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Cohere vs Groq: Best Other AI Tools in 2026?

Cohere vs Groq — compare Other tools: pricing, rating, and features.

Battle Vote

Who wins? Click the side you support to cast your vote.

VS
CategoryOtherOther
PricingFreemiumFreemium
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

AI In-Depth Evaluation

API Economics
Cohere charges per 1K tokens with custom enterprise pricing; Groq charges per 1M tokens with transparent rates.

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

Long-context / Context
Cohere: 32k tokens (Command R+); Groq: 8k tokens (Llama3-8B)
Cohere85/100
Groq70/100
Pricing & Capability Overview

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.

AI Deep Review

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.