What is the difference between Cerebras and xAI?

Cerebras and xAI 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 xAI?

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 xAI?

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 xAI

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

Cerebras

Provider 1

Models Available

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xAI

Provider 2

Models Available

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Comparison Overview

Total LLM Models

Cerebras Models

xAI Models

Direct Comparisons

LLM API Pricing Comparison

Total models: 7Both available: 0Cerebras: 2xAI: 5

Showing 7 of 7 models

Prices per 1M tokens · Last updated: 10/22/2026, 8:57:43 PM

Model ↑	Cerebras	xAI	Input Diff ↕
GPT-OSS-120B OpenAI	$0.350 in $0.750 out	Not available	—
Grok 4.3 xAI	Not available	$1.25 in $2.50 out	—
Grok 4.5 xAI	Not available	$2.00 in $6.00 out	—
Grok 4.6 xAI	Not available	$2.00 in $6.00 out	—
Grok 4.7 xAI	Not available	$2.00 in $6.00 out	—
Grok Build 0.1 0616 xAI	Not available	$1.00 in $2.00 out	—
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

xAI

Grok text models
Chat Completions and Responses endpoints for the Grok models, with configurable reasoning and tool calling
Server-side tools
Web Search, X Search, code execution, file and collection search, and remote MCP tools billed per invocation on top of tokens
Imagine and Voice APIs
Image and video generation billed per image or second, and speech-to-speech, speech-to-text and text-to-speech endpoints
Batch API
Asynchronous processing with a discount on selected models, typically completed within 24 hours
Priority Processing
Higher scheduling priority for lower latency at a premium over standard token rates
Prompt caching
Cached prompt tokens are billed at a reduced rate

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

xAI

Advantages

First-party access to Grok models
Cached-input rates published per model
Batch and priority tiers for cost or latency trade-offs
Also available through Google Cloud Vertex AI and Microsoft Foundry

Considerations

Only xAI's own models are offered
Long-context requests above the published prompt threshold are billed at a higher rate for the whole request
Server-side tool calls add per-invocation charges on top of tokens

Compute Services

Cerebras

xAI

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

xAI

Per token

Input, cached input, and output tokens billed per 1M, with a higher long-context rate above a prompt-size threshold

Batch

Discounted asynchronous processing for selected models

Priority

A premium over standard rates for higher scheduling priority

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

xAI

Get Started

1
Create an account
Sign up on the xAI console and add credits
2
Create an API key
Generate a key in the console
3
Call the API
Send requests to api.x.ai with an OpenAI-compatible client or the xAI SDK

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

xAI

Support

Documentation, status page, and console support