What is the difference between Cerebras and Cohere?

Cerebras and Cohere 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: Cerebras or Cohere?

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 Cerebras and Cohere?

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

Cerebras vs Cohere

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

Cerebras

Provider 1

Models Available

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Cohere

Provider 2

Models Available

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Comparison Overview

Total LLM Models

Cerebras Models

Cohere Models

Direct Comparisons

LLM API Pricing Comparison

Total models: 4Both available: 0Cerebras: 2Cohere: 2

Showing 4 of 4 models

Prices per 1M tokens · Last updated: 10/6/2026, 10:09:13 PM

Model ↑	Cerebras	Cohere	Input Diff ↕
Command R Cohere	Not available	$0.150 in $0.600 out	—
Command R7B Cohere	Not available	$0.037 in $0.150 out	—
GPT-OSS-120B OpenAI	$0.350 in $0.750 out	Not available	—
Qwen3.8 27B Alibaba	$0.990 in $1.49 out	Not available	—

Features Comparison

Cerebras

Wafer-Scale Inference
Models run on the Cerebras Wafer-Scale Engine, which keeps model weights in on-chip SRAM to reach published speeds in the thousands of tokens per second
OpenAI-Compatible API
Chat Completions and Completions endpoints at api.cerebras.ai/v1, usable from the OpenAI SDKs or the Cerebras Python and TypeScript SDKs
Open-Weight Model Catalog
Public endpoints serve unmodified open-weight models such as OpenAI GPT OSS and Qwen, with a documented policy of no pruning on hosted models
Reasoning and Tool Calling
Configurable reasoning effort, streaming, structured outputs, parallel tool calling, and prompt caching across the catalog
Image Inputs
Vision-capable models accept PNG and JPEG images alongside text
Dedicated Endpoints
Private, provisioned endpoints on reserved capacity with fine-tuning, weight management, and additional model families, arranged through sales

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

Pros & Cons

Cerebras

Advantages

Published throughput in the thousands of tokens per second on public models
Drop-in OpenAI-compatible API with first-party Python and TypeScript SDKs
Serves original, unpruned open-weight models with a stated no-modification policy
Free trial credits on signup, then self-serve pay-as-you-go

Considerations

Very small public model catalog compared with GPU-based inference providers
Free-tier context windows are roughly half the paid-tier limits
Preview models can be withdrawn and are not intended for production use

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

Compute Services

Cerebras

Cohere

Pricing Options

Cerebras

Free Trial

Time-limited credits granted on signup, with lower rate limits and context windows than paid tiers

Developer (Pay as You Go)

Prepaid credits billed per million input and output tokens at published per-model rates

Enterprise and Dedicated Endpoints

Reserved capacity, higher rate limits, and additional models on custom terms through sales

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

Getting Started

Cerebras

Get Started

1
Create an account
Sign up at cloud.cerebras.ai and add a payment method to activate the free trial
2
Get an API key
Generate a key from the Cloud Console
3
Install an SDK
pip install cerebras_cloud_sdk or npm install @cerebras/cerebras_cloud_sdk, or use the OpenAI SDK pointed at api.cerebras.ai/v1
4
Make a request
Call chat completions with a model ID from the catalog, such as gpt-oss-120b

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

Support & Global Availability

Cerebras

Global Regions

Cerebras-operated data centers in North America, with expansion into Europe; no region selection on the public API

Support

Documentation and API reference, model-specific guides, Cloud Console usage monitoring, Discord community, and enterprise support for dedicated customers

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