What is the difference between Cerebras and EcoHash?

Cerebras and EcoHash 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 EcoHash?

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 EcoHash?

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

How many GPU models are available for comparison?

We track pricing for 1 different GPU models across both Cerebras and EcoHash, with 0 models available from both providers.

Cerebras vs EcoHash

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

Cerebras

Provider 1

GPUs Available

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EcoHash

Provider 2

GPUs Available

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Comparison Overview

Total GPU Models

Cerebras GPUs

EcoHash GPUs

Direct Comparisons

GPU Pricing Comparison

Total GPUs: 1Both available: 0Cerebras: 0EcoHash: 1

Showing 1 of 1 GPUs

Last updated: 10/13/2026, 3:06:56 AM

GPU Model ↑	Cerebras Price	EcoHash Price	Price Diff ↕	Sources
RTX PRO 6000 96GB VRAM • EcoHash	Not Available	$1.89/hr★ Best	—	EcoHash
RTX PRO 6000 96GB VRAM • Not Available EcoHash $1.89/hour Updated: 10/12/2026 ★Best Price EcoHash

RTX PRO 6000 96GB VRAM • EcoHash	Not Available	$1.89/hr★ Best	—	EcoHash
RTX PRO 6000 96GB VRAM • Not Available EcoHash $1.89/hour Updated: 10/12/2026 ★Best Price EcoHash

LLM API Pricing Comparison

Total models: 17Both available: 0Cerebras: 2EcoHash: 15

Showing 15 of 17 models

Prices per 1M tokens · Last updated: 10/13/2026, 3:06:56 AM

Model ↑	Cerebras	EcoHash	Input Diff ↕
DeepSeek V4 Flash DeepSeek	Not available	$0.490 in $1.42 out	—
DeepSeek V4 Pro DeepSeek	Not available	$0.910 in $2.72 out	—
GLM-5.2 Zhipu	Not available	$1.00 in $3.00 out	—
GLM-5.3 Z AI	Not available	$1.25 in $4.30 out	—
GPT-OSS-120B OpenAI	$0.350 in $0.750 out	Not available	—
GPT-OSS-20B OpenAI	Not available	$0.050 in $0.200 out	—
Kimi K3 Moonshot	Not available	$2.00 in $12.00 out	—
Llama 3.1 8B Meta	Not available	$0.100 in $0.100 out	—
MiniMax-M3 MiniMax	Not available	$0.200 in $0.900 out	—
Qwen 3 Coder 30B Alibaba	Not available	$0.100 in $0.300 out	—
Qwen 3.8 Flash Alibaba	Not available	$0.090 in $0.370 out	—
Qwen 3.8 Max Alibaba	Not available	$1.90 in $5.70 out	—
Qwen3 Omni 30B A3B Alibaba	Not available	$0.400 in $0.800 out	—
Qwen3 VL 8B Alibaba	Not available	$0.150 in $0.500 out	—
Qwen3.6 35B A3B Alibaba	Not available	$0.400 in $0.400 out	—

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

EcoHash

RTX PRO 6000 GPU Instances
Containerized Linux instances with 1, 2, 4 or 8 RTX PRO 6000 GPUs, with root access, SSH, a browser terminal and Jupyter.
GPU Clusters
Clusters of 2–8 identical replicas launched as one unit.
Per-Second Billing
GPU instances are billed per second of running time at one per-GPU rate across instance, dedicated-inference and cluster workloads.
OpenAI-Compatible Inference API
Pay-per-token access to platform models for chat, embeddings, reranking, image generation, speech-to-text, text-to-speech, voice cloning and video generation at api.ecohash.com.
Dedicated Inference
Deploy a Hugging Face or registered model as a managed endpoint called through the same API and key.
Managed Fine-Tuning
LoRA/QLoRA fine-tuning jobs on 1, 2 or 4 GPUs, billed per minute, with a dataset registry that validates JSONL before any GPU is booked.

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

EcoHash

Advantages

Per-second billing with a single per-GPU rate across instance sizes
96 GB of VRAM per GPU on Blackwell-generation RTX PRO 6000 cards
One OpenAI-compatible API for platform models and dedicated endpoints
Covers GPU rental, fine-tuning and inference on one account

Considerations

Single GPU model (RTX PRO 6000); no H100, H200 or B200 capacity
GPU instances available in the United States only
Fine-tuning limited to LoRA/QLoRA jobs on up to 4 GPUs

Compute Services

Cerebras

EcoHash

RTX PRO 6000 GPU Instances

Containerized Linux GPU instances with SSH, web-terminal and Jupyter access, billed per second at the same per-GPU rate for every size.

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

EcoHash

GPU instances

Per GPU-hour, billed per second of running time

Inference API

Per token for language models and per second for some media models, with no minimum commitment

Dedicated Inference

Per GPU-hour for the GPUs behind the endpoint

Fine-tuning

Per minute of GPU time

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

EcoHash

Get Started

1
Create an account
Sign up at console.ecohash.com.
2
Create an API key
Generate a key in the console for the inference API and dedicated endpoints.
3
Call a platform model
Point an OpenAI SDK client at https://api.ecohash.com/v1 and choose a model from the catalog.
4
Launch a GPU instance
Pick a compute template and a 1, 2, 4 or 8 GPU size, then connect over SSH, the browser terminal or Jupyter.

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

EcoHash

Global Regions

GPU instances: United States. Inference API: multi-region routing.

Support

Documentation at docs.ecohash.com and a contact form on ecohash.com; an SLA is published on the website.