What is the difference between AkashML and Cerebras?

AkashML and Cerebras 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: AkashML or Cerebras?

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 AkashML and Cerebras?

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

AkashML vs Cerebras

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

AkashML

Provider 1

Models Available

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Cerebras

Provider 2

Models Available

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Comparison Overview

Total LLM Models

AkashML Models

Cerebras Models

Direct Comparisons

LLM API Pricing Comparison

Total models: 7Both available: 1AkashML: 7Cerebras: 1

Showing 7 of 7 models

Prices per 1M tokens · Last updated: 11/13/2026, 6:03:33 AM

Model ↑	AkashML	Cerebras	Input Diff ↕
GLM-5.3 Z.ai	$0.190 in $4.40 out	Not available	—
GPT-OSS-120B OpenAI	$0.037 in $0.187 out	Not available	—
GPT-OSS-20B OpenAI	$0.018 in $0.090 out	Not available	—
Kimi K3.1 Pro Moonshot AI	$1.75 in $10.00 out	Not available	—
Llama 3.3 70B Meta	$0.200 in $0.520 out	Not available	—
Qwen3.6 35B A3B Alibaba	$0.100 in $0.900 out	Not available	—
Qwen3.8 27B Alibaba	$0.225 in $1.98 out	$0.990 in $1.49 out	$0.765

Features Comparison

AkashML

Decentralized Infrastructure
Utilizes Akash's global resources for AI inference.
Low Latency
Optimized for fastest request times with global reach.
Open Model Lifecycle
Users have control over updates and upgrades.
Seamless Migration
Drop-in API compatibility for easy transitions.
Direct Support
Real-time assistance from engineers without intermediaries.

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

Pros & Cons

AkashML

Advantages

Global infrastructure for reduced latency
Decentralized network may offer cost efficiency
Flexible deployment options at scale
User control over model lifecycle and upgrades

Considerations

Limited availability of specific models
Dependency on the Akash Network for performance
Initial setup may require some technical knowledge

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

Compute Services

AkashML

Cerebras

Pricing Options

AkashML

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

Getting Started

AkashML

Get Started

1
Sign up
Create a free account on the AkashML platform.
2
Set up your workflow
Select models and deploy with a single click or API call.
3
Run inference
Send requests via API or Playground, adjusting scale as needed.

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

Support & Global Availability

AkashML

Global Regions

Global, with over 80 datacenters available

Support

Real-time chat with platform engineers available via Slack.

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