What is the difference between Cohere and Groq?

Cohere and Groq are both cloud GPU providers offering different pricing models, features, and GPU availability. Use our comparison tool to see real-time pricing and feature differences.

Which is cheaper: Cohere or Groq?

Pricing varies by GPU model and usage requirements. Check our real-time comparison table to find the best deals for your specific needs.

Can I switch between Cohere and Groq?

Yes, both providers offer flexible cloud GPU services. However, consider factors like data transfer costs, setup time, and specific features when switching between providers.

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Cohere vs Groq

Compare LLM inference API pricing between Cohere and Groq. Find the best rates for AI training, inference, and ML workloads.

Cohere

Provider 1

Models Available

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Groq

Provider 2

Models Available

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Comparison Overview

Total LLM Models

Cohere Models

Groq Models

Direct Comparisons

LLM API Pricing Comparison

Total models: 6Both available: 0Cohere: 2Groq: 4

Showing 6 of 6 models

Prices per 1M tokens · Last updated: 9/10/2026, 6:01:39 AM

Model ↑	Cohere	Groq	Input Diff ↕
Command R Cohere	$0.150 in $0.600 out	Not available	—
Command R7B Cohere	$0.037 in $0.150 out	Not available	—
GPT-OSS-120B OpenAI	Not available	$0.150 in $0.600 out	—
GPT-OSS-20B OpenAI	Not available	$0.075 in $0.300 out	—
Qwen 3.6 27B Alibaba	Not available	$0.600 in $3.00 out	—
Qwen3.8 27B Alibaba	Not available	$0.800 in $4.00 out	—

Features Comparison

Cohere

Command Model Family
High-performance generative models combining reasoning, tool orchestration, and multimodal intelligence, supporting 49 languages
North Mini Code
Agentic coding model built for practical software engineering tasks
Aya Multilingual Models
Research-grade multilingual models (8B and 32B) excelling across diverse languages
Transcribe
High-fidelity speech-to-text model supporting 14 languages with robust real-world conversation handling
Embed & Rerank
Multimodal semantic search and relevance optimization for retrieval-augmented generation
Flexible Deployment
Deploy via cloud API, virtual private cloud, on-premises, or Cohere-managed Model Vault

Groq

LPU-Powered Inference
Custom Language Processing Units run inference, with 256 LPUs and 128 GB of on-chip SRAM per rack
OpenAI-Compatible API
Drop-in replacement for the OpenAI API at api.groq.com/openai/v1, including a Responses API
Layered Platform
GroqMetal bare-metal infrastructure, GroqCore inference stack, and GroqAssured enterprise governance, each including the layers below
Multimodal Endpoints
Text generation plus speech-to-text, text-to-speech, OCR and image recognition, and content moderation models
Agentic Systems and Built-In Tools
Compound systems that combine models with web search, code execution, remote MCP tools, and Google Workspace connectors
Service Tiers
Performance, flex, and batch processing tiers, plus prompt caching, structured outputs, and LoRA inference

Pros & Cons

Cohere

Advantages

Strong enterprise security and compliance focus
Flexible deployment options including on-premises
Excellent multilingual support with Aya models
Competitive pricing for high-quality models

Considerations

Smaller model ecosystem compared to OpenAI or Anthropic
Less name recognition in consumer AI space
Enterprise features may be overkill for smaller projects

Groq

Advantages

High published token speeds (500 t/s on GPT-OSS 120B, 1,000 t/s on GPT-OSS 20B)
OpenAI-compatible API for easy integration
Competitive pricing for open-weight models
Free tier available for testing

Considerations

Small model catalog: production text models are limited to OpenAI GPT-OSS
Focus on inference only - no training capabilities
Several models are preview-only and may be discontinued at short notice

Compute Services

Cohere

Groq

Pricing Options

Cohere

Pay-as-you-go

Production API keys billed per million input and output tokens, invoiced monthly or once an outstanding balance threshold is reached

Trial API Key

Free rate-limited key created automatically with every account, for development and testing but not commercial use

Model Vault

Dedicated managed inference priced per instance by model and performance tier, billed hourly or via monthly and annual commitments, with Fixed or Flex plans

Enterprise

Custom pricing for the North and Compass platforms, model customization, and private or on-premises deployments

Groq

Pay-per-token

Token-based pricing with separate input/output rates; audio models are billed per hour and speech models per character

Batch and flex processing

Alternative service tiers for throughput-tolerant or bursty workloads instead of the standard on-demand tier

Enterprise capacity

Dedicated capacity and enterprise-only models quoted through sales

Free tier

Rate-limited free access for development and testing

Getting Started

Cohere

Get Started

1
Create Cohere account
Sign up at dashboard.cohere.com
2
Get API key
Generate a trial or production API key from the dashboard
3
Install SDK
pip install cohere (Python) or npm install cohere-ai (TypeScript)
4
Make first API call
Call the Chat, Embed, or Rerank endpoint with your API key, or experiment in the dashboard Playground

Groq

Get Started

1
Create an account
Sign up at console.groq.com with email or OAuth
2
Get API key
Generate an API key from the console dashboard
3
Make API calls
Use the OpenAI-compatible endpoint with your preferred model

Support & Global Availability

Cohere

Global Regions

Global API access with deployment options including AWS, GCP, Azure, and on-premises installations

Support

Documentation, API reference, release notes, cookbooks, LLM University courses, Discord community, and enterprise support options

Groq

Global Regions

13 data centers across four continents, including sites in the US (Liberty Lake, St Paul, Dallas, Houston), Canada (Kamloops, Vaudreuil-Dorion, Calgary), Finland, the UK, Australia, and Saudi Arabia

Support

Documentation and API reference, developer community, production readiness guides, and enterprise onboarding via sales