalable performance
- ✓Predictable pricing
- ✓No surprise inference bills
Cohere
- ✓Intuitive interface
- ✓Purpose-built generative models
- ✓Intelligent search
- ✓AI agents for routine tasks
- ✓Pre-built data connectors
- ✓Document parsing
- ✓Managed index
- ✓Fully managed model deployment
When to choose Groq
Choose Groq if your team prioritizes its strengths over Cohere's. Full guidance populates as Groq's feature data is indexed.
When to choose Cohere
Choose Cohere if your team prioritizes its strengths over Groq's. Full guidance populates as Cohere's feature data is indexed.