What is the difference between Compute Cheap and EcoHash?

Compute Cheap 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: Compute Cheap 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 Compute Cheap 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 4 different GPU models across both Compute Cheap and EcoHash, with 0 models available from both providers.

Compute Cheap vs EcoHash

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

Compute Cheap

Provider 1

GPUs Available

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EcoHash

Provider 2

GPUs Available

Visit Website

Comparison Overview

Total GPU Models

Compute Cheap GPUs

EcoHash GPUs

Direct Comparisons

GPU Pricing Comparison

Total GPUs: 4Both available: 0Compute Cheap: 3EcoHash: 1

Showing 4 of 4 GPUs

Last updated: 10/6/2026, 3:07:52 AM

GPU Model ↑	Compute Cheap Price	EcoHash Price	Price Diff ↕	Sources
B200 180GB VRAM • Compute Cheap	$2.29/hr★ Best	Not Available	—	Compute Cheap
B200 180GB VRAM • Compute Cheap $2.29/hour Updated: 10/1/2026 ★Best Price Not Available Compute Cheap
H100 SXM 80GB VRAM • Compute Cheap	$1.15/hr★ Best	Not Available	—	Compute Cheap
H100 SXM 80GB VRAM • Compute Cheap $1.15/hour Updated: 10/1/2026 ★Best Price Not Available Compute Cheap
H200 141GB VRAM • Compute Cheap	$1.39/hr★ Best	Not Available	—	Compute Cheap
H200 141GB VRAM • Compute Cheap $1.39/hour Updated: 10/1/2026 ★Best Price Not Available Compute Cheap
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: 10/5/2026 ★Best Price EcoHash

B200 180GB VRAM • Compute Cheap	$2.29/hr★ Best	Not Available	—	Compute Cheap
B200 180GB VRAM • Compute Cheap $2.29/hour Updated: 10/1/2026 ★Best Price Not Available Compute Cheap
H100 SXM 80GB VRAM • Compute Cheap	$1.15/hr★ Best	Not Available	—	Compute Cheap
H100 SXM 80GB VRAM • Compute Cheap $1.15/hour Updated: 10/1/2026 ★Best Price Not Available Compute Cheap
H200 141GB VRAM • Compute Cheap	$1.39/hr★ Best	Not Available	—	Compute Cheap
H200 141GB VRAM • Compute Cheap $1.39/hour Updated: 10/1/2026 ★Best Price Not Available Compute Cheap
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: 10/5/2026 ★Best Price EcoHash

LLM API Pricing Comparison

Total models: 13Both available: 0Compute Cheap: 0EcoHash: 13

Showing 13 of 13 models

Prices per 1M tokens · Last updated: 10/6/2026, 3:07:52 AM

Model ↑	Compute Cheap	EcoHash	Input Diff ↕
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-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

Compute Cheap

Flexible pricing options
Offers both spot and on-demand pricing for GPU compute.
Marketplace model
Enables capacity owners to compete for workloads, ensuring transparent pricing.
Idle capacity utilization
Utilizes underused infrastructure for cost-effective compute.
Pay-as-you-go model
Charges are based on usage, with no long-term commitments.
GPU-centric architecture
Designed primarily around GPU resources without added complexities.

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

Compute Cheap

Advantages

Low-cost GPU options available
Flexible payment structure based on actual usage
Transparent pricing through marketplace competition
Efficient use of available hardware resources

Considerations

Lacks additional managed services
Limited details on support options

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

Compute Cheap

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

Compute Cheap

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

Compute Cheap

Get Started

1
Explore GPU options
Visit the pricing page to review available GPU types and configurations.
2
Select compute type
Choose between spot or on-demand GPU resources.
3
Request access
Fill out the request form to initiate use of resources.
4
Set up workflow
Integrate your applications with the Compute Cheap platform.
5
Launch workloads
Start your GPU compute tasks based on selected resources.

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

Compute Cheap

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.