Cohere vs Groq — compare Other tools: pricing, rating, and features.
Who wins? Click the side you support to cast your vote.
| Category | Other | Other |
| Pricing | Freemium | Freemium |
| Rating | 4.5 | 4.5 |
| Features | Enterprise NLP. Embed, generate, and classify with API. NLPembedenterpriseAI | Fast inference API. LPU for low-latency LLM responses. inferencefastLPUAI |
Cohere
Input: $0.0004 per 1K tokens (Command R+)
Output: $0.0016 per 1K tokens (Command R+)
Groq
Input: $0.10 per 1M tokens
Output: $0.20 per 1M tokens
Subscription:Both freemium: Cohere offers limited free tier (10k tokens/month), custom enterprise pricing; Groq free tier (50k tokens/month), paid at $0.10/1M input tokens.
Latency / TTFT:Groq: ~5ms (LPU-optimized); Cohere: ~100ms (standard API latency)
Multimodal & ecosystem:Both are text-only; minimal plugins, basic API integrations with no major multimodal support.
Privacy & compliance:Cohere: SOC2, GDPR compliant; Groq: Unknown; no public compliance certifications found.
Choose Cohere for enterprise NLP tasks (classification/embedding) needing compliance; Groq for ultra-low-latency inference in high-speed applications. Cohere suits regulated industries; Groq excels in real-time use cases.